Geographic Video Search Automation
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Solution Overview
Problem
Manual location and tracking of objects-of-interest in video surveillance systems is inefficient due to the large volume of concurrently recorded video from multiple cameras.
Innovation Solution
A method and system that allow a mobile device to send a search request with geographic location and time range to a camera system, which identifies relevant cameras and transmits search results, including images from those cameras, for automated object identification and location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual location and tracking is used to identify objects-of-interest in video surveillance, then the system can locate objects, but the process becomes inefficient due to large volume of concurrently recorded video from multiple cameras
Solution Approach 1:
The patent introduces geographic location data as an intermediary parameter to bridge the mobile device and video camera system. The search request includes geographic coordinates, and the system uses this intermediate geographic information to automatically identify which cameras are relevant to the search location, eliminating manual camera selection and significantly improving search efficiency
Solution Approach 2:
The patent replaces the manual mechanical process of locating and selecting cameras with an automated geographic-based selection system. Instead of manually browsing through multiple camera feeds, the system automatically substitutes manual selection with algorithmic camera identification based on geographic coordinates, reducing time loss and improving productivity
2Productivity
If automated search functionality is implemented to improve efficiency, then object identification becomes faster, but the system complexity increases
Solution Approach 1:
The patent implements a universal camera system that can handle multiple functions: traditional video monitoring and automated geographic-based search. The same video camera infrastructure serves both manual surveillance and automated search operations, allowing the system to improve productivity without requiring separate dedicated hardware for each function, thus limiting the increase in device complexity
Solution Approach 2:
The patent changes the search parameter from manual camera selection to automated geographic coordinate-based camera identification. This parameter change enables automated search functionality that improves efficiency while utilizing existing system components, avoiding the need for completely new complex infrastructure
Data Source
AI summary
A method is provided, comprising: receiving at a camera system comprising a plurality of video cameras, a search request from a mobile device, the search request comprising a geographic location of the mobile device and a time range; identifying one or more video cameras of the plurality of video cameras having a field of view including the geographic location; and transmitting search results from the one or more video cameras of the plurality of video cameras to the mobile device, the search results comprising at least an image from a video recorded by the one or more video cameras of the plurality of video cameras during the time range.