Xilinx’s reVISION to expand vision-guided machine learning applications

Xilinx, Inc. has expanded into broad range of vision guided machine learning applications with the introduction of reVISION stack. This enables machine learning from the edge to the cloud. The new reVISION stack enables engineers to develop intelligent vision guided systems easier and faster, with little or no hardware design expertise. The engineers can now utilize the advantages of combining machine learning, computer vision, sensor fusion, and connectivity. reVISION enables applications spanning a number of markets such as high end consumer, automotive, industrial, medical, and aerospace & defense. Next generation applications include collaborative robots or 'cobots', 'sense and avoid' drones, augmented reality, autonomous vehicles, automated surveillance and medical diagnostics. Applications in these markets require systems to be extremely responsive and algorithms and sensors need to be quickly deployed. reVISION offers: With up to 6x better images/second/watt in machine learning inference 40x better frames/second/watt of computer vision processing and 1/5th the latency over competing embedded GPUs and typical SoCs Developers with limited hardware expertise can use a C/C++/OpenCL development flow with industry-standard frameworks and libraries like Caffe and OpenCV to develop embedded vision applications on a single Zynq SoC or MPSoC. Also, dev...