SVNet enables external vehicle perception via 14+ platforms, accurately and safely detecting and recognizing objects. Also, it was the first network to run deep learning-based object detection software on TDA2x, V3H, V3M, and H3.
Hardware Specific Optimization
SVNet has minimum computational requirements and electricity consumption due to its lean design. It is also a hardware optimized solution that can service more than 14+ platforms. Whether the target platform is already on the market or R&D phase, StradVision can make SVNet fully operational with virtually no downtime. SVNet was the first Deep Learning-based algorithm ever to be ported onto TI TDA2x and Renesas' V3H, V3M, and H3.
There are more than three dozen functions and applications that can be executed by SVNet. Also, SVNet can handle and be optimized to whatever new functions our clients require. All this is possible due to SVNet's sophisticated architecture.