Dynamic Observation Priority Mapping for Surveillance Sites
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Solution Overview
Problem
Existing methods for presenting locations to be observed in monitored sites do not effectively reflect knowledge gained from the site and fail to provide feedback on observation completeness, leading to equal treatment of thoroughly and insufficiently observed areas.
Innovation Solution
An information processing apparatus with a first setting unit to set observation necessity degrees, a display unit to map these degrees in real space and time, and a receiving unit to update degrees based on user input, allowing for dynamic adjustment of observation focus.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If observation necessity degrees are set based on initial site knowledge, then locations to be observed can be identified, but feedback from actual observation cannot be reflected and observation completeness cannot be confirmed
Solution Approach 1:
The system implements feedback by having the receiving unit collect observation results from watchmen and the resetting unit update observation necessity degrees based on this feedback. This closed-loop mechanism allows the system to learn from actual observation outcomes and dynamically adjust which locations require attention, resolving the issue of inability to reflect site knowledge.
2Productivity
If all locations are presented equally as observation targets, then comprehensive coverage is achieved, but observation efficiency decreases due to lack of prioritization
Solution Approach 1:
The system applies local quality by assigning different observation necessity degrees to different locations based on their specific characteristics and observation history. High-necessity locations receive focused attention while low-necessity locations are monitored less intensively, optimizing the distribution of observation resources across the site.
Solution Approach 2:
The observation necessity degrees are dynamically adjusted through the resetting unit based on feedback from actual observations. Locations that have been thoroughly observed see their necessity degree decrease, while locations requiring more attention see it increase, making the observation priorities adaptive rather than static.
3Reliability
If observation priorities are adjusted dynamically based on feedback, then observation effectiveness improves, but system complexity increases
Solution Approach 1:
The system implements self-service by automatically resetting observation necessity degrees based on received feedback without requiring manual intervention. The resetting unit autonomously processes observation results and updates priorities, reducing the operational burden while maintaining reliable observation coverage.
Data Source
AI summary
An information processing apparatus includes a first setting unit configured to set a plurality of observation necessity degrees of positions in a real space and times, a first display unit configured to display the plurality of observation necessity degrees mapped based on a position in the real space and a time, a second display unit configured to display a plurality of targets detected from a captured image, based on observation necessity degrees each corresponding to a different one of the plurality of targets, and a receiving unit configured to receive an input of information corresponding to at least one target of the plurality of targets. The first setting unit resets at least one observation necessity degree of the plurality of observation necessity degrees based on the input information.