Video Detector
- Commodity name: Video Detector
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Product Details
Product Introduction
AI fusion algorithm、Multi-sensor data fusion、Low-latency decision-making、Response time less than 100 ms、Supports 4-channel 4K video、Traffic/speed/event detection、24/7 operation in harsh environments.
Features
1. Integrated AI fusion algorithms improve edge processing capabilities.
2. Support multi-sensor data fusion and stable operation in 24/7 environments.
3. Rack-mounted design, can be integrated into signal controller, easy to install and maintain.
4. Low-latency edge decision-making, with response latency below 100 ms.
5. 4-channel 4K video stream analysis, real-time traffic flow statistics analysis.
Specifications & Parameters
The Video Detector (mobile edge computing (MEC)) is a high-performance smart terminal that integrates AI algorithms and multi-source data fusion processing capabilities, specifically designed for real-time traffic management optimization. It is also the core device of the“edge sensing + cloud decision-making” architecture solution. Through the AI algorithms built into the edge computing box, it can extract key indicators such as traffic flow, vehicle speed, and queue length from video streams.
Key Functions
1. Support real-time analysis of 4-channel 4K video streams, enabling traffic flow statistics, speed detection and event recognition (such as congestion/accidents).
2. Millimeter-wave radar and video fusion processing improve detection accuracy in complex environments.
3. Localized algorithm container deployment, response latency<100 ms.
Key Parameters
1. Support up to 32 channels of 1080P@25fps HD video hardware encoding capability.
2. Dual Gigabit Ethernet ports, expandable to 4G LTE and 5G communications.
3. Deep learning frameworks: Support PyTorch/ONNX/Padde/TensorFlow/Caffffe/MXNet/Darknet.
4. Operating temperature: -40°C to 70°C, industrial-grade reliability
Key Advantages
Low-latency edge decision-making, multi-sensor data fusion, and stable operation in 24/7 environments, suitable for smart intersections, high-speed monitoring, and other scenarios.
Keywords
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