CloudEye RSU is powered by the Xilinx Kintex-7 FPGA based AIoT module. With deeply customized artificial intelligence networks, this AIoT core solution is the perfect combination of high computing power, low power consumption and low latency for computer vision applications.
AI chip hardware algorithm acceleration, multiple deep
learning network tasks in parallel processing, automated machine learning mechanism
Ultra-high average object recognition accuracy (mAP) and recognition rate Supports simultaneous processing of up to 8 HD camera video streams
Core board clocked up to 2.0GHz, equipped with PCIe Gen2, RJ45, USB3.0 and other high-speed interfaces
4G DDR3 provides large storage space