I&T Solution |
Traffic Light Defacement Detection System
(REF: S-1831) |
Trial Project |
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Solution Feature |
- Utilize deep learning algorithms to achieve high-precision traffic light direction recognition.
- Based on the Computer Vision (CV) large model, the algorithm is optimized to adapt to complex road environments.
- Real-time video analysis to quickly respond to changes in traffic light status.
- Adopting a multimodal large model to improve recognition accuracy and reduce false positives.
- Cloud-edge collaboration enables real-time and flexibility in data processing.
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Trial Application and Expected Outcome |
- Improve the response speed and accuracy of traffic light fault detection.
- Reduce traffic delays and safety hazards caused by traffic light failures.
- Reduce the cost and workload of manual inspections through on-board automated monitoring.
- Realize real-time monitoring and management of traffic light status to improve traffic efficiency.
- Provide technical support for smart city construction and promote intelligent traffic management.
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Additional Solution Information |
CV大模型-交通灯扭向视觉识别_ CMHK.doc
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Info on I&T Solution Provider |
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