Edge computing box benefits
Edge computing is a distributed computing model that pushes computing power and data processing to the edge location where data is generated, reducing data transmission and response delays, and providing faster, real-time analysis and decision-making capabilities. The edge computing box is a manifestation of edge computing. It has a small size and powerful performance. It supports multiple AI algorithm analysis and can process multiple videos.
Edge computing boxes are widely used in various fields. Here are some edge computing-related applications:
Edge computing boxes combine cameras and other devices to perform real-time video analysis and behavior recognition. By using AI algorithms, it can identify the wearing status of safety clothing such as hard hats and work clothes, and detect abnormal personnel behaviors (such as leaving work, sleeping on duty, smoking, breaking in, playing with mobile phones, etc.), as well as environmental risks (such as smoke and flames) and Object recognition (such as vehicle model recognition, electric vehicle entering elevator recognition). The edge computing box can identify and analyze in real time and issue alarms and behavioral warnings, improving the efficiency and accuracy of security monitoring.
Features of Yingma edge computing box
● It is compatible with mainstream deep learning frameworks such as Caffe/TensorFlow/MxNet/PyTorch/ONNX/Paddle. It is one of the few edge computing devices in the industry that is compatible with both domestic and foreign deep learning frameworks.
● Support Docker container deployment and Python development environment.
● The computing power is 2Tops/16Tops/17.6Tops/32Tops/38Tops, and supports up to 32 channels of H.264 & H.265 real-time decoding capabilities.
● Expandable 4G/5G/WIFI wireless network mode to facilitate the deployment of marginalized services.
● Supports wide temperature working environment of -40℃～+70℃.
