Patent Grant
11227061
The present invention relates to an information output device, a camera, an information output system, an information output method, and a program.
The spread of technologies related to IoT (Internet of Things) has led to various solutions being provided which utilize real-world data captured by cameras. As a representative example, security companies remotely monitor image data captured by security cameras and use it for security purposes such as helping crime prevention. Furthermore, a usage method can be considered where an observation camera is installed in a sales area to capture the purchasing behavior of customers, analyze the captured image data, and use it for marketing.
An image captured by a camera displays a face of an individual and the like, and the handling of the image data thereof presents a problem. Furthermore, although personal information (image information by which an individual can be identified) is necessary in a security-purpose system, in a marketing-purpose system it is sufficient if attribute information such as the age group and gender of the customer can be identified, and it is not necessary for an individual to be identified. Consequently, in general, a security-purpose surveillance camera and system, and a marketing-purpose observation camera and system are independently installed. As a result of such a configuration, a system for marketing is such that personal information (image information by which an individual can be identified) captured for security purposes is prevented from being leaked.
As a related technique, in Patent Document 1 is disclosed a system that, with respect to image data captured at a kindergarten and the like, protects the privacy of other kindergarten children in a case where a guardian of a certain kindergarten child wishes to browse that image data by distributing image data in which masking has been performed with respect to the faces of the kindergarten children other than the child of that guardian.
[Patent Document 1] Japanese Unexamined Patent Application, First Publication No. 2009-159221
As mentioned above, if a security camera and system for security and an observation camera and system for marketing are separately installed, there are problems such as high costs and installation space shortages since the required equipment costs, installation costs, operation costs, and installation space are doubled.
An exemplary object of the present invention is to provide an information output device, a camera, an information output system, an information output method, and a program that solve the problems mentioned above.
An information output device according to a first exemplary aspect of the present invention includes: a first output unit that outputs acquired information acquired by a sensor; and a second output unit that converts personal information included in the acquired information into attribute information from which identification of an individual is impossible, and outputs the attribute information.
An information output device according to a second exemplary aspect of the present invention includes: an output unit that outputs at least one of acquired information acquired by a sensor, and attribute information obtained by converting personal information included in the acquired information into information from which identification of an individual is impossible.
A camera according to a third exemplary aspect of the present invention includes any one of the above-mentioned information output devices.
An information output system according to a fourth exemplary aspect of the present invention includes: an information output device including a first output unit and a second output unit, the first output unit encrypting acquired information acquired by a sensor and outputting the encrypted acquired information, the second output unit converting personal information included in the acquired information into attribute information from which identification of an individual is impossible and outputting the attribute information; a first server terminal device that acquires the acquired information output by the first output unit; and a second server terminal device that acquires the attribute information output by the second output unit. The first server terminal device includes a decryption unit that decrypts the acquired information.
An information output system according to a fifth exemplary aspect of the present invention includes: an information output device including an output unit that outputs at least one of acquired information acquired by a sensor, and attribute information obtained by converting personal information included in the acquired information into information from which identification of an individual is impossible; a first server terminal device that acquires the acquired information output by the output unit; and a second server terminal device that acquires the attribute information output by the output unit. The first server terminal device includes a decryption unit that decrypts the acquired information.
An information output method according to a sixth exemplary aspect of the present invention includes: outputting acquired information acquired by a sensor; and converting personal information included in the acquired information into attribute information from which identification of an individual is impossible, and outputting the attribute information.
An information output method according to a seventh exemplary aspect of the present invention includes: outputting at least one of acquired information acquired by a sensor, and attribute information obtained by converting personal information included in the acquired information into information from which identification of an individual is impossible.
A program according to an eighth exemplary aspect of the present invention causes a computer of an information output device to execute: outputting acquired information acquired by a sensor; and converting personal information included in the acquired information into attribute information from which identification of an individual is impossible, and outputting the attribute information.
A program according to a ninth exemplary aspect of the present invention causes a computer of an information output device to execute: outputting at least one of acquired information acquired by a sensor, and attribute information obtained by converting personal information included in the acquired information into information from which identification of an individual is impossible.
According to an exemplary embodiment of the present invention, it is possible to output encrypted information of image data captured by a single camera and information in which personal information is converted into attribute information.
Hereunder, an edge terminal device 1 according to a first exemplary embodiment of the present invention is described with reference to
As shown in
The first output unit 12 outputs acquired information that is acquired by a sensor.
The second output unit 13 converts personal information included in the acquired information that is acquired by the sensor into attribute information by which an individual cannot be identified, and then outputs it. The acquired information that is acquired by the sensor represents, for example, image data captured by a camera, audio collected by a microphone, a fingerprint, a palm print, a vein pattern, and an iris pattern.
As shown in
The first connection unit 18 is connected to a sensor S installed in a space in which a customer is present.
The information acquisition unit 11 acquires from the sensor S, via the first connection unit 18, various sensing data (real-world data) related to the behavior of a customer and the environment surrounding the customer. The sensing data represents image data in which the customer has been captured for example. Hereunder, a case where the sensor S represents a camera, and the acquired information represents image data captured by the camera is described as an example. The image data includes video and still images.
The first output unit 12, for example, performs scrambling processing (encryption) with respect to image data acquired by the information acquisition unit 11, and outputs the data following scrambling processing to another device via the communication unit 14. The another device represents an information processing device such as a server that configures a security system of a security company for example.
The second output unit 13 performs personal information conversion processing, which converts personal information (information by which an individual can be identified) included in the acquired information into attribute information by which an individual cannot be identified. For example, the second output unit 13 may change a face of an individual appearing in the image data acquired by the information acquisition unit 11 into a mosaic, or replace it with an avatar. The second output unit 13 may analyze the image of a customer appearing in the image data using an image recognition technique to estimate the age group, gender, position information, and the like, of that customer. The second output unit 13 may calculate from the image data captured over a predetermined period, a flow line and at-shelf behavior of a customer appearing in that image data, and generate data (such as data converted to text) that represents the behavior of the customer as necessary for marketing. The second output unit 13 outputs the image data, in which personal information conversion processing has been performed, to another device via the communication unit 14. The another device represents, for example, an information processing device such as a server that configures a marketing system, which analyzes marketing information in a data center, and the like. A flow line represents information indicating a movement path of a customer. At-shelf behavior represents behavior relating to the selection of products performed by a customer in front of a product shelf.
The communication unit 14 performs communication with another device.
The output determination unit 15 determines whether or not data obtained by the personal information conversion processing performed by the second output unit 13, is to be output from the second output unit 13.
The storage unit 16 stores a program and various information.
The first output unit 12, the second output unit 13, and the output determination unit 15 are functions provided by a CPU (Central Processing Unit) provided in the edge terminal device 1 by executing a program.
The information output system shown in
As shown in
As shown in
The camera 4, for example, is installed at a position overlooking the store 100, and continuously captures a view of the interior of the store 100. The image data captured by the camera 4 is used with an object of monitoring shoplifting, robberies, and the like. In addition, it is also used to grasp the behavior of customers that shop at the store 100, with an object of utilization in marketing. The camera 4 outputs the captured image data to the edge terminal device 1. The edge terminal device 1 performs scrambling processing for security with respect to the acquired image data. The edge terminal device 1 transmits the image data, in which scrambling processing has been performed, to the server terminal device (external to the edge terminal device 1) 2. Furthermore, the edge terminal device 1 performs personal information conversion processing for marketing with respect to the acquired image data. The edge terminal device 1 transmits the image data in which personal information conversion processing has been performed, to the server terminal device (external to the edge terminal device 1) 3.
In the server terminal device 2, the security system is in operation. For example, a security guard monitors image data received by the server terminal device 2. The image data received by the server terminal device 2 is stored for a predetermined period as evidence in a storage device provided in the data center 200 (or the storage unit 24).
The server terminal device 3 analyzes, as objects, image data received from the edge terminal device 1 and data in which image recognition has been performed and then converted to text. The server terminal device 3 may, based on the analysis result, deduce a top-selling product for each age group and gender. The server terminal device 3 may calculate, based on the analysis result, a location through which many customers pass, from the flow lines of the customers within the store, and perform marketing analysis that generates information that serves as a reference for product arrangement locations. A flow line represents information showing the path moved by a customer.
The security image data is preferably image data that includes personal information (an image by which a face can be recognized for example). This is because it is necessary for the security system to identify the person that carried out the shoplifting, and the like. However, if image data that includes personal information is transmitted as is from the edge terminal device 1 of the store 100 to the server terminal device 2 of the data center 200 via the network NW, for example, it is possible for that personal information to be leaked by means of a packet being captured during network transmission. Consequently, in the edge terminal device 1, the first output unit 12 performs scrambling processing (encryption) with respect to the image data to be transmitted, by means of a predetermined method. The communication unit 14 transmits the image data following scrambling processing to the server terminal device 2. As a result, it is possible to prevent personal information from being leaked during network transmission. The server terminal device 2 performs descrambling processing with respect to the received image data, to return it to the original image prior to scrambling processing. A decryption key that decrypts the image data in which scrambling processing was performed by the first output unit 12, is held only by the server terminal device 2. Consequently, only the server terminal device 2 is able to decrypt the acquired image data, and restore the original image data that includes personal information. On the other hand, even if a third party obtains the image data transmitted by the first output unit 12, it is not possible to restore it to the original image data that includes personal information. Therefore, it is possible to prevent personal information from being leaked. The server terminal device 2 may enable monitoring by a security guard by utilizing the decrypted image data. The server terminal device 2 may also compare against image data of a person that has caused some problem behavior in the past who is registered in a so-called blacklist, and check if the person registered in the blacklist appears in the decrypted security image data.
Next, it is not necessary for the marketing data (or ag data) to include data by which an individual can be identified. This is because in the marketing system it is sufficient if attribute information, such as the age group and gender of the customer, can be acquired. Furthermore, the transmission and reception of image data that includes personal information as is via the network NW, and storage in the server terminal device 3, and the like, is a problem from the perspective of personal information being leaked. Therefore, the second output unit 13 extracts, with respect to the image data captured by the camera 4, attribute information of a customer appearing in the image, which is configured by the image data, and transmits the extracted attribute information and the image data, which has been converted such that personal information cannot be recognized, to the server terminal device 3 of the data center 300. The processing that performs conversion such that personal information cannot be recognized is performed by the second output unit 13. The second output unit 13 may perform image processing that recognizes the face of a customer by means of image recognition, and then changes the area of the face into a mosaic for example. In this case, the second output unit 13 records the attribute information, such as the age group and gender of that customer, in the storage unit 16 such that it is associated with the identifying information of the same customer. The second output unit 13 may replace the face image of the customer with an avatar image. In this case, the avatar image that is substituted represents an avatar image that is associated with the attribute information such as the age group and the gender of that customer. The second output unit 13 may record the attribute information of the customer in the storage unit 16 such that it is associated with the identifying information of the avata image. The second output unit 13 transmits to the server terminal device 3, together with the image data in which the conversion of personal information has been performed, data in which the attribute information of the customer has been associated with the customer or an avatar image. If the image data is such that the conversion of personal information has been performed, then there is no concern for leakage of personal information to occur even if it is stolen and accessed at the time of transmission and reception via the network NW. Furthermore, even if the image data, in which conversion of personal information has been performed, is stored on the server terminal device 3 for marketing analysis, there is no need for concern regarding the handling of personal information.
Since, the server terminal device 3 acquires image data which has been converted such that personal information cannot be recognized, and attribute information of the customer, it can perform marketing analysis. For example, the server terminal device 3 may acquire image data following personal information conversion processing and the attribute information of the customer, and perform analysis of flow lines showing the movement path of the customer in the store, and of the at-shelf behavior, such as which products were picked up and then actually purchased or returned to the shelf. In the present specification, the attribute information not only represents the age group and gender of the customer, but also includes flow lines, the at-shelf behavior, the position information of the customer, and the like. That is to say, the second output unit 13 is provided with a function of performing marketing analysis, and it may perform, by means of that function, analysis of flow lines and at-shelf behavior and generate information including the age group, gender, flow lines, and at-shelf behavior of the customer as text data. Further, the second output unit 13 may transmit the text data to the server terminal device 3.
Next, output processing by the edge terminal device 1 is described.
The processing by which the edge terminal device 1 converts and outputs image data is described with reference to
Firstly, in the edge terminal device 1, the information acquisition unit 11 acquires from the camera 4, image data captured by the camera 4 (step S11). The information acquisition unit 11 outputs the acquired image data to the first output unit 12. Then, the first output unit 12, for example, acquires an encryption key recorded beforehand in the storage unit 16 (step S12). Next, the first output unit 12 uses the encryption key to perform scrambling processing with respect to the image data acquired from the information acquisition unit 11 (step S13). The encryption key is, for example, a public key or a common key provided by the security system-side. The scrambling processing may be performed using a well-known image encryption method. Then, the first output unit 12 transmits the security image data following scrambling processing, to the server terminal device 2 via the communication unit 14 (step S14).
The edge terminal device 1 performs the following processing concurrently with the processing of step S12 to step S14. Firstly, the output determination unit 15 determines whether or not to perform output of marketing image data from the second output unit 13 (step S15). For example, if the current time is not within the business hours of the store 100, then there are no customers within the store 100 and purchasing behavior is not generated. Consequently, the utility value as image data for marketing is low. Therefore, in a time period where there are no customers, output of marketing image data is not necessarily performed. In this case, for example, the business hours of the store 100 are recorded beforehand in the storage unit 16. The output determination unit 15 reads out information regarding the business hours from the storage unit 16, and determines whether or not the current time is included in the business hours. If the current time is included in the business hours, the output determination unit 15 determines that output of marketing image data is to be performed. Even if the current time is within business hours, output of marketing image data may be not performed if there are no customers. In this case, a face image of the store clerk is recorded beforehand in the storage unit 16. The output determination unit 15 acquires image data from the image acquisition unit 11, and confirms whether a person other than the store clerk appears in the acquired image data by means of image recognition. If a person other than the store clerk appears in the image data, the output determination unit 15 may determine that output of marketing image data is to be performed.
If the output determination unit 15 determines that output of marketing image data is to be performed (step S15: Yes), the information acquisition unit 11 outputs the acquired image data to the second output unit 13.
The second output unit 13 performs personal information conversion processing with respect to the acquired image data (step S16). The second output unit 13 recognizes from the acquired image data, the people appearing in the picture, and estimates the age group and the gender of each person based on the face image of each person using a well-known face recognition technique or the like.
For example, the second output unit 13, recognizes the color of the clothing worn by that person or the like by a well-known color recognition technique, and may, using this as a symbol to identify that person, store attribute information, such as the estimated gender, and the person, in the storage unit 16 such that they are associated. The information in which the attribute information and the person are associated represents, for example, information in which a person, such as “a customer wearing red clothing”, is associated with attribute information, such as “gender: female” and “age group: twenties”.
Alternatively, the second output unit 13 may perform the following processing. That is to say, the second output unit 13 reads out an avatar image stored beforehand that corresponds to the estimated age group and gender from the storage unit 16. The second output unit 13 recognizes the face image of the person by means of a facial recognition technique. The second output unit 13 replaces the face image of the person with an avatar image that is similar to the contours of the face of that person.
As another alternative method, the second output unit 13 may perform the following processing in a case where it has a marketing analysis function. That is to say, the second output unit 13 acquires image data captured over a predetermined period. The second output unit 13 uses the clothing or the like worn by each person as a symbol to calculate position information of the person in each picture by, for example, a well-known technique such as a characteristic point extraction and object tracking technique. Further, the second output unit 13 may calculate a flow line for each person based on time series position information. The second output unit 13 may detect arm movements and face direction changes from a plurality of time series image data, and analyze the at-shelf behavior of the person by a movement in which the person extends a hand to the product shelf, by the direction in which the line-of-sight is directed, and the like. The second output unit 13 may generate data, in addition to the age group and the gender, in which information such as the flow line, and the at-shelf behavior, are converted to text. The data converted to text represents, for example, information such as “customer 001, male, twenties, moved between shelf A and shelf B, picked up product C and purchased it”. The second output unit 13 outputs image data, which has been converted such that personal information cannot be recognized by the second output unit 13, or data converted to text. The second output unit 13 transmits marketing image data (including attribute information and data converted to text) to the server terminal device 3 (step S17).
If the output determination unit 15 determines that output of marketing image data is to not be performed (step S15: No), the processing proceeds to step S18.
Then, for example, if the camera 4 ends imaging in accordance with an imaging stopping operation by an administrator and the like (step S18: Yes), the current process flow ends. If the camera 4 is in a period in which imaging is continued (step S18: No), the processing from step S11 is repeated.
A case where, in step S13, an encryption key is recorded beforehand in the storage unit 16 was described as an example. However, the first exemplary embodiment is in no way limited to such a configuration. As an example, a case where the server terminal device 2 includes an encryption key generation unit 25 (refer to
The output determination unit 15 may determine by means of image recognition whether or not a person is included in the image data, and the first output unit 12 be made to perform scrambling processing only in a case where a person is included in the image data. The first output unit 12 may recognize the face of a person by means of image recognition, and perform scrambling processing with respect to only the face of the person.
The processing up until the security system operated by the server terminal device 2 utilizes the image data acquired from the edge terminal device 1, is described with reference to
Firstly, in the server terminal device 2, the communication unit 21 acquires security image data via a network (step S21). The communication unit 21 outputs the acquired security image data to the decryption unit 22. Then, the decryption unit 22, for example, uses a private key corresponding to the public key used in the scrambling processing by the first output unit 12, to perform descrambling processing that decrypts the acquired security image data (step S22). The decryption unit 22 records the image data, including the decrypted personal information, in the storage unit 24. Next, the application execution unit 23 executes an application program of the security system, and utilizes the image data following descrambling (step S23). A specific example relating to the utilization of image data is described. For example, the application execution unit 23 may compare by means of a facial recognition technique, the image data of the person appearing in the image, which is configured by image data, against image data of a person registered in a blacklist and the like, to determine whether or not a person viewed as dangerous is present in the store 100. As another example, in a case where a security guard performs real-time surveillance and discovers that a robbery, shoplifting, and the like, has occurred in the store 100, the image data may be used to identify a person involved in the incident.
The processing up until the marketing system operated by the server terminal device 3 utilizes the image data acquired from the edge terminal device 1, is described with reference to
Firstly, in the server terminal device 3, the communication unit 31 acquires marketing image data via the network NW (step S31). The communication unit 31 records the acquired marketing image data in the storage unit 34. Then, the application execution unit 33 executes an application program of the marketing system and utilizes the image data in which the personal information has been converted to attribute information, and the attribute information (step S32). A specific example of utilization of image data and attribute information is described. For example, the application executing unit 33 may generate information that is useful for promoting sales by predicting product demand from the attribute information (age group, gender, flow line, at-shelf behavior) of the customer appearing in the image data, and analyzing purchasing trends according to the age group, the gender, the region, the season, and the like.
According to the first exemplary embodiment, it is possible to output data in which personal information for security is included, and data in which attribute information of a customer for marketing is included, without separately installing a security camera and system for security, and an observation camera and system for marketing.
Hereunder, an information output system according to a second exemplary embodiment of the present invention is described with reference to
As shown in
In a case where the external terminal unit 5 is not connected, the first output unit 12 does not operate, and output of image data is unable to be performed. In the server terminal device 2, a decryption key corresponding to the encryption key, which is recorded in the external terminal unit 5, is recorded in the storage unit 24. The decryption unit 22 performs descrambling processing with respect to the image data using the decryption key.
In this manner, a portion of the scrambling processing function of the first output unit 12 delegated to the external terminal unit 5. Further, the provider of the external terminal unit 5 is the administrator of the security system. Consequently, the administrator of the security system is able to conceal information related to the encryption of the image data. As a result, security is more easily assured.
Furthermore, it is not necessary for the edge terminal device 1 to implement a scrambling processing function. Therefore, development costs can be inhibited.
Hereunder, an information output system of a third exemplary embodiment of the present invention is described with reference to
As shown in
In this manner, in the third exemplary embodiment, the encryption key is modularized and recorded in a detachable medium (key card). As a result of using key cards 7 and 9 in which a digital certificate issued by an official authentication organization is stored, the reliability of the encryption system is assured, and it is possible to reduce the risk of personal information being leaked.
The first to third exemplary embodiments were described using an example of a case where the acquired information that is acquired by the information acquisition unit 11 is image data. The fourth exemplary embodiment is an exemplary embodiment in which the acquired information is not image data.
[When Acquired Information is Audio]
In a case where the acquired information is audio, the sensor S connected to the edge terminal device 1 represents, for example, a microphone provided with a sound collection function. The first output unit 12 encrypts the audio data that is acquired by the microphone, and then outputs it. The second output unit 13 estimates the age group and gender of the speaker from the acquired audio data, associates the estimated information with that audio data, and records it in the storage unit 16. The second output unit 13 performs, as personal information conversion processing, processing such as band compression or noise addition with respect to the acquired audio data, such that an individual cannot be identified by voiceprint analysis. Then, the second output unit 13 outputs the audio data after personal information conversion processing has been performed. The second output unit 13 may output attribute information together with the audio data after the personal information conversion processing has been performed. The second output unit 13 may, in addition to the age group of the speaker, convert the spoken content to text data by means of a voice recognition technique, and then output the text data, and the like.
In a case where the acquired information is audio, information such as the gender, the age group, and the spoken content represent attribute information.
In the server terminal device 2, the decryption unit 22 decrypts the encrypted audio. An application program of the security system that is executed by the application execution unit 23 may use the audio data following decryption to perform surveillance. The application execution unit 23 may record the audio data following decryption in the storage unit 24 as evidence.
In the server terminal device 3, an application program of the marketing system executed by the application execution unit 33 may use the attribute information and the audio data following conversion, or the text data from voice recognition, acquired via the communication unit 31, to analyze the needs of a customer that has visited the store 100, and the like. For example, as a result of the store clerks wearing a microphone, and performing analysis of a conversation between a store clerk and a customer, it is possible to analyze the types of products the customer is searching for, or a complaint from the customer, and to use this to create better stores.
[When Acquired Information is Fingerprint, Palm Print, Vein Pattern, Iris Pattern, and the Like]
In a case where the acquired information is fingerprint data, the sensor S represents a fingerprint sensor. Currently, the use of biometric authentication by means of fingerprint data, and the like, is progressing. A specific example of a case where a fingerprint sensor is installed in a store 100 is described below.
In the store 100, a special customer system which provides a variety of benefits is introduced. As a condition of a certain customer becoming a special customer of the store 100, fingerprint data of that customer, and personal information of that customer are recorded beforehand in the storage unit 16 of the edge terminal device 1 such that they are associated. When that customer performs authentication by bringing a finger into contact with a fingerprint sensor at an entrance or at a register, points are added each time that customer comes to the store for example. If fingerprint authentication is performed at a register, points corresponding to the purchase amount are applied. In this case, the first output unit 12 encrypts the fingerprint data acquired from the fingerprint sensor connected to the edge terminal device 1, and then outputs it. From the acquired fingerprint data, the second output unit 13 acquires information such as the age group and gender of the customer from the personal information of the customer, which is stored in the storage unit 16 of the edge terminal device 1 in association with the fingerprint data. In the case where the storage unit 16 records for each customer, information such as whether that customer is a good customer, and the number of store visits, such that it is associated with the fingerprint data, the second output unit 13 may read out these pieces of information. Such information, that is to say, information such as the gender, the age group, whether or not the customer is a good customer, and the number of store visits, represents attribute information. The second output unit 13 outputs the attribute information corresponding to the fingerprint data acquired from the information acquisition unit 11.
In the server terminal device 2, the decryption unit 22 decrypts the encrypted fingerprint data. An application program of the security system executed by the application execution unit 23 records the fingerprint data following decryption in the storage unit 24, for example, such that it is associated with the position information of the store 100 and the time in which the fingerprint data was acquired. Consequently, it becomes evidence that the customer was present in the store 100 at that time.
In the server terminal device 3, an application program of the marketing system executed by the application execution unit 33 uses the attribute information acquired via the communication unit 31 to perform analysis of the purchasing behavior of the special customers visiting the store 100, and the like. For example, if the store 100 is a chain store, it is possible to know the purchasing behavior of the special customers across a plurality of stores. A case where the acquired information represents a palm print, a vein pattern, or an iris pattern, is the same as the case of fingerprint data.
A fifth exemplary embodiment is an exemplary embodiment of a case where there is only one output unit. Hereunder, an edge terminal device 1 according to the fifth exemplary embodiment of the present invention is described with reference to
As shown in
The output unit 17 outputs, at least one of first output information, which outputs acquired information that is acquired by a sensor, and second output information, in which personal information included in the acquired information that is acquired by the sensor is converted into attribute information by which an individual cannot be identified.
An example of a specific configuration of the edge terminal device 1 in the fifth exemplary embodiment is described. The edge terminal device 1 in the fifth exemplary embodiment, in addition to the output unit 17, includes, an information acquisition unit 11, a communication unit 14, an output determination unit 15, and a storage unit 16. The configuration of these is the same as the configuration described with reference to
A process flow of the fifth exemplary embodiment is described with reference to
The output determination unit 15 determines whether or not to output marketing image data (step S15), and outputs the result thereof to the output unit 17. The output determination unit 15 may determine, by means of image recognition, whether or not a person is included in the image data, and it may determine that marketing image data is to be output only in a case where a person is included in the image data. If the output determination unit 15 determines that marketing image data is to be output, the output unit 17 performs personal information conversion processing with respect to the image data acquired from the information acquisition unit 11 (step S16), and generates marketing image data (including attribute information and data converted to text). Then, the output unit 17 selects the communication interface of the communication unit 14 that is connected to the server terminal device 3, and transmits the generated marketing image data (second output information) to the server terminal device 3 via that communication interface (step S17). The other processing steps are the same as in the first exemplary embodiment.
The output determination unit 15 may determine, by means of image recognition, whether or not a person is included in the image data, and it may transmit security image data to the server terminal device 2 only in a case where a person is included in the image data.
Hereunder, a camera 5 according to a sixth exemplary embodiment of the present invention is described with reference to
As shown in
The edge terminal device 1 mentioned above has a computer in its interior. Further, the processing steps of the edge terminal device 1 mentioned above are recorded in a computer-readable recording medium in the form of a program, and the processing described above is performed by means of the computer reading the program and then executing it. Here, the computer-readable recording medium refers to a magnetic disk, a magnetic optical disk, a CD-ROM, a DVD-ROM, a semiconductor memory, and the like. Furthermore, the computer program may be distributed to a computer by means of a communication line, and the computer receiving the distribution may execute that program.
The program described above may represent a program for realizing a portion of the functions mentioned above.
The program described above may be one that realizes the functions mentioned above by being combined with a program already stored in the computer system, as a so-called difference file (difference program).
In addition, the configuration elements in the exemplary embodiments described above may be appropriately substituted with well-known configuration elements without departing from a scope of the present invention. For example, the video data may be also audio data or image data, such as a still image. Furthermore, the technical scope of the present invention is in no way limited to the exemplary embodiments described above, and various changes may be applied without departing from the scope of the present invention. The edge terminal device 1 is an example of an information output device. The server terminal device 2 is an example of a first server terminal device. The server terminal device 3 is an example of a second server terminal device. The external terminal unit 5 is an example of an external connection device.
This application is based upon and claims the benefit of priority from Japanese patent application No. 2015-005538, filed Jan. 15, 2015, the disclosure of which is incorporated herein in its entirety by reference.
The present invention may be applied to an information output device, a camera, an information output system, an information output method, and a program.
| Number | Date | Country | Kind |
|---|---|---|---|
| 2015-005538 | Jan 2015 | JP | national |
This application is a continuation of U.S. patent application Ser. No. 15/541,179, filed Jun. 30, 2017, which is a National Stage Entry of International Application No. PCT/JP2016/051147, filed Jan. 15, 2016, which claims priority from Japanese Patent Application No. 2015-005538, filed Jan. 15, 2015. The entire contents of the above-referenced applications are expressly incorporated herein by reference.
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| Number | Date | Country | |
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| Child | 16434038 | US | |
| Parent | PCT/JP2016/051147 | Jan 2016 | US |
| Child | 15541179 | US |
