The demand for intelligent vision solutions, from edge to cloud, shows no sign of slowing down. Enterprises of every type want such applications for surveillance, retail, manufacturing, smart cities and homes, office automation, autonomous driving, and more. Increasingly, AI applications are powered by smart vision inputs.
Until now, most intelligent computer vision applications have required a wealth of machine learning, deep learning, and data science knowledge to enable simple object recognition, much less facial recognition or collision avoidance. That’s all changed with the introduction of Intel’s Distribution of OpenVINO (Open Visual Inference and Neural Network Optimization) toolkit.
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