WiFi Detector Intersection for Target Track Determination
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Solution Overview
Problem
Existing methods for tracing a target person based on videos are time-consuming and laborious due to the need to analyze large numbers of videos to determine track information, which is inefficient and complex.
Innovation Solution
A system comprising a processing server and image acquisition devices with WiFi detectors that parse unique identification information from WiFi signals, allowing for the determination of track information by analyzing only a small number of designated videos, eliminating the need to analyze all videos.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all videos containing the target person are analyzed to obtain track information, then the completeness of track information is improved, but the analysis time and complexity increase significantly
Solution Approach 1:
The patent extracts and utilizes WiFi identification information from videos as a key feature to identify and track the target person. By focusing on this specific extracted feature rather than analyzing all video content, the system achieves efficient track information acquisition with reduced analysis time while maintaining reliability through the unique identification capability of WiFi signals.
2Measurement precision
If all videos containing the target person are analyzed to obtain track information, then the accuracy of track tracing is improved, but the operational complexity increases
Solution Approach 1:
The patent introduces WiFi detection technology as an intermediary mechanism to facilitate target person tracking. The WiFi detector extracts identification information from videos, serving as a mediator that bridges video analysis and track tracing. This intermediary approach maintains high tracking accuracy while significantly simplifying the overall analysis process by automating the identification and matching procedures.
3Productivity
If a small number of designated videos are analyzed instead of all videos, then the analysis time is reduced, but the completeness of track information may be compromised
Solution Approach 1:
The patent replaces manual video analysis with automated WiFi-based identification and matching systems. The automated detection and matching algorithms process designated videos efficiently, extracting WiFi identification information and matching it with the target person's track. This mechanical substitution maintains tracking completeness while dramatically improving productivity through automation.
4Adaptability or versatility
If manual analysis of videos is performed to identify target persons, then the flexibility in handling various scenarios is maintained, but the labor intensity and time consumption increase
Solution Approach 1:
The patent implements self-service through automated WiFi detection and identification systems. The system automatically detects WiFi signals in videos, extracts identification information, matches it with target persons, and generates track information without requiring manual intervention. This self-service approach maintains adaptability to various scenarios while eliminating labor-intensive manual analysis operations.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient determination of track information for a target person by identifying unique identification information and locating image acquisition devices, significantly reducing the analysis burden and time required.
Implementation Method 1
Each image acquisition device contains a WiFi detector... the WiFi detectors respectively output the correspondence relationship between the unique identification information and the detection moment of the unique identification information
Data Source
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AI summary
Embodiments of the present application disclose a method, a system and a processing server for determining track information of a target person. The method comprises: obtaining a plurality of designated videos; determining a plurality of first image acquisition devices shot the designated videos; according to a preset intersection mode and for the first image acquisition devices: obtaining sets of unique identification information detected by WiFi detectors of the first image acquisition devices during a detection time interval respectively, and performing an intersection processing on the obtained sets of unique identification information to obtain an intersection set of unique identification information; determining the unique identification information of the WiFi terminal in the intersection set of unique identification information as unique identification information of the target person; obtaining image acquisition devices in which all WiFi detectors detected the unique identification information of the target person are located; determining track information of the target person based on locations of the image acquisition devices in which all the WiFi detectors are detected. In the embodiments of the present application, it does not need to analyze a large number of videos.