Artificial intelligence based traffic monitoring system and method
The traffic monitoring system, which combines multi-source perception with deep learning algorithms, solves the problems of low recognition accuracy, slow response, poor coordination, and privacy and security in existing systems under complex environments, and achieves efficient and secure traffic monitoring and management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- MCC REAL ESTATE CHONGQING CO LTD
- Filing Date
- 2026-04-30
- Publication Date
- 2026-07-17
AI Technical Summary
Existing traffic monitoring systems suffer from low accuracy, slow response, poor coordination, and insufficient adaptability in complex environments, and also lack privacy protection and data security.
It employs a multi-source sensing module, a data preprocessing module, an intelligent analysis module, a collaborative processing module, a data encryption module, and an adaptive adjustment module, combined with an improved YOLOv8 algorithm, LSTM neural network, and Transformer algorithm, to achieve multi-dimensional data fusion, real-time analysis, and dynamic optimization.
It enhances the comprehensive, high-precision, and real-time monitoring of traffic scenarios, improves the efficiency and handling capabilities of abnormal event identification, and at the same time ensures data security and privacy.
Smart Images
Figure CN122416748A_ABST