Neural network software framework extends support for AI in vision

The signal processing IP provider’s CDNN2 (CEVA Deep Neural Network), is its second generation neural network software framework for machine learning. It enables localized, deep learning-based video analytics on camera devices in real time. This reduces data bandwidth and storage compared to running such analytics in the cloud, while lowering latency and increasing privacy. Coupled with the <a href=”http://eu.vocuspr.com/Tracking.aspx?Data=HHL=8448A&JDG<:99+53:&SDG<:0CEVA-XM4 intelligent vision processor, CDNN2 claims time-to-market and power advantages for implementing machine learning in embedded systems for smartphones, advanced driver assistance systems (ADAS), surveillance equipment, drones, robots and other camera-enabled smart devices.   CEVA’s first generation neural network software framework (CDNN) is already in design with multiple customers and partners. It adds support for TensorFlow, Google’s software library for machine learning, as well as offering improved capabilities and performance for the…


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