Patent Application
20220383739
This application claims the benefit of Chinese Application Serial No. 202110597577.5, filed May 31, 2021, which is hereby incorporated herein by reference in its entirety.
The present invention relates to a reward system and a method thereof, and more particularly to a reward system for collecting feedback based on driving records and road conditions and a method thereof.
In recent years, with the popularity and vigorous development of the Internet of Things (IoT), various applications based on the IoT have sprung up. Among these applications, the Internet of Vehicles (IoV) is one of the applications of the IoT in the transportation field.
Generally speaking, conventional bicycles, cars, motorcycles or the like do not have the ability to connect to the network, so they are very limited in real-time data; for example, the update of map data for road navigation is taken as an example, it is difficult for a map-data host to obtain the real-time traffic-condition data, and it is also difficult for users (such as driver) to update the latest traffic-condition data in real time. On the other hand, in addition to the manufacturer's own investment in the update of traffic-condition data, the general user's willingness to provide real-time traffic-condition data is very limited, so there is a problem of insufficient real-time update of traffic-condition data and the user's poor incentive for providing traffic-condition data.
Therefore, some manufacturers have proposed the technical solution of using RN, and the technical solution enables drivers to stay connected to the map-data host through the network in real time and download the latest traffic-condition data from the map-data host. However, this technical solution only solves a part of the above-mentioned problem; that is, although the traffic-condition data can be downloaded from the map-data host, the traffic-condition data stored in the map-data host may be not the latest, so the user is still possible to obtain the outdated traffic-condition data. Obviously, the above-mentioned technical solution is still unable to effectively solve the problem of insufficient timeliness of the traffic-condition data and the user's poor incentive for providing the traffic-condition data.
According to the above-mentioned contents, what is needed is to develop an improved technical solution to solve the above-mentioned conventional technology problem of insufficient timeliness of the traffic-condition data and the user's poor incentive for providing the traffic-condition data.
An objective of the present invention is to disclose a reward system for collecting feedback based on driving records and road conditions and a method thereof, so as to solve the above-mentioned conventional technology problem.
In order to achieve the objective, the present invention discloses a reward system for collecting feedback based on driving records and road conditions, the reward system includes at least one camera, an identifying module, a processing module and a map-data host. The at least one camera is disposed on a vehicle body, and when the at least one camera is enabled, the at least one camera continuously shoots to generate and transmit traffic-condition data. The identifying module is connected to the at least one camera and configured to receive the traffic-condition data from the at least one camera, and perform image identification on the received traffic-condition data to identify a traffic flow and a road-sign area in the traffic-condition data. When identifying that the road-sign area exists in the traffic-condition data, the identifying module performs an optical character recognition on the road-sign area to generate a geographic location information. The processing module is connected to the identifying module and configured to embed user information, the traffic flow and the geographic location information into the corresponding traffic-condition data, and transmit the embedded traffic-condition data. through network. The map-data host includes a storage module and a reward module. The storage module is configured to classify and store the traffic-condition data based on at least one of the user information and the geographic location information embedded in the traffic-condition data, when receiving the traffic-condition data. The reward module is connected to the storage module and configured to calculate a contribution reward corresponding to the user information when the geographic location information of the traffic-condition data matches with road congestion location information and a clarity of the traffic-condition data is greater than a preset threshold.
In order to achieve the objective, the present invention discloses a reward method for collecting feedback based on driving records and road conditions, and the reward method includes steps of: disposing at least one camera on the vehicle body, wherein when the camera is enabled, the camera continuously shoots to generate traffic-condition data; performing image identification on the traffic-condition data to identify a traffic flow and a road-sign area in the traffic-condition data, and when the road-sign area is identified in the traffic-condition data, performing an optical character recognition on the road-sign area to generate a geographic location information; embedding user information, the traffic flow and the geographic location information into the corresponding traffic-condition data, and transmitting the embedded traffic-condition data to a map-data host through network; when the map-data host receives the traffic-condition data, classifying and storing the traffic-condition data based on at least one of the user information and the geographic location information embedded in the traffic-condition data; and when the geographic location information of the traffic-condition data matches with road congestion location information and a clarity of the traffic-condition data is greater than a preset threshold, using the map-data host to calculate a contribution reward corresponding to the user information.
According to the above-mentioned system and method of the present invention, the difference between the present invention and the conventional technology is that, in the reward system of the present invention, the camera disposed on a vehicle body can generate traffic-condition data, and image identification is performed on the traffic flow and the road-sign area in the traffic-condition data, and when the road-sign area is identified, the optical character recognition is performed on the road-sign area to generate the geographic location information, and the user information, the traffic flow and the geographic location information are embedded into the corresponding traffic-condition data, and the embedded traffic-condition data is transmitted to the map-data host for classification and storage; when the geographic location information of the traffic-condition data matches with road congestion location information and the clarity of the traffic-condition data is greater than the preset threshold, the contribution reward corresponding to the user information is calculated.
The above-mentioned technical solution of the present invention is able to achieve the technical effect of improving timeliness of traffic-condition data update and the user's incentive for providing traffic-condition data.
The structure, operating principle and effects of the present invention will be described in detail by way of various embodiments which are illustrated in the accompanying drawings.
The following embodiments of the present invention are herein described in detail with reference to the accompanying drawings. These drawings show specific examples of the embodiments of the present invention. These embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. It is to be acknowledged that these embodiments are exemplary implementations and are not to be construed as limiting the scope of the present invention in any way. Further modifications to the disclosed embodiments, as well as other embodiments, are also included within the scope of the appended claims.
These embodiments are provided so that this disclosure is thorough and complete, and fully conveys the inventive concept to those skilled in the art. Regarding the drawings, the relative proportions and ratios of elements in the drawings may be exaggerated or diminished in size for the sake of clarity and convenience. Such arbitrary proportions are only illustrative and not limiting in any way. The same reference numbers are used in the drawings and description to refer to the same or like parts. As used herein, the singular forms “a”, “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It is to be acknowledged that, although the terms ‘first’, ‘second’, ‘third’, and so on, may be used herein to describe various elements, these elements should not be limited by these terms. These terms are used only for the purpose of distinguishing one component from another component. Thus, a first element discussed herein could be termed a second element without altering the description of the present disclosure. As used herein, the term “or” includes any and all combinations of one or more of the associated listed items.
It will be acknowledged that when an element or layer is referred to as being “on,” “connected to” or “coupled to” another element or layer, it can be directly on, connected or coupled to the other element or layer, or intervening elements or layers may be present. In contrast, when an element is referred to as being “directly on,” “directly connected to” or “directly coupled to” another element or layer, there are no intervening elements or layers present.
In addition, unless explicitly described to the contrary, the words “comprise” and “include”, and variations such as “comprises”, “comprising”, “includes”, or “including”, will be acknowledged to imply the inclusion of stated elements but not the exclusion of any other elements.
The terms defined in the present invention are explained before description of the reward system for collecting feedback based on driving records and road conditions and a method thereof. In the present invention, the term “traffic-condition data” of the present invention means the traffic condition image or video shot by the camera.
A reward system for collecting feedback based on driving records and road conditions and a method thereof of the present invention will hereinafter be described in more detail with reference to the accompanying drawings. Please refer to
The identifying module 120 is connected to the camera 110, configured to receive the traffic-condition data from the camera 110, and perform the image identification on the received traffic-condition data, so as to identify a traffic flow and a road-sign area in the traffic-condition data. When the road-sign area is identified in the traffic-condition data, the identifying module 120 performs optical character recognition (OCR) on the road-sign area to generate the geographic location information. In actual implementation, the neural network based artificial intelligence can be used to perform the identification of the traffic flow and the road-sign area, for example, the artificial intelligence based image identification can be performed to identify vehicles in the traffic-condition data, and the amount of the identified vehicle can be calculated as the traffic flow; furthermore, in order to identify the road-sign area, the rectangular blocks showing white characters on a blue background, a green background and a brown background can be identified as the road-sign area; however, the present invention is not limited to these examples, and the identification process can be adjusted in accordance with the regulations of road traffic signs in various countries.
The processing module 130 is connected to the identifying module 120 and configured to embed user information, the traffic flow and the geographic location information into the corresponding traffic-condition data, and then transmit the embedded traffic-condition data through the network. For example, the user information can be “A1001”, the traffic flow can be a value of 5, and the geographic location information can be “section 3 of Bade road”. The processing module 130 embeds the information into the traffic-condition data, for example, the information can be added at the end, header or assigned field of an image/video file.
The map-data host 140 includes a storage module 141 and a reward module 142. When receiving the traffic-condition data, the storage module classifies and stores the traffic-condition data based on at least one of the user information and the geographic location information embedded in the traffic-condition data.. In actual implementation, the map-data host 140 can receive a usage area range (such as Bade road) set by the user; and compare the usage area range with the geographic location information of the traffic-condition data stored in the storage module 141, and then load the traffic-condition data matching with the usage area range, for example, the geographic location information is traffic-condition data of the Bade road; the map-data host 140 can display the traffic-condition data loaded from the storage module 141 and map information corresponding to the usage area range for example, the map information of Bade road. In practical application, the storage module 141 can be implemented by software, hardware or a combination thereof, such as database, files, hard drives, memory, disks, magnetic tape machine. Furthermore, when the traffic-condition data includes a shooting time, the map-data host 140 can classify and store the traffic-condition data based on the shooting time, and adjust an order of loading and displaying the traffic-condition data based on a difference between the shooting time and current time, for example, the traffic-condition data with a smaller difference is loaded and displayed in higher priority.
The reward module 142 is connected to the storage module 141. When the geographic location information of the traffic-condition data matches with road congestion location information and a clarity of the traffic-condition data is greater than a preset threshold, the reward module 142 calculates a contribution reward corresponding to the user information in actual implementation, the map-data host 140 can adjust the contribution reward corresponding to the user information based on at least one of a size of the traffic flow, repeat times of the geographic location information, and the times of loading the traffic-condition data. For example, in a condition that the traffic-condition data transmitted from a user A shows a higher traffic flow, it indicates that the traffic-condition data has higher importance, so the contribution reward for the user A is increased; in contrast, when the traffic-condition data has lower importance, the contribution reward for the user A is decreased. In a condition that the repeat times of the geographic location information, which corresponds to the traffic-condition data transmitted from the user A, is higher, it indicates that other user has transmitted the traffic-condition data already, so the contribution reward for the user A transmitting this traffic-condition data is decreased; in contrast, the contribution reward is increased. In a condition that the loading times of the traffic-condition data is higher, it indicates that more people require this traffic-condition data, the contribution reward is increased; in contrast, the contribution reward is decreased. The above-mentioned increasing and decreasing operations are taken as examples, when the original single contribution reward is 100%, and the increasing operation is to adjust the single contribution reward up to 200%, and the decreasing operation is to adjust the single contribution reward down to 50%. Furthermore, the map-data host 140 can be permitted to receive road congestion location information from the network, and permitted to input the traffic-condition data into a road congestion recognition model which is built based on a neural network and trained completely, and when the road congestion recognition model recognizes the traffic-condition data as a road congestion, the geographic location information of the traffic-condition data is used as the road congestion location information. In an embodiment, the road congestion recognition model can be a machine learning model which is trained completely, and the machine learning model can be built by deep learning technology, such as deep neural network (DNN), convolution neural network (CNN), recursive neural network (RNN) or sequential approximation neural network. Furthermore, after the map-data. host 140 calculates the contribution reward corresponding to the user information, the permission of using the hardware resource of the map-data host 140 can be adjusted based on the contribution reward; the hardware resource includes storage space, network bandwidth and memory. For example, the higher contribution reward means permission to use more hardware resources; in contrast, the lower contribution reward means permission to use fewer hardware resources. It is particularly noted that the contribution reward can be implemented by usage of more hardware resources, usage points, or bonus, and the rewards can be used to purchase, rent, or discount a product or service, so as to improve the user's incentives for providing the traffic-condition data.
It is to further explain that the camera, the identifying module and the processing module can be disposed in a mobile device; or the identifying module and the processing module can be disposed in the mobile device, and the mobile device is permitted to interconnect with the camera and the map-data host to transmit the traffic-condition data through the network; or the identifying module and the processing module can be disposed in the map-data host 140. In other words, the mobile device having camera and network transmission functions can interconnect with the map-data host with mobile application through a high speed network, for example, through 5th generation mobile networks (5G); or an additional camera is used to interconnect mobile application of the mobile phone and then interconnect to the map-data host in high speed, so as to implement the device design in consideration of low cost.
It is to be particularly noted that, in actual implementation, the modules of the present invention can be implemented by various manners, including software, hardware or any combination thereof, for example, in an embodiment, the module can be implemented by software and hardware, or one of software and hardware. Furthermore, the present invention can be implemented fully or partly based on hardware, for example, one or more module of the system can be implemented by integrated circuit chip, system on chip (SOC), a complex programmable logic device (CPLD), or a field programmable gate array (FPGA). The concept of the present invention can be implemented by a system, a method and/or a computer program. The computer program can include computer-readable storage medium which records computer readable program instructions, and the processor can execute the computer readable program instructions to implement concepts of the present invention. The computer-readable storage medium can be a tangible apparatus for holding and storing the instructions executable of an instruction executing apparatus Computer-readable storage medium can he, but not limited to electronic storage apparatus, magnetic storage apparatus, optical storage apparatus, electromagnetic storage apparatus, semiconductor storage apparatus, or any appropriate combination thereof. More particularly, the computer-readable storage medium can include a hard disk, an RAM memory, a read-only-memory, a flash memory, an optical disk, a floppy disc or any appropriate combination thereof, but this exemplary list is not an exhaustive list. The computer-readable storage medium is not interpreted as the instantaneous signal such a radio wave or other freely propagating electromagnetic wave, or electromagnetic wave propagated through waveguide, or other transmission medium (such as optical signal transmitted through fiber cable), or electric signal transmitted through electric wire. Furthermore, the computer readable program instruction can be downloaded from the computer-readable storage medium to each calculating/processing apparatus, or downloaded through network, such as internet network, local area network, wide area network and/or wireless network, to external computer equipment or external storage apparatus. The network includes copper transmission cable, fiber transmission, wireless transmission, router, firewall, switch, huh and/or gateway. The network card or network interface of each calculating/processing apparatus can receive the computer readable program instructions from network, and forward the computer readable program instruction to store in computer-readable storage medium of each calculating/processing apparatus. The computer program instructions for executing the operation of the present invention can include source code or object code programmed by assembly language instructions, instruction-set-structure instructions, machine instructions, machine-related instructions, micro instructions, firmware instructions or any combination of one or more programming language. The programming language include object oriented programming language, such as Common Lisp, Python, C++, Objective-C, Smalltalk, Delphi, Java, Swift, C#, Perl, Ruby, and PHP, or regular procedural programming language such as C language or similar programming language. The computer readable program instruction can be fully or partially executed in a computer, or executed as independent software, or partially executed in the client-end computer and partially executed in a remote computer, or fully executed in a remote computer or a server.
Please refer to
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The embodiment of the present invention will be described in the following paragraphs with reference to
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According to above-mentioned contents, the difference between the present invention and the conventional technology is that, in the reward system of the present invention, the camera disposed on a vehicle body can generate traffic-condition data, and image identification is performed on the traffic flow and the road-sign area in the traffic-condition data, and when the road-sign area is identified, the optical character recognition is performed on the road-sign area to generate the geographic location information, and the user information, the traffic flow and the geographic location information are embedded into the corresponding traffic-condition data, and the embedded traffic-condition data is transmitted to the map-data host for classification and storage; when the geographic location information of the traffic-condition data matches with road congestion location information and the clarity of the traffic-condition data is greater than the preset threshold, the contribution reward corresponding to the user information is calculated. Therefore, the technical solution of the present invention is able to solve the conventional technology problem and achieve the technical effect of improving update timeliness of the traffic-condition data and the user's incentive for providing traffic-condition data.
The present invention disclosed herein has been described by means of specific embodiments. However, numerous modifications, variations and enhancements can be made thereto by those skilled in the art without departing from the spirit and scope of the disclosure set firth in the claims.
| Number | Date | Country | Kind |
|---|---|---|---|
| 202110597577.5 | May 2021 | CN | national |
