Abstract: A crime prediction server accesses an SNS server, collects submission information, which includes crime-related terms, as crime-related information from the submission information of general citizens, calculates statistical data for each attribute, which includes an occurrence place, a crime occurrence hour, a crime type of a crime, for the crime-related information, and sends crime data and map data, which are extracted from the statistical data of the crime-related information, in response to a request from a center device. The center device superimposes the crime data on the map data for each attribute on a display, and plots and displays the crime data in a position corresponding to the crime occurrence place on a map.

Abstract: A crime prediction server accesses an SNS server, collects submission information, which includes crime-related terms, as crime-related information from the submission information of general citizens, calculates statistical data for each attribute, which includes an occurrence place, a crime occurrence hour, a crime type of a crime, for the crime-related information, and sends crime data and map data, which are extracted from the statistical data of the crime-related information, in response to a request from a center device. The center device superimposes the crime data on the map data for each attribute on a display, and plots and displays the crime data in a position corresponding to the crime occurrence place on a map.

Abstract: A crime prediction server accesses an SNS server, collects submission information, which includes crime-related terms, as crime-related information from the submission information of general citizens, calculates statistical data for each attribute, which includes an occurrence place, a crime occurrence hour, a crime type of a crime, for the crime-related information, and sends crime data and map data, which are extracted from the statistical data of the crime-related information, in response to a request from a center device. The center device superimposes the crime data on the map data for each attribute on a display, and plots and displays the crime data in a position corresponding to the crime occurrence place on a map.

Abstract: Provided is a wearable camera including a capture that captures a subject; a recorder that records a video of the captured subject; a storage that stores a predetermined sound beforehand; a microphone that collects sounds; and a controller that starts record of the video of the subject captured by the capture in a case where the sounds collected by the microphone and the sound stored in the storage are collated with each other, and the collected sounds and the stored sound match with each other.

Abstract: A log generator generates log data including a processing time and processing contents, as data indicating a history of each of processes including input of video data recorded in a storage of a case video management system by a video input unit, image processing including a masking process to be performed on the video data by an image processor, and output of the video data by an encoder and a video output unit, at the time of performing processing for the video data, and records the log data in the case video management system in association with the processed video data.

Abstract: A content management server extracts an incident video and incident information corresponding to prescribed key information related to the incident information, and sends the extracted information to a center device. A center device superimposes video attribute information related to an incident video on map information based on positional information of an imaging place of the incident video included in the incident information in the incident video display screen, displays the video attribute information in the imaging place on the map of the map information, and reproduces and displays the incident video corresponding to the video attribute information in a case where a video reproduction instruction is given by a user.

Abstract: Provided is a wearable camera including a capture that captures a subject; a recorder that records a video of the captured subject; a storage that stores a predetermined sound beforehand; a microphone that collects sounds; and a controller that starts record of the video of the subject captured by the capture in a case where the sounds collected by the microphone and the sound stored in the storage are collated with each other, and the collected sounds and the stored sound match with each other.

Abstract: Provided is a wearable camera including a capture that captures a subject; a recorder that records a video of the captured subject; a storage that stores a predetermined sound beforehand; a microphone that collects sounds; and a controller that starts record of the video of the subject captured by the capture in a case where the sounds collected by the microphone and the sound stored in the storage are collated with each other, and the collected sounds and the stored sound match with each other.

Abstract: A content management server extracts an incident video and incident information corresponding to prescribed key information related to the incident information, and sends the extracted information to a center device. A center device superimposes video attribute information related to an incident video on map information based on positional information of an imaging place of the incident video included in the incident information in the incident video display screen, displays the video attribute information in the imaging place on the map of the map information, and reproduces and displays the incident video corresponding to the video attribute information in a case where a video reproduction instruction is given by a user.

Abstract: A log generator generates log data including a processing time and processing contents, as data indicating a history of each of processes including input of video data recorded in a storage of a case video management system by a video input unit, image processing including a masking process to be performed on the video data by an image processor, and output of the video data by an encoder and a video output unit, at the time of performing processing for the video data, and records the log data in the case video management system in association with the processed video data.

Abstract: A content management server extracts an incident video and incident information corresponding to prescribed key information related to the incident information, and sends the extracted information to a center device. A center device superimposes video attribute information related to an incident video on map information based on positional information of an imaging place of the incident video included in the incident information in the incident video display screen, displays the video attribute information in the imaging place on the map of the map information, and reproduces and displays the incident video corresponding to the video attribute information in a case where a video reproduction instruction is given by a user.

Abstract: A log generator generates log data including a processing time and processing contents, as data indicating a history of each of processes including input of video data recorded in a storage of a case video management system by a video input unit, image processing including a masking process to be performed on the video data by an image processor, and output of the video data by an encoder and a video output unit, at the time of performing processing for the video data, and records the log data in the case video management system in association with the processed video data.

Abstract: A video input unit inputs case video data to be processed, a face detector detects a face region of a person included in an image of video data, a target manager registers the face region as a region to be masked, an operation input inputs a user's instruction regarding the face region, a target manager excludes a region designated by the user's instruction from targets to be masked and registers the region as a region not to be masked, an image processor performs a masking process on the region to be masked, and a video output unit outputs video data having been subjected to image processing including the masking process.

Abstract: A crime prediction server accesses an SNS server, collects submission information, which includes crime-related terms, as crime-related information from the submission information of general citizens, calculates statistical data for each attribute, which includes an occurrence place, a crime occurrence hour, a crime type of a crime, for the crime-related information, and sends crime data and map data, which are extracted from the statistical data of the crime-related information, in response to a request from a center device. The center device superimposes the crime data on the map data for each attribute on a display, and plots and displays the crime data in a position corresponding to the crime occurrence place on a map.

Abstract: A content management server extracts an incident video and incident information corresponding to prescribed key information related to the incident information, and sends the extracted information to a center device. A center device superimposes video attribute information related to an incident video on map information based on positional information of an imaging place of the incident video included in the incident information in the incident video display screen, displays the video attribute information in the imaging place on the map of the map information, and reproduces and displays the incident video corresponding to the video attribute information in a case where a video reproduction instruction is given by a user.

Abstract: A police disposition server narrows down site terminals, which are positioned in the vicinity of a target place of an incident occurrence location, acquires terminal information, which includes positional information of the site terminal and police officer information bound to the site terminal, for the narrowed-down site terminals, and sends positional information of the police officer who is near to the incident occurrence location to a center device. The center device superimposes the positional information of the police officer on map information in the display, displays the target place and a position of the police officer on a map of the map information, sends direct rush request check to the site terminal of the police officer, and displays an acceptance message in a case where the acceptance message is received from the site terminal.

Abstract: Provided is a wearable camera including a capture that captures a subject; a recorder that records a video of the captured subject; a storage that stores a predetermined sound beforehand; a microphone that collects sounds; and a controller that starts record of the video of the subject captured by the capture in a case where the sounds collected by the microphone and the sound stored in the storage are collated with each other, and the collected sounds and the stored sound match with each other.

Abstract: A detector in MCU generates audio data by cutting out a section of the sounds collected by a microphone. A communicator transmits the generated audio data to a back end server. The back end server receives the audio data from a wearable camera. CPU collates the received audio data with audio data registered in an audio database. The communicator notifies the wearable camera of automatic start of the recording in a case where the received audio data and the registered audio data are matched with each other, as a result of collation. In a case of being notified of the instruction to start the recording from the server, the wearable camera starts the recording of a video captured by a capture.

Abstract: A detector in MCU generates audio data by cutting out a section of the sounds collected by a microphone. A communicator transmits the generated audio data to a back end server. The back end server receives the audio data from a wearable camera. CPU collates the received audio data with audio data registered in an audio database. The communicator notifies the wearable camera of automatic start of the recording in a case where the received audio data and the registered audio data are matched with each other, as a result of collation. In a case of being notified of the instruction to start the recording from the server, the wearable camera starts the recording of a video captured by a capture.

Abstract: An on-vehicle camera system captures a subject, detects a face of a person included in a captured image of the captured subject, and transmits information on the detected face to the server. The server receives the information on the face, collates information on a face of a person involved in an incident which is registered in advance with the received information on the face, and notifies the wearable camera of the information on the person involved in the incident in a case where the received information on the face is matched with the information on the face of the person involved in the registered incident from the result of the collation.