Wild animal channel monitoring method based on infrared induction and AI identification

By combining infrared sensing and AI recognition technology in wildlife monitoring, accurate monitoring and efficient analysis of wildlife channels are achieved, and problems such as poor monitoring effect, low data transmission efficiency and insufficient model updates are solved in the existing technology, and detailed animal behavior analysis and efficient data transmission are provided.

CN120198742AActive Publication Date: 2025-06-24RES INST OF HIGHWAY MINIST OF TRANSPORT
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Patent Information

Application Number
CN202510676682.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-26
Publication Date
2025-06-24
Estimated Expiration
2045-05-26

AI Technical Summary

Technical Problem

The prior art has problems in wildlife monitoring that the monitoring effect is poor at night or under low light conditions, in-depth analysis of animal behavior, low data transmission efficiency and lack of adaptive update mechanisms when species are not identified.

Method used

Using a monitoring method based on infrared sensing and AI recognition, the infrared sensing module detects heat changes and triggers high-resolution infrared image acquisition, combines the AI ​​target detection model to identify and motion analysis, generate dynamic weight maps and performs time-space fusion to achieve efficient data transmission and adaptive update of the model.

Benefits of technology

It realizes accurate monitoring and efficient analysis of wild animal channels, can clearly capture animal activities at night or under low light conditions, provides detailed motion trajectory and behavioral pattern analysis, and improves data transmission efficiency and model adaptability.

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Abstract

The invention relates to the technical field of intelligent monitoring of wild animals, and provides a wild animal channel monitoring method based on infrared induction and AI identification, which comprises the following steps: triggering high-resolution infrared image acquisition when an infrared induction module detects that the change of heat in a channel exceeds a threshold value; an animal target in the image sequence is identified through an AI target detection model, a motion area is extracted, and a transverse / longitudinal motion vector diagram is generated; motion intensity distribution is calculated based on the vector diagram, and a dynamic weight map is generated in combination with a species activity mode database; and carrying out space-time fusion on the dynamic weight map and the infrared images of the current frame and the historical frame, outputting a monitoring result with species classification and an activity track, and uploading the monitoring result to a data center. According to the invention, precise monitoring, intelligent analysis and real-time early warning of wild animal activities can be realized, and the automation level and data value of wild animal channel monitoring are improved.
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