AI Camera Network Cooperation via Dynamic Model Generation
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Solution Overview
Problem
Existing AI video monitoring systems lack cooperation between cameras, making it difficult to track objects detected across multiple cameras, which affects the precision and efficiency of object detection.
Innovation Solution
A monitoring system with multiple cameras equipped with AI models for video analysis, where one camera detects a certain action and generates a secondary AI model for detecting the associated object, which is then transmitted to other cameras for further tracking, allowing for enhanced cooperation and object tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If AI analysis is implemented by using a dedicated analysis server or cloud, then calculation precision is improved, but response time and real-time processing capability deteriorate
Solution Approach 1:
The patent segments the AI analysis function into two parts: a first AI model for detecting actions (simpler, faster) and a second AI model for detecting objects (more complex, precise). This segmentation allows the system to achieve real-time response for action detection while maintaining high precision for object identification through the specialized second model.
Solution Approach 2:
The system performs preliminary action detection using the first AI model before conducting detailed object detection. When an action is detected, the system then generates and applies the second AI model specifically for that object type, preparing the detection framework in advance rather than processing everything in real-time from scratch.
2Device complexity
If cameras operate independently without cooperation, then device complexity is reduced, but tracking capability across multiple cameras deteriorates
Solution Approach 1:
The analyzing device receives detection results from multiple cameras and provides feedback by generating a second AI model based on detected actions. This feedback mechanism enables cameras to cooperate effectively - when one camera detects an action, the system generates a specialized model that can be applied across the camera network, improving tracking reliability without requiring complex inter-camera communication protocols.
Solution Approach 2:
The analyzing device acts as an intermediary that coordinates between multiple cameras. It collects detection data, generates the second AI model, and distributes it to relevant cameras, enabling cooperative tracking while keeping individual camera operations relatively simple and independent.
3Device complexity
If a single AI model is used for all detection tasks, then device complexity is reduced, but detection precision for specific objects deteriorates
Solution Approach 1:
The patent applies local quality by using different AI models for different detection needs: the first AI model handles general action detection across all cameras, while the second AI model provides specialized, high-precision detection for specific object types. This localized specialization improves detection precision without requiring every camera to run all possible detection models simultaneously.
Data Source
AI summary
An Objective of the present invention is to improve the inter-camera cooperation in a monitoring system comprising multiple cameras each having a function to perform video analysis by use of an AI model. A monitoring system according to the present example comprises: multiple AI cameras 101 each having a function to perform video analysis by use of an AI mode; and an analyzing device 102 that generates the AI model used in the AI cameras 101. Each of the AI cameras 101 detects suspicious behaviors through video analysis using a particular-behavior detection AI model for detecting the suspicious behaviors. When suspicious behaviors are detected by any of the AI cameras 101, the analyzing device 102 generates a particular-person detection AI model for detecting a particular person (suspicious person) having done the suspicious behaviors, and transmits the particular-person detection AI model to each of the AI cameras 101. Each of the AI cameras 101 detects the suspicious person through video analysis using the particular-person detection AI model.