Autonomous Mobile Object Emergency Image Capture System
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Solution Overview
Problem
Existing surveillance systems using mobile objects are inadequate for capturing images in real-time when a crime or suspicious activity is reported, as they cannot preponderantly capture images around the site of the event.
Innovation Solution
An information collection system comprising autonomous mobile objects equipped with imaging units and a server apparatus that sends operation commands to capture images of targets based on emergency reports, allowing the mobile objects to move autonomously and share information for accurate pursuit and image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a surveillance system uses mobile objects to collect images, then the area coverage is improved, but the system cannot capture images preponderantly around the site of a reported event in real-time
Solution Approach 1:
The server apparatus pre-calculates and stores optimal pursuit routes from potential mobile object locations to various target locations before emergencies occur. When an emergency report is received, the system immediately dispatches the nearest mobile object along the pre-calculated route, eliminating route planning delays and enabling rapid response while maintaining broad area coverage through the distributed mobile object fleet
Solution Approach 2:
The server apparatus acts as an intermediary that receives emergency reports, identifies the nearest mobile object, selects optimal pursuit routes, and dispatches commands to mobile objects. This intermediary coordination enables the system to rapidly respond to emergencies by intelligently routing mobile objects to event locations without requiring direct human intervention or sacrificing the broad surveillance coverage provided by multiple distributed mobile objects
2Loss of information
If the system extracts images after an event occurs, then image collection is possible, but initial actions cannot be taken promptly
Solution Approach 1:
Mobile objects continuously capture and transmit images along their movement paths and in their surrounding areas before emergencies occur. When an emergency report is received, the system immediately identifies and retrieves relevant images that were captured in advance by nearby mobile objects, enabling prompt initial response actions without waiting for post-event image collection
Solution Approach 2:
Mobile objects continuously perform image capture and transmission operations as part of their normal surveillance function, rather than activating image collection only after emergencies occur. This continuous useful action ensures that images are already available when emergencies happen, enabling immediate response while maintaining comprehensive surveillance coverage through the ongoing operations of distributed mobile objects
Data Source
AI summary
An autonomous mobile object includes an imaging unit, a positional information sender to acquire and send positional information to a server, and an operation controller to cause the autonomous mobile object to move autonomously based on an operation command. The server includes storage to receive and store the positional information from the autonomous mobile object, a commander to send the operation command to the autonomous mobile object, and a receiver to receive information relating to an emergency report including a target location. When the receiver receives the information relating to the emergency report, the commander sends an emergency operation command to the autonomous mobile object located in a specific area including the target location. The emergency operation command causes the autonomous mobile object to capture an image of a person or a vehicle moving away from the target location, and the autonomous mobile object sends the image to the server.