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Artificial intelligence is constantly breaking through barriers, and its application fields are becoming widespread, especially in the security field. The AI edge computing box has become an important carrier for traditional monitoring to cross intelligent monitoring . It solves the massive data processing delay generated by cloud computing, thereby handling security events faster and more intelligently. So what is the AI edge computing box? How to use the edge computing box?
What is AI edge computing box
Compared with the well-known cloud computing , the data is uploaded to the cloud server for processing. Edge computing is to process the data at the "edge end", deployed between the front-end data acquisition and the cloud server center, and the hardware device that supports AI learning capabilities in edge computing is the "AI edge computing box". Kunyunke Starry Sky X6A edge computing box has embedded artificial intelligence algorithms, rich algorithms, rapid deployment, and supports 8-channel video structured analysis.
edge computing box How to use
edge computing box is a small and powerful edge computing product that supports parallel analysis of multiple algorithms. A single unit can provide up to 8-channel video processing capabilities. Connect the AI edge computing box to the collection switch connected to the camera to obtain the images collected by the front end, connect the other end to the management platform to transmit information analyzed through AI video, and use AI algorithms to identify safety dresses such as unwrapped helmets and work clothes; identify abnormal behaviors of personnel such as personnel leaving their posts, sleeping on their posts, smoking, and breaking in, and environmental risks such as smoke and flames. When abnormalities occur, intelligent monitoring based on the edge computing box can provide behavioral warnings to meet the application needs of security, safety monitoring, transportation, industrial manufacturing and other scenarios.
Kunyun AI edge computing box features
1. Intelligent edge, rich interface
integrates high-performance ARM and high utilization AI computing power; guarantees low latency at high throughput, which is more suitable for real-time applications; supports multiple interfaces of GbE, USB, and HDMI to meet different scenarios.
2. Rich algorithms, support custom
supports Caffe, TensorFlow, PyTorch, ONNX (MXNet, PaddlePaddle, etc.), which is stable and easy to use; supports people, cars, objects recognition, and multi-channel video structured analysis; provides customized algorithms and deployment solutions to meet the needs of multiple scenarios.
3. Quick deployment, plug-and-play
provides an SDK interface for easy secondary development; it is suitable for a variety of devices and is easy to deploy.
4. Rich scenarios, strong adaptability
adapts to smart security monitoring , smart security, smart transportation, intelligent manufacturing and other scenario requirements in many fields; the working temperature supports -20℃ ~ 60℃.
