CNN German Traffic Sign Recognition Demo using Cadence Tensilica DSP

This demo presents an implementation example of a convolutional neural network (CNN) using a high-performance Tensilica Vision DSP processor. See how a performance-optimized CNN with a high detection rate for a specific class of embedded application such as ADAS traffic sign recognition, can be efficiently implemented using a scalable Cadence® Tensilica® Vision DSP. For more information on Tensilica Vision DSPs visit