Patent Grant
10909673
The present disclosure is directed generally to methods and systems for evaluating mobile phones and other consumer electronic devices and, more particularly, to methods and systems associated with detecting cracks in screens of such devices.
It is often necessary to visually evaluate a screen of a mobile device (e.g., a smartphone or tablet) to identify cracks or other defects in the mobile device. For example, pricing the mobile device, assessing the mobile device for possible repair, and evaluating the mobile device for warranty coverage all may require identification of any cracks in the mobile device's screen and/or in non-screen portions of the device. Individualized manual inspection of mobile device screens for cracks is slow, cumbersome, and can yield inconsistent results. Current automated methods for detecting cracks in other contexts are often over-inclusive resulting in high rates of false-positive crack indications, particularly when the mobile device screen is illuminated. Accordingly, there is a need for improved methods and systems for automatically detecting cracks in mobile device screens.
Overview
The following disclosure describes systems and methods for automated visual inspection and evaluation of electronic device screens. In particular, at least some embodiments of the present technology enable automatic crack detection in illuminated electronic device screens, which pose particular problems for conventional crack-detection techniques. Illuminated electronic device screens—that is, screens that are actively emitting light—pose particular difficulties in detecting cracks as the images displayed by the emitted light can result in improper crack identification.
To detect cracks, in accordance with some embodiments, an image of the illuminated electronic device screen is obtained under both lighted conditions (i.e., an external light is applied during the image capture) and unlighted conditions (i.e., no external light is applied during the image capture). The unlighted image can then be subtracted from the lighted image which reduces the intensity of the illuminated image of the device screen. The resulting image can be enhanced and converted to grayscale before performing crack detection.
In one embodiment, the routine can first identify cracks in non-screen regions of the image. If no cracks are found in this region, then the routine can identify cracks in the screen region utilizing the methods as described herein. In some embodiments, for example, the routine can first generate an “image pyramid” in which multiple different images are generated by scaling and subsampling the images. For example, a first “layer” in the image pyramid is the original image, the second downsampled by a factor of 2 in each direction, a third layer is downsampled by a factor of 3 in each direction, a fourth layer is downsampled by a factor of 4 in each direction, etc. Next, the routine can begin with a first layer of the image pyramid and convolve the image with a set of multiple kernels (also called convolution matrices) configured to identify energy response above some threshold for a line at various angles. Each kernel can include a line configured to correspond to a crack at or near a particular angular orientation (e.g., 5 degrees with respect to the horizontal, 15 degrees, 30 degrees, 45 degrees, etc.). Each kernel can further include four regions or quadrants: the left portion of the line (LL), the right portion of the line (RL), above the line (AL), and below the line (BL). The values computed in each of these regions (e.g., minimum brightness, maximum brightness, average brightness, and standard deviation of brightness) can be used to determine whether a line in the image that corresponds to that particular kernel is identified in that location, indicating the presence of a crack at that location. For example, if the average brightness of the LL and RL regions is greater than the average brightness of the AL and BL regions by some amount (e.g., by 8 or more brightness units), then a crack is indicated for that kernel at that location. At a given location, each kernel can be applied in sequence until a crack is identified. If no crack is identified, an adjacent location is selected (e.g., by translating some predetermined number of pixels away from the previous location), and the kernels are again applied in sequence. This continues until the kernels have swept across all locations corresponding to the screen region of the electronic device. If the number of identified cracks in that layer exceeds some predetermined threshold, then the screen is considered cracked. If the number of identified cracks do not exceed the predetermined threshold, then the process repeats with the next layer in the image pyramid. This iterative process can advantageously identify cracks in illuminated electronic device screens without unduly misidentifying images from the illuminated screens as cracks.
Certain details are set forth in the following description and in
The accompanying Figures depict embodiments of the present technology and are not intended to be limiting of the scope of the present technology. The sizes of various depicted elements are not necessarily drawn to scale, and these various elements may be arbitrarily enlarged to improve legibility. Component details may be abstracted in the Figures to exclude details such as the position of components and certain precise connections between such components when such details are unnecessary for a complete understanding of how to make and use the invention.
In the Figures, identical reference numbers may identify identical, or at least generally similar, elements. To facilitate the discussion of any particular element, the most significant digit or digits of any reference number may refer to the Figure in which that element is first introduced. For example, element 101 is first introduced and discussed with reference to
Detection of Cracks in Illuminated Electronic Device Screens
The imaging device 101 includes a processing component 111, a memory 213, input and output components 115 and 117, and a power component 125. The imaging device 101 further includes an image sensor 127, associated optics 129, an illumination source 131, and a communication component 119. The communication component 119 includes a wired connection 123 and a wireless transceiver 121. The computing device 105 can include several components similar to components of the imaging device 101. For example, the computing device 105 can include a processing component 133, memory 135 (which can store an operating system 137, applications 139, and data 141), along with input 143 and output 145 components and a power component 153. A communication component 147 of the computing device 105 includes a wired connection 151 and a wireless transceiver 147. These features of the imaging device 101 and the computing device 105 are described in more detail below in the context of a routine for detecting cracks in illuminated electronic device screens in accordance with an embodiment of the present technology.
In block 203, the routine 200 checks for an animated background by, for example, determining whether there is a large discrepancy in the screen portion of the image between the lighted image and the non-lighted image, or between subsequent images taken under the same lighting conditions. In one embodiment, several images of the screen can be taken in succession, and each image can then be subtracted from the others, or sequentially, or each from the first image, etc. The resulting difference can then be evaluated, e.g., if a brightness in the screen region of the resulting difference exceeds a predetermined threshold, then a discrepancy is identified. A discrepancy indicates an animated or otherwise changing wallpaper or background, which may deleteriously affect the operation of the routine 200. Accordingly, if an animated background is identified, a user can be prompted to disable this feature or the crack detection routine can be bypassed altogether.
In block 205, the routine 200 identifies cracks outside the screen region. This can be performed by the computing device using crack detection techniques such as a Canny edge detector, Hough transform, and other automated crack detection techniques, such as those described in more detail in co-pending and commonly owned U.S. patent application Ser. No. 15/130,851, titled METHODS AND SYSTEMS FOR DETECTING CRACKS IN ELECTRONIC DEVICES, filed Apr. 15, 2016, which is hereby incorporated by reference in its entirety. In some embodiments, if there are cracks found in the region outside the screen, then the phone is identified as “damaged” and the remainder of the crack detection process described below is bypassed. If no cracks are found in this region, then the routine can proceed to identify cracks in the screen region as described below.
Next, in block 207 the routine 200 generates an “image pyramid” in which multiple different images are generated by scaling and subsampling the image.
As described in more detail below, kernels can be convolved to select regions of these layers. Due to downsampling, the corresponding area of the electronic device screen 302 increases with each subsequent layer. The region 309, for example, illustrates a region corresponding to a particular kernel size and is not necessarily drawn to scale. In one embodiment, the region 309 corresponds to a region of 8×8 pixels in each layer, though in various embodiments the size of the kernels used can vary. As illustrated, the region 309 corresponds to a smaller proportional region of the screen in layer 301 than in layer 303, and similarly the region 309 corresponds to still smaller proportional regions of the screen in layers 305 and 307.
In block 209, the routine 200 selects the first layer 301 of the image pyramid. In one embodiment, the first layer 301 is the bottommost or original image. In block 211, the routine 200 identifies cracks in the selected layer. Identifying cracks involves a subroutine that first selects a first kernel and a first location in block 213. The first location can be, for example, an upper corner 304 of the screen 302 of the electronic device in the selected layer, and the first kernel can be, for example, kernel 311a in
In block 215, the routine 200 overlays the selected kernel at the selected location and identifies cracks. The routine can begin with the first layer of the image pyramid and convolve the image with a set of multiple kernels configured to identify cracks at various angles. Each kernel can be configured to correspond to a crack at or near a particular angular orientation (e.g., 5 degrees with respect to the horizontal, 15 degrees with respect to the horizontal, 30 degrees with respect to the horizontal, 45 degrees with respect to the horizontal, etc.).
As noted above, the kernel is aligned with a pixel at a selected location and values of the image that correspond to the four quadrants of the kernel (left portion of the line (LL), right portion of the line (RL), above the line (AL), and below the line (BL)) are identified. For each of these quadrants, the routine 200 can calculate the minimum brightness, maximum brightness, average brightness, and standard deviation of brightness. In one embodiment, the average brightness of the line region (Lavg) is calculated by averaging the brightness for the LL and RL regions and is designed as Lavg. The average brightness of the non-line region is then calculated by averaging the brightness for the AL and BL regions, and is designated as ALBLavg. With these values, a number of calculations can be used to determine if cracks are present and to perform secondary checks if cracks are found. By way of example, in one embodiment the selected location is marked as cracked if Lavg is greater than ALBLavg by some threshold amount, e.g. greater than eight brightness units.
If a crack is found at this step, then a series of secondary checks can be applied to reduce the incidence of false-positive crack identification. A first secondary check can include, for example, determining whether the average brightness values for the AL and BL regions (i.e., the non-line regions) are sufficiently close to one another. If the average brightness in these regions differs by greater than some threshold amount (e.g., greater than 5 brightness units apart), then any identified crack is disregarded. This secondary check ensures that the background of the identified crack is consistent.
A second secondary check can exclude any identified crack if either the AL or BL regions (i.e., the non-line regions) are too dark, e.g. having average brightness values less than 35 where the image has been normalized to an average brightness of 140). This excludes false-positives that may be attributable to the location being close to a dark icon displayed on the screen, or an artificial dark spot due to a subtraction artifact.
A third secondary check can exclude any identified crack if the average brightness of the RL and LL regions (Lavg) is much brighter than the average of the AL and BL regions (ALBLavg), for example if Lavg is greater than ALBLavg by more than 50 brightness units. This third secondary check can avoid situations in which characters displayed by the active display are inappropriately categorized as cracks in the initial crack detection process.
A fourth secondary check can exclude any identified crack if the average brightness values for LL and RL (i.e. the line regions) are too far apart, for example greater than 10 brightness units apart from one another. This ensures that any identified underlying crack extends along both the LL and RL regions, thereby excluding false-positives attributable to characters displayed in the active display that align with the LL region moreso than the RL region or vice versa. An actual crack that extends across the location covered by the kernel will tend to yield similar brightness values in the RL and LL regions.
A fifth secondary check can exclude any identified crack if any of the four regions (RL, LL, AL, and BL) have a maximum pixel brightness greater than some threshold value, e.g, greater than 110 brightness units. This can exclude areas in which artificially bright areas due to glints or image processing artifacts can negatively affect the crack-detection algorithm.
A sixth secondary check can exclude any identified crack if any of the four regions (RL, LL, AL, and BL) have a minimum pixel brightness below some value, e.g., less than 25 brightness units. This excludes false-positives that may be attributable to the location being close to a dark icon displayed on the screen or an artificial dark spot due to a subtraction artifact.
A seventh secondary check can evaluate each column and row of the kernel at the location for which a crack was identified to determine whether, for any three adjacent LL or RL values, the brightness values are monotonically increasing or decreasing. For example, kernel 313 shown in
Following the initial crack detection (e.g., if Lavg is greater than ALBLavg by more than some threshold amount), one or more of the secondary checks described above can be performed to confirm the indication of a crack at that location with that kernel. If any of the secondary checks indicate that the identified crack should be disregarded as a false positive, then no crack is found for that kernel at that location. If the initially identified crack passes all of the secondary checks applied, then a crack is indicated and the routine proceeds as described below. In some embodiments, an initially identified crack is excluded only if it fails some threshold number of the secondary checks (e.g., if the initially identified crack fails at least two secondary checks, at least three secondary checks, etc.).
In decision block 217, the routine 200 determines whether a crack is found for the selected kernel at the selected location. If no crack was found during the evaluation of block 215, then the routine 200 proceeds to decision block 219 to determine whether the final kernel has been completed (i.e., there are no remaining kernels in the series that have not yet been convolved at the selected location). If there are remaining kernels, then the routine 200 continues to block 221 to select the next kernel (e.g., moving from kernel 311a to kernel 311b in
Returning to decision block 217, if a crack was found during the evaluation of block 215, then after decision block 217 the routine 200 proceeds to decision block 223 to determine whether the final location has been evaluated. If not (i.e., there are remaining locations on the screen in the selected layer that have not yet been evaluated for cracks), then the routine proceeds to block 225, selects the next location (e.g., by moving a predetermined number of pixels to one side) and returns to block 215 to overlay the first kernel at the new location. This process can loop until each location on the screen has been evaluated. The locations can be overlapping portions, for example the adjacent location can be a 8×8 pixel square that is two pixels to the right of the previous 8×8 pixel square. The amount of overlap and the size of the kernels can be varied as desired. In some embodiments, the number of locations at which cracks have been identified is totaled and, if the sum exceeds some threshold value, the routine terminates with an indication that the screen is cracked. If the total number of locations at which cracks have been identified does not exceed the threshold, then the routine can proceed to evaluate additional layers of the image pyramid as described below.
Once the final location has been completed as determined in decision block 223, the routine 200 proceeds to decision block 227 to determine if the final layer has been completed. If not (i.e., there are remaining layers of the image pyramid that have not yet been evaluated), then the routine 200 continues to block 229 to select the next layer in the image pyramid, and returns to block 215 to overlay the first kernel at the first location in the newly selected layer and begins the crack identification process. If, in decision block 227, the routine 200 determines that the final layer has been completed, then the routine 200 ends. At this point, any number of cracks have been identified in various regions of the electronic device screen and in various layers of the image pyramid. These identified cracks can be evaluated to determine an overall crack score for the device, to test whether the total number exceeds a predetermined threshold, or to otherwise evaluate the overall condition of the electronic device for possible purchase.
Computing Environment
Referring again to
The electronic device 103 can be, for example, a smartphone, a tablet, a laptop, a handheld gaming device, a media player, or any such device submitted for evaluation that has a screen or other surface that may suffer cracks or similar defects. Although many embodiments of the present technology are described herein in the context of mobile phones, aspects of the present technology are not limited to mobile phones and generally apply to other consumer electronic devices. Such devices include, as non-limiting examples, all manner of mobile phones; smartphones; handheld devices; personal digital assistants (PDAs); MP3 or other digital music players; tablet, notebook, ultrabook and laptop computers; e-readers; all types of cameras; GPS devices; set-top boxes and other media players; VoIP phones; universal remote controls; wearable computers; and larger consumer electronic devices, such as desktop computers, TVs, projectors, DVRs, game consoles, etc.
The computing device 105 can be a CPU (e.g., housed within a user-operated kiosk) or another suitable processing device. The computing device 105 is configured to receive images of the electronic device 103 from the imaging device 101 and to automatically analyze the images to detect the presence of cracks or other defects. In some embodiments, the computing device 105 is remote from the imaging device 101 and can be in communication via the communications link 109. In other embodiments, the computing device 105 is connected to the imaging device 101 via a hardwire connection, or in certain embodiments the imaging device 101 and the computing device 105 are integrated into the same machine. The computing device 105 is also in communication with the database 107 which can store data used in automatically analyzing the images of the electronic device 103. The database 107 may also store the results of the automatic analysis of the images, other data about the electronic device 103, etc.
In the illustrated embodiment, various devices including the imaging device 101 and the computing device 105 exchanges information with one another via the communication link 109. Although the communication link 109 can include a publicly available network (e.g., the Internet with a web interface), a private communication link (e.g., an intranet or other network) can also be used. Moreover, in various embodiments the imaging device 101 is connected to a host computer (not shown) that facilitates the exchange of information between the imaging device 101, the computing device 105, remote computers, mobile devices, etc.
In the illustrated embodiment, the imaging device 101 includes the processing component 111 that controls operation of the imaging device 101 in accordance with computer-readable instructions stored in memory 113. The processing component 111 may include any logic processing unit, such as one or more central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The processing component 111 may be a single processing unit or multiple processing units in an electronic device or distributed across multiple devices. Aspects of the present technology can be embodied in a special purpose computing device or data processor that is specifically programmed, configured, or constructed to perform one or more of the computer-executable instructions explained in detail herein. Aspects of the present technology can also be practiced in distributed computing environments in which functions or modules are performed by remote processing devices that are linked through a communications network, such as a local area network (LAN), wide area network (WAN), or the Internet. In a distributed computing environment, modules can be located in both local and remote memory storage devices.
The processing component 111 is connected to memory 113, which can include a combination of temporary and/or permanent storage, and both read-only memory (ROM) and writable memory (e.g., random access memory or RAM), writable non-volatile memory such as flash memory or other solid-state memory, hard drives, removable media, magnetically or optically readable discs, nanotechnology memory, biological memory, and so forth. As used herein, memory does not include a transitory propagating signal per se. The memory 213 includes data storage that contains programs, software, and information, such as an operating system and data. Imaging device 101 operating system and data can include software and databases configured to control imaging device 101 components, process images, communicate and exchange data and information with remote computers and other devices, etc.
The imaging device 101 further includes input components 115 that can receive input from user interactions and provide input to the processing component 111, typically mediated by a hardware controller that interprets the raw signals received from the input device and communicates the information to the processing component 111 using a known communication protocol. Examples of an input component 115 include touchpad, a keyboard (with physical or virtual keys), a pointing device (such as a mouse, dial, or eye tracking device), a touchscreen that detects contact events when it is touched by a user, a microphone that receives audio input, etc. The imaging device 101 can also include various other input components 115 such as GPS or other location determination sensors, motion sensors, wearable input devices with accelerometers (e.g. wearable glove-type input devices), biometric sensors (e.g., fingerprint sensors), light sensors, card readers (e.g., magnetic stripe readers or memory card readers) or the like.
The processing component 111 is also connected to one or more various output components 117, e.g., directly or via a hardware controller. The output devices can include a display on which text and graphics are displayed. The display can be, for example, an LCD, LED, or OLED display screen, an e-ink display, a projected display (such as a heads-up display device), and/or a display integrated with a touchscreen that serves as an input device as well as an output device that provides graphical and textual visual feedback to a user. The output components 117 can also include a speaker for playing audio signals, haptic feedback devices for tactile output such as vibration, etc. In some implementations, a speaker and microphone are implemented by a combined audio input-output device.
In the illustrated embodiment, the imaging device 101 further includes one or more communication components 119. The communication components can include, for example, a wireless transceiver 121 (e.g., one or more of a Wi-Fi transceiver; Bluetooth transceiver; near-field communication (NFC) device; wireless modem or cellular radio utilizing GSM; CDMA, 3G and/or 4G technologies; etc.) and/or a wired network connection 123 (e.g., one or more of an Ethernet port, cable modem, FireWire cable, Lightning connector, universal serial bus (USB) port, etc.). The communication components 119 are suitable for communication between the imaging device 101 and other local and/or remote devices, e.g., the computing device 105, directly via a wired or wireless peer-to-peer connection and/or indirectly via the communication link 109 (which can include the Internet, a public or private intranet, a local or extended Wi-Fi network, cell towers, the plain old telephone system (POTS), etc.). For example, the wireless transceiver 121 of the imaging device 101 can connect to a wireless transceiver 149 of the computing device via the wireless connection. The imaging device 101 further includes power 125, which can include battery power and/or facility power for operation of the various electrical components associated with the imaging device 101.
The imaging device 101 further includes the image sensor 127, optics 129, and illumination source 131. The image sensor 127 can be, for example, a CCD sensor, a CMOS sensor, or any other type of image sensor or array of sensors. The image sensor 127 can be aligned with optics 129, for example one or more lenses, filters, or other optical elements, configured to orient and modulate incoming light before it reaches the image sensor 127. The illumination source 131 can be configured to direct illumination towards the field of view of the imaging device 101, and can be any type of light source, for example LEDs, fluorescent bulbs, etc. In some embodiments, the illumination source 131 includes multiple different types of light sources which can be individually activated, for example infrared, ultraviolet, broadband, etc.
The computing device 105 includes several components similar to those in the imaging device 101. In the illustrated embodiment, the computing device 105 includes a processing component 133 that controls operation of the computing device 105 in accordance with computer-readable instructions stored in memory 135. The processing component 133 may be any logic processing unit, such as one or more central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The processing component 133 may be a single processing unit or multiple processing units in an electronic device or distributed across multiple devices. The processing component 133 is connected to memory 135, which includes data storage that contains programs, software, and information, such as an operating system 137, application programs 139, and data 141. The operating system 137 can include, for example, Windows®, Linux®, Android™, iOS®, and/or an embedded real-time operating system. The application programs 139 and data 141 can include software and databases configured to control computing device 105 components, process and evaluate images received from the imaging device 101, communicate and exchange data and information with remote computers and other devices, etc.
The computing device 105 can include input components 143, such as a keyboard (with physical or virtual keys), a pointing device (such as a mouse, joystick, dial, or eye tracking device), a touchscreen, a microphone, and a camera for still photograph and/or video capture. The computing device 105 can also include various other input components 143 such as GPS or other location determination sensors, motion sensors, wearable input devices with accelerometers (e.g. wearable glove-type input devices); biometric sensors (e.g., fingerprint sensors), light sensors, card readers (e.g., magnetic stripe readers or memory card readers) and the like.
The processing component 133 can also be connected to one or more various output components 145, e.g., directly or via a hardware controller. The output devices can include a display such as an LCD, LED, or OLED display screen (such as a desktop computer screen, handheld device screen, or television screen), an e-ink display, a projected display (such as a heads-up display device), and/or a display integrated with a touchscreen that serves as an input device as well as an output device that provides graphical and textual visual feedback to the user. The output devices can also include a speaker for playing audio signals, haptic feedback devices for tactile output such as vibration, etc.
In the illustrated embodiment, computing device 105 further includes one or more communication components 147. The communication components can include, for example, a wireless transceiver 149 (e.g., one or more of a Wi-Fi transceiver; Bluetooth transceiver; near-field communication (NFC) device; wireless modem or cellular radio utilizing GSM, .CDMA, 3G and/or 4G technologies; etc.) and/or a wired network connector port 251 (e.g., one or more of an Ethernet port, cable modem, FireWire cable, Lightning connector, universal serial bus (USB) port, etc.). The communication components 147 are suitable for communication between the computing device 105 and other local and/or remote computing devices, e.g., the imaging device 101 via a wired or wireless peer-to-peer connection and/or indirectly via the communication link 109. For example, the wireless transceiver 149 of the computing device 105 can connect to the wireless transceiver 121 of imaging device 101, and/or the wired connector port 151 of the computing device 105 can connect to the wired connector port 123 of the imaging device 101. The computing device 105 further includes power 153, which can include battery power and/or facility power for operation of the various electrical components associated with the computing device 105.
Unless described otherwise, the construction and operation of the various components shown in
Kiosk Environment
In some embodiments, the routines described herein can be carried out using a kiosk that includes an imaging device (e.g., the imaging device 101) therein. In some embodiments, the kiosk can perform some or all of the functions performed by the computing device 105 described above, for example processing and evaluating images received from the imaging device 101. The kiosk can include, for example, a processing component (e.g., the computing device 105) and memory storing instructions that, when executed by the processing component, perform operations such as the routine 200 described above.
In the illustrated embodiment, the kiosk 400 is a floor-standing self-service kiosk configured for use by a user 401 (e.g., a consumer, customer, etc.) to recycle, sell, and/or perform other operations with a mobile phone or other consumer electronic device. In other embodiments, the kiosk 400 can be configured for use on a countertop or a similar raised surface. Although the kiosk 400 is configured for use by consumers, in various embodiments the kiosk 400 and/or various portions thereof can also be used by other operators, such as a retail clerk or kiosk assistant to facilitate the selling or other processing of mobile phones and other electronic devices.
In the illustrated embodiment, the kiosk 400 includes a housing 402 that is approximately the size of a conventional vending machine. The housing 402 can be of conventional manufacture from, for example, sheet metal, plastic panels, etc. A plurality of user interface devices are provided on a front portion of the housing 402 for providing instructions and other information to users, and/or for receiving user inputs and other information from users. For example, the kiosk 400 can include a display screen 404 (e.g., a liquid crystal display (“LCD”) or light emitting diode (“LED”) display screen, a projected display (such as a heads-up display or a head-mounted device), and so on) for providing information, prompts, etc., to users. The display screen 404 can include a touch screen for receiving user input and responses to displayed prompts. In addition or alternatively, the kiosk 400 can include a separate keyboard or keypad for this purpose. The kiosk 400 can also include an ID reader or scanner 412 (e.g., a driver's license scanner), a fingerprint reader 414, and one or more cameras 416 (e.g., digital still and/or video cameras, identified individually as cameras 416a-c). The kiosk 400 can additionally include output devices such as a label printer having an outlet 410, and a cash dispenser having an outlet 418. Although not identified in
A sidewall portion of the housing 402 can include a number of conveniences to help users recycle or otherwise process their mobile phones. For example, in the illustrated embodiment the kiosk 400 includes an accessory bin 428 that is configured to receive mobile device accessories that the user wishes to recycle or otherwise dispose of. Additionally, the kiosk 400 can provide a free charging station 426 with a plurality of electrical connectors 424 for charging a wide variety of mobile phones and other consumer electronic devices.
In the illustrated embodiment, the inspection plate 544 is configured to translate back and forth (on, e.g., parallel mounting tracks) to move an electronic device, such as the mobile phone 550, between a first position directly behind the access door 406 and a second position between an upper chamber 530 and an opposing lower chamber 532. Moreover, in this embodiment the inspection plate 544 is transparent, or at least partially transparent (e.g., formed of glass, Plexiglas, etc.) to enable the mobile phone 550 to be photographed and/or otherwise optically evaluated from all, or at least most viewing angles (e.g., top, bottom, sides, etc.) using, e.g., one or more cameras, mirrors, etc. mounted to or otherwise associated with the upper and lower chambers 530 and 532. When the mobile phone 550 is in the second position, the upper chamber 530 can translate downwardly to generally enclose the mobile phone 550 between the upper chamber 530 and the lower chamber 532. The upper chamber 530 is operably coupled to a gate 538 that moves up and down in unison with the upper chamber 530.
In some embodiments, the kiosk 400 includes the imaging device 101 disposed within the upper hood 530. The imaging device 101 can be used as described above to facilitate visual inspection of the mobile phone 550 in order to evaluate the screen for cracks. The upper chamber 530 and/or the lower chamber 532 can also include one or more magnification tools, scanners (e.g., bar code scanners, infrared scanners, etc.) or other imaging components (not shown) and an arrangement of mirrors (also not shown) to view, photograph and/or otherwise visually evaluate the mobile phone 550 from multiple perspectives. In some embodiments, one or more of the cameras and/or other imaging components discussed above can be movable to facilitate device evaluation. For example, as noted above with respect to
The kiosk 400 can be used in a number of different ways to efficiently facilitate the recycling, selling and/or other processing of mobile phones and other consumer electronic devices. Referring to
Referring next to
After the visual and electronic analysis of the mobile phone 550, the user is presented with a phone purchase price via the display screen 404, If the user declines the price (via, e.g., the touch screen), a retraction mechanism (not shown) automatically disconnects the connector 542 from the mobile phone 550, the door 406 opens, and the user can reach in and retrieve the mobile phone 550. If the user accepts the price, the door 406 remains closed and the user may be prompted to place his or her identification (e.g., a driver's license) in the ID scanner 412 and provide a thumbprint via the fingerprint reader 414. As a fraud prevention measure, the kiosk 400 can be configured to transmit an image of the driver's license to a remote computer screen, and an operator at the remote computer can visually compare the picture (and/or other information) on the driver's license to an image of the person standing in front of the kiosk 400 as viewed by one or more of the cameras 416a-c (
As those of ordinary skill in the art will appreciate, the foregoing routines are but some examples of ways in which the kiosk 400 can be used to recycle or otherwise process consumer electronic devices such as mobile phones. Although the foregoing example is described in the context of mobile phones, it should be understood that the kiosk 400 and various embodiments thereof can also be used in a similar manner for recycling virtually any consumer electronic device, such as MP3 players, tablet computers, PDAs, and other portable devices, as well as other relatively non-portable electronic devices such as desktop computers, printers, devices for implementing games, entertainment or other digital media on CDs, DVDs, Blu-ray, etc. Moreover, although the foregoing example is described in the context of use by a consumer, the kiosk 400 in various embodiments thereof can similarly be used by others, such as a store clerk, to assist consumers in recycling, selling, exchanging, etc. their electronic devices.
The disclosed technology also includes the disclosures of U.S. patent application Ser. No. 14/498,763, titled “METHODS AND SYSTEMS FOR PRICING AND PERFORMING OTHER PROCESSES ASSOCIATED WITH RECYCLING MOBILE PHONES AND OTHER ELECTRONIC DEVICES,” filed by the applicant on Sep. 26, 2014; U.S. patent application Ser. No. 14/500,739, titled “MAINTAINING SETS OF CABLE COMPONENTS USED FOR WIRED ANALYSIS, CHARGING, OR OTHER INTERACTION WITH PORTABLE ELECTRONIC DEVICES,” filed by the applicant on Sep. 29, 2014; U.S. patent application Ser. No. 14/873,158, titled “WIRELESS-ENABLED KIOSK FOR RECYCLING CONSUMER DEVICES,” filed by the applicant on Oct. 1, 2015; U.S. patent application Ser. No. 14/873,145, titled “APPLICATION FOR DEVICE EVALUATION AND OTHER PROCESSES ASSOCIATED WITH DEVICE RECYCLING,” filed by the applicant on Oct. 1, 2015; U.S. patent application Ser. No. 14/506,449, titled “SYSTEM FOR ELECTRICALLY TESTING MOBILE DEVICES AT A CONSUMER-OPERATED KIOSK, AND ASSOCIATED DEVICES AND METHODS,” filed by the applicant on Oct. 3, 2014; U.S. patent application Ser. No. 14/925,357, titled “SYSTEMS AND METHODS FOR RECYCLING CONSUMER ELECTRONIC DEVICES,” filed by the applicant on Oct. 28, 2015; U.S. patent application Ser. No. 14/925,375, titled “METHODS AND SYSTEMS FOR FACILITATING PROCESSES ASSOCIATED WITH INSURANCE SERVICES AND/OR OTHER SERVICES FOR ELECTRONIC DEVICES,” filed by the applicant on Oct. 28, 2015; U.S. patent application Ser. No. 14/964,963, titled “METHODS AND SYSTEMS FOR PROVIDING INFORMATION REGARDING COUPONS/PROMOTIONS AT KIOSKS FOR RECYCLING MOBILE PHONES AND OTHER ELECTRONIC DEVICES,” filed by the applicant on Dec. 10, 2015; U.S. patent application Ser. No. 14/568,051, titled “METHODS AND SYSTEMS FOR IDENTIFYING MOBILE PHONES AND OTHER ELECTRONIC DEVICES,” filed by the applicant on Dec. 11, 2014; U.S. patent application Ser. No. 14/966,346, titled “SYSTEMS AND METHODS FOR RECYCLING CONSUMER ELECTRONIC DEVICES,” filed by the applicant on Dec. 11, 2015; U.S. patent application Ser. No. 14/598,469, titled “METHODS AND SYSTEMS FOR DYNAMIC PRICING AND PERFORMING OTHER PROCESSES ASSOCIATED WITH RECYCLING MOBILE PHONES AND OTHER ELECTRONIC DEVICES,” filed by the applicant on Jan. 16, 2015; U.S. patent application Ser. No. 14/660,768, titled “SYSTEMS AND METHODS FOR INSPECTING MOBILE DEVICES AND OTHER CONSUMER ELECTRONIC DEVICES WITH A LASER,” filed by the applicant on Mar. 17, 2015; U.S. patent application Ser. No. 14/663,331, titled “DEVICE RECYCLING SYSTEMS WITH FACIAL RECOGNITION,” filed by the applicant on Mar. 19, 2015; U.S. provisional application No. 62/169,072, titled “METHODS AND SYSTEMS FOR VISUALLY EVALUATING ELECTRONIC DEVICES,” filed by the applicant on Jun. 1, 2015; U.S. provisional application No. 62/202,330, titled “METHODS AND SYSTEMS FOR INSPECTING MOBILE DEVICES AND OTHER CONSUMER ELECTRONIC DEVICES WITH ROBOTIC ACTUATION,” filed by the applicant on Aug. 7, 2015; U.S. patent application Ser. No. 15/057,707, titled “METHODS AND SYSTEMS FOR RECORDING INTERACTIONS WITH A SYSTEM FOR PURCHASING MOBILE PHONES AND OTHER ELECTRONIC DEVICES,” filed by the applicant on Mar. 1, 2016; U.S. patent application Ser. No. 14/873,158, titled “WIRELESS-ENABLED KIOSK FOR RECYCLING CONSUMER DEVICES,” filed by the applicant on Oct. 1, 2015; U.S. patent application Ser. No. 14/873,145, titled “APPLICATION FOR DEVICE EVALUATION AND OTHER PROCESSES ASSOCIATED WITH DEVICE RECYCLING,” filed by the applicant on Oct. 1, 2015; U.S. patent application Ser. No. 14/925,357, titled “SYSTEMS AND METHODS FOR RECYCLING CONSUMER ELECTRONIC DEVICES,” filed by the applicant on Oct. 28, 2015; U.S. patent application Ser. No. 14/925,375, titled “METHODS AND SYSTEMS FOR FACILITATING PROCESSES ASSOCIATED WITH INSURANCE SERVICES AND/OR OTHER SERVICES FOR ELECTRONIC DEVICES,” filed by the applicant on Oct. 28, 2015; U.S. patent application Ser. No. 14/934,134, titled “METHODS AND SYSTEMS FOR EVALUATING AND RECYCLING ELECTRONIC DEVICES,” and U.S. patent application Ser. No. 14/967,183, titled “SYSTEMS AND METHODS FOR RECYCLING CONSUMER ELECTRONIC DEVICES,” filed Dec. 11, 2015; U.S. patent application Ser. No. 15/130,851, titled “METHODS AND SYSTEMS FOR DETECTING CRACKS IN ELECTRONIC DEVICES,” filed Apr. 15, 2016; U.S. patent application Ser. No. 15/176,975 titled “METHODS AND SYSTEMS FOR DETECTING SCREEN COVERS ON ELECTRONIC DEVICES,” filed Jun. 8, 2016; and U.S. patent application No. 62/332,736, titled “METHODS AND SYSTEMS FOR DETECTING DAMAGE IN EDGE REGIONS OF MOBILE ELECTRONIC DEVICES,” filed May 6, 2016 each of which is incorporated herein by reference in its entirety. All of the patents and patent applications listed above are commonly owned by the applicant of the present application, and they along with any other patents or patent applications identified herein are incorporated herein by reference in their entireties.
While the Internet is shown, a private network, such as an intranet may likewise be used herein. The network may have a client-server architecture, in which a computer is dedicated to serving other client computers, or it may have other architectures such as peer-to-peer, in which one or more computers serve simultaneously as servers and clients. A database or databases, coupled to the server computer(s), stores much of the web pages and content exchanged between the user computers. The server computer(s), including the database(s), may employ security measures to inhibit malicious attacks on the system and preserve the integrity of the messages and data stored therein (e.g., firewall systems, message encryption and/or authentication (e.g., using transport layer security (TLS) or secure socket layers (SSL)), password protection schemes, encryption of stored data (e.g., using trusted computing hardware), and the like).
One skilled in the relevant art will appreciate that the concepts of the invention can be used in various environments other than location based or the Internet. In general, a display description may be in HTML, XML or WAP format, email format or any other format suitable for displaying information (including character/code-based formats, algorithm-based formats (e.g., vector generated), and bitmapped formats). Also, various communication channels, such as local area networks, wide area networks, or point-to-point dial-up connections, may be used instead of the Internet. The system may be conducted within a single computer environment, rather than a client/server environment. Also, the user computers may comprise any combination of hardware or software that interacts with the server computer, such as television-based systems and various other consumer products through which commercial or noncommercial transactions can be conducted. The various aspects of the invention described herein can be implemented in or for any e-mail environment.
Although not required, aspects of the invention are described in the general context of computer-executable instructions, such as routines executed by a general-purpose data processing device, e.g., a server computer, wireless device or personal computer. Those skilled in the relevant art will appreciate that aspects of the invention can be practiced with other communications, data processing, or computer system configurations, including Internet appliances, hand-held devices (including personal digital assistants (PDAs)), wearable computers, all manner of cellular or mobile phones (including Voice over IP (VoIP) phones), dumb terminals, media players, gaming devices, multi-processor systems, microprocessor-based or programmable consumer electronics, set-top boxes, network PCs, mini-computers, mainframe computers, and the like. Indeed, the terms “computer,” “server,” “host,” “host system,” and the like, are generally used interchangeably herein, and refer to any of the above devices and systems, as well as any data processor. Input devices may include a touchpad, keyboard and/or a pointing device such as a mouse. Other input devices are possible such as a microphone, joystick, pen, game pad, scanner, digital camera, video camera, and the like. The data storage devices may include any type of computer-readable media that can store data accessible by a computer, such as magnetic hard and floppy disk drives, optical disk drives, magnetic cassettes, tape drives, flash memory cards, digital video disks (DVDs), Bernoulli cartridges, RAMs, ROMs, smart cards, etc. Indeed, any medium for storing or transmitting computer-readable instructions and data may be employed, including a connection port to a network such as a local area network (LAN), wide area network (WAN) or the Internet.
Aspects of the invention can be embodied in a special purpose computer or data processor that is specifically programmed, configured, or constructed to perform one or more of the computer-executable instructions explained in detail herein. While aspects of the invention, such as certain functions, are described as being performed exclusively on a single device, the invention can also be practiced in distributed environments where functions or modules are shared among disparate processing devices, which are linked through a communications network, such as a Local Area Network (LAN), Wide Area Network (WAN), or the Internet. In a distributed computing environment, program modules may be located in both local and remote memory storage devices.
Aspects of the invention may be stored or distributed on tangible computer-readable media, including magnetically or optically readable computer discs, hard-wired or preprogrammed chips (e.g., EEPROM semiconductor chips), nanotechnology memory, biological memory; or other data storage media. The data storage devices may include any type of computer-readable media that can store data accessible by a computer, such as magnetic hard and floppy disk drives, optical disk drives, magnetic cassettes, tape drives, flash memory cards, DVDs, Bernoulli cartridges, RAM, ROMs, smart cards, etc. Indeed, any medium for storing or transmitting computer-readable instructions and data may be employed, including a connection port to a network such as a LAN, WAN, or the Internet. Alternatively, computer implemented instructions, data structures, screen displays, and other data under aspects of the invention may be distributed over the Internet or over other networks (including wireless networks), on a propagated signal on a propagation medium (e.g.; an electromagnetic wave(s), a sound wave, etc.) over a period of time, or they may be provided on any analog or digital network (packet switched, circuit switched, or other scheme). The terms “memory” and “computer-readable storage medium” include any combination of temporary, persistent, and/or permanent storage, e.g., ROM, writable memory such as RAM, writable non-volatile memory such as flash memory, hard drives, solid state drives, removable media, and so forth, but do not include a propagating signal per se.
The above Detailed Description of examples and embodiments of the invention is not intended to be exhaustive or to limit the invention to the precise form disclosed above. While specific examples for the invention are described above for illustrative purposes, various equivalent modifications are possible within the scope of the invention, as those skilled in the relevant art will recognize. References throughout the foregoing description to features, advantages, or similar language do not imply that all of the features and advantages that may be realized with the present technology should be or are in any single embodiment of the invention. Rather, language referring to the features and advantages is understood to mean that a specific feature, advantage, or characteristic described in connection with an embodiment is included in at least one embodiment of the present technology. Thus, discussion of the features and advantages, and similar language, throughout this specification may, but do not necessarily, refer to the same embodiment. Furthermore, the described features, advantages, and characteristics of the present technology may be combined in any suitable manner in one or more embodiments. One skilled in the relevant art will recognize that the present technology can be practiced without one or more of the specific features or advantages of a particular embodiment. In other instances, additional features and advantages may be recognized in certain embodiments that may not be present in all embodiments of the present technology.
Any patents and applications and other references noted above, including any that may be listed in accompanying filing papers, are incorporated herein by reference. Aspects of the invention can be modified, if necessary, to employ the systems, functions, and concepts of the various references described above to provide yet further implementations of the invention.
Unless the context clearly requires otherwise, throughout the description and the claims, the words “comprise,” “comprising,” and the like, are to be construed in an inclusive sense, as opposed to an exclusive or exhaustive sense; that is to say, in the sense of “including, but not limited to,” As used herein, the terms “connected,” “coupled,” or any variant thereof, means any connection or coupling, either direct or indirect, between two or more elements; the coupling or connection between the elements can be physical, logical, or a combination thereof. Additionally, the words “herein,” “above,” “below,” and words of similar import, when used in this application, refer to this application as a whole and not to any particular portions of this application. Where the context permits, words in the above Detailed Description using the singular or plural number may also include the plural or singular number respectively. The word “or,” in reference to a list of two or more items, covers all of the following interpretations of the word: any of the items in the list, all of the items in the list, and any combination of the items in the list.
The teachings of the invention provided herein can be applied to other systems, not necessarily the system described above. The elements and acts of the various examples described above can be combined to provide further implementations of the invention. Some alternative implementations of the invention may include not only additional elements to those implementations noted above, but also may include fewer elements. Further any specific numbers noted herein are only examples—alternative implementations may employ differing values or ranges.
While the above description describes various embodiments of the invention and the best mode contemplated, regardless how detailed the above text, the invention can be practiced in many ways. Details of the system may vary considerably in its specific implementation, while still being encompassed by the present disclosure. As noted above, particular terminology used when describing certain features or aspects of the invention should not be taken to imply that the terminology is being redefined herein to be restricted to any specific characteristics, features, or aspects of the invention with which that terminology is associated. In general, the terms used in the following claims should not be construed to limit the invention to the specific examples disclosed in the specification, unless the above Detailed Description section explicitly defines such terms. Accordingly, the actual scope of the invention encompasses not only the disclosed examples, but also 811 equivalent ways of practicing or implementing the invention under the claims.
From the foregoing, it will be appreciated that specific embodiments of the invention have been described herein for purposes of illustration, but that various modifications may be made without deviating from the spirit and scope of the various embodiments of the invention. Further, while various advantages associated with certain embodiments of the invention have been described above in the context of those embodiments, other embodiments may also exhibit such advantages, and not all embodiments need necessarily exhibit such advantages to fall within the scope of the invention. Accordingly, the invention is not limited, except as by the appended claims. Although certain aspects of the invention are presented below in certain claim forms, the applicant contemplates the various aspects of the invention in any number of claim forms. Accordingly, the applicant reserves the right to pursue additional claims after filing this application to pursue such additional claim forms, in either this application or in a continuing application.
This application is a continuation of U.S. patent application Ser. No. 15/195,828, titled “METHODS AND SYSTEMS FOR DETECTING CRACKS IN ILLUMINATED ELECTRONIC DEVICE SCREENS,” and filed Jun. 28, 2016, now U.S. Pat. No. 10,269,110, the disclosure of which is incorporated herein by reference in its entirety.
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| Number | Date | Country | |
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| 20200020091 A1 | Jan 2020 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | 15195828 | Jun 2016 | US |
| Child | 16357041 | US |
