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Video Processing Control Unit (Modularized)

Video Processing Control Unit (Modularized)

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By leveraging cameras installed in passenger compartments and driver cabs, and relying on advanced technologies such as computer vision and artificial intelligence, the surveillance footage inside the carriages is intelligently analyzed and processed through algorithms. It can detect functions such as abnormal behaviors of drivers, abnormal behaviors of passengers, carriage congestion levels, and leftover items at the terminal station.
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  • Video Processing Control Unit (Modularized)
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Product Features

  • Strong Real-Time Performance

    It can process and analyze CCTV surveillance videos in real time, and promptly issue alarms when abnormal situations occur. For example, in the event of emergencies such as passengers suffering sudden incidents or equipment malfunctions, the system can respond rapidly, gaining precious time for the timely implementation of measures. This is of vital importance for ensuring the safety of subway operations and the lives and property of passengers.

  • High Accuracy

    By applying advanced AI algorithms and learning and training through a large amount of sample data, a complete database is established, enabling the precise identification of various targets and behaviors.

  • Abundant Functions

    the hidden and compact appearance and wide view angle, it can monitor the movement of people in all directions, and is widely used in the fields of business, rail transportation, and so on.

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Parameter specifications
CPU： 6 core NVIDIA Carmel ARM V8.2 64-bit
Computing Power： 21 TOPS or 100 TOPS is optional
CPU： Volta GPU with 384 NVIDIA CUDA cores and 48 Tensor cores
Power Supply： DC110V (77V~137.5V)
RAM： 8GB
Power： 50W Max
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