Abstract: The present invention relates to an electrically conductive adhesive composition including: a conductive powder (A) and a curable component (B) which has a content of 20 5 parts by mass or more when an amount of the conductive powder (A) is 100 parts by mass; and a phosphoric acid-containing curable component (C) having a general formula of formula (1) or (2), and having a molecular weight within a range of 150 to 1000, in which the phosphoric acid-containing curable component (C) has a content of 0.01 parts by mass or more and 5 parts by mass or less when a total amount of the conductive powder (A) and the 10 curable component (B) is 100 parts by mass.

Abstract: A conductive paste composition includes a conductive powder (A) and a resin component (B). A silver-based powder containing at least silver is used as the conductive powder (A), at least one of a thermosetting resin and a thermoplastic resin is used as the resin component (B). The conductive paste composition further contains a specific ester-based compound (C) having a molecular weight within a range of 150 to 2000 or a specific ether/amine-based compound (D) having a molecular weight within the range of from 150 to 30,000.

Abstract: A server analyzes feature information including a whole body and a face of a person reflected in a video image sent from a monitoring camera and store a whole body image obtained by cutting out the whole body of the person and a face image obtained by cutting out the face of the person. In response to designation of a person of interest, the server executes first collation processing targeted for the whole body image of the person of interest and second collation processing targeted for the face image of the person of interest. Also, in response to identification of a person matching at least one of the whole body image and the face image of the person of interest by at least one of the first collation processing and the second collation processing, the server outputs a notification that the person of interest is found.

Abstract: When captured videos transmitted from n units of cameras are received, a server analyzes position information and characteristic information on a person appearing in each of captured videos as analysis results. A client terminal displays, on a screen, each of a k number of captured videos that are selected by a user operation. According to a selection of a search target person, the client terminal transmits, to the server, a search request for the search target person in a (k?1) number of captured videos other than the captured video in which the search target person appears. The server extracts the search target person and transmits the analysis result to the client terminal. The client terminal displays cut-out images of one or more persons identical with or similar to the search target person based on the analysis result.

Abstract: A surveillance camera includes an imaging unit configured to output a video frame, and a control unit configured to set a search range in the video frame and to extract a tracking-target image by using a feature quantity of an image in the search range. In a case where an object image other than the tracking target is contained in the search range, the control unit masks a feature quantity of the object image and extracts the tracking-target image.

Abstract: A monitoring camera having artificial intelligence includes an imaging unit, a communication unit that receives a parameter relating to a detection target from a terminal device, and a processing unit that constructs the artificial intelligence based on the parameter, and uses the constructed artificial intelligence to detect the detection target from an image captured by the imaging unit.

Abstract: A conductive paste composition includes a conductive powder (A) and a resin component (B). A silver-based powder containing at least silver is used as the conductive powder (A), at least one of a thermosetting resin and a thermoplastic resin is used as the resin component (B). The conductive paste composition further contains a specific ester-based compound (C) having a molecular weight within a range of 150 to 2000 or a specific ether/amine-based compound (D) having a molecular weight within the range of from 150 to 30,000.

Abstract: A monitoring camera having artificial intelligence includes an imaging unit, a communication unit that receives a parameter relating to a detection target from a terminal device, and a processing unit that constructs the artificial intelligence based on the parameter, and uses the constructed artificial intelligence to detect the detection target from an image captured by the imaging unit.

Abstract: A server analyzes feature information including a whole body and a face of a person reflected in a video image sent from a monitoring camera and store a whole body image obtained by cutting out the whole body of the person and a face image obtained by cutting out the face of the person. In response to designation of a person of interest, the server executes first collation processing targeted for the whole body image of the person of interest and second collation processing targeted for the face image of the person of interest. Also, in response to identification of a person matching at least one of the whole body image and the face image of the person of interest by at least one of the first collation processing and the second collation processing, the server outputs a notification that the person of interest is found.

Abstract: When captured videos transmitted from n units of cameras are received, a server analyzes position information and characteristic information on a person appearing in each of captured videos as analysis results. A client terminal displays, on a screen, each of a k number of captured videos that are selected by a user operation. According to a selection of a search target person, the client terminal transmits, to the server, a search request for the search target person in a (k?1) number of captured videos other than the captured video in which the search target person appears. The server extracts the search target person and transmits the analysis result to the client terminal. The client terminal displays cut-out images of one or more persons identical with or similar to the search target person based on the analysis result.

Abstract: A server analyzes feature information including a whole body and a face of a person reflected in each of video images from a plurality of monitoring cameras and stores a whole body image and a face image as an analysis result. In response to designation of the whole body image and the face image of a person of interest, a client terminal sends a request for execution of each of first collation processing and second collation processing to the server. When a person matching at least one of the whole body image and the face image of the person of interest is specified by at least one of the first collation processing and the second collation processing, the server sends an alarm notification to the client terminal that the person of interest is found to the client terminal.

Abstract: When captured videos transmitted from a n number of cameras are received, a server analyzes position information and characteristic information on a person appearing in each of captured videos as analysis results. A client terminal displays, on a screen, each of the captured videos of a k number of cameras that are selected by a user operation. According to a selection of a search target person, the client terminal transmits, to the server, a search request for the search target person in a (k?1) number of captured videos other than the captured video in which the search target person appears. The server extracts the search target person and transmits the analysis result to the client terminal. The client terminal displays cut-out images of one or more persons identical with or similar to the search target person based on the analysis result.

Abstract: A monitoring camera having artificial intelligence includes an imaging unit, a communication unit that receives a parameter relating to a detection target from a terminal device, and a processing unit that constructs the artificial intelligence based on the parameter, and uses the constructed artificial intelligence to detect the detection target from an image captured by the imaging unit.

Abstract: A security system includes a camera that captures an image of a monitoring area, a recorder that stores the captured image which is captured by the camera, a sensor that detects a matter in the monitoring area, a video monitoring and display device that causes a monitor to display the captured image of the monitoring area from the camera or the recorder, and a BLE reception device that detects a signal from a BLE transmission terminal which is installed or maintained by a guard who patrols the monitoring area. In a case where the matter is detected in the monitoring area, the video monitoring and display device extracts the captured images of the suspect or the guard, chronologically arranges the captured images, and displays the captured images on the monitor.

Abstract: An investigation assist device includes a processor and a storage that records information on a road map including a plurality of intersections and captured videos of a plurality of cameras respectively in correlation with a capturing time, camera information, and intersection information. The processor retrieves a vehicle satisfying a retrieval condition based on a captured video of the camera specified by camera information corresponding to designated intersection information specifying at least one intersection of the plurality of intersections. The processor superimposes a traveling direction of a selected vehicle at the time of passing through an intersection corresponding to the designated intersection information on a position of the intersection on the road map in response to selection of the information on the vehicle.

Abstract: A camera transmits a captured image of a surveillance area to a server. A microphone receives a sound of the surveillance area and transmits the sound to the server. The server detects a warning sound starting based on a harming behavior on a vehicle in a surveillance area and arriving from the vehicle using the sound of the surveillance area, determines an occurrence position of the harming behavior based on the detection of the warning sound, acquires a captured image of the occurrence position, determines the vehicle on which the harming behavior is executed using the captured image of the occurrence position, acquires information regarding the vehicle, and records the information regarding the vehicle and the captured image of the occurrence position in association with each other in an accumulator.

Abstract: An investigation assist device includes a processor and a storage that records information on a road map including a plurality of intersections and captured videos of a plurality of cameras in correlation with a capturing time, camera information, and intersection information. The processor retrieves at least one vehicle satisfying a retrieval condition and extracts a traveling direction of the vehicle when passing through each of the plurality of intersections based on the captured videos of the plurality of cameras in response to a designation of the retrieval condition including information on time when an incident occurs and feature information on a vehicle causing the incident. The processor superimposes a traveling route of the vehicle on the road map based on the traveling direction extracted for each of the intersections and outputs the traveling route to an output unit.

Abstract: A monitoring camera having artificial intelligence includes an imaging unit, a communication unit that receives a parameter relating to a detection target from a terminal device, and a processing unit that constructs the artificial intelligence based on the parameter, and uses the constructed artificial intelligence to detect the detection target from an image captured by the imaging unit.

Abstract: A surveillance camera includes an imaging unit configured to output a video frame, and a control unit configured to set a search range in the video frame and to extract a tracking-target image by using a feature quantity of an image in the search range. In a case where an object image other than the tracking target is contained in the search range, the control unit masks a feature quantity of the object image and extracts the tracking-target image.

Abstract: A server analyzes feature information including a whole body and a face of a person reflected in each of video images from a plurality of monitoring cameras and stores a whole body image and a face image as an analysis result. In response to designation of the whole body image and the face image of a person of interest, a client terminal sends a request for execution of each of first collation processing and second collation processing to the server. When a person matching at least one of the whole body image and the face image of the person of interest is specified by at least one of the first collation processing and the second collation processing, the server sends an alarm notification to the client terminal that the person of interest is found to the client terminal.