Image processing chip integrates DNN for AI applications

March 08, 2018 // By Christoph Hammerschmidt
Ambarella Inc., a semiconductor provider specialized in HD and Ultra HD video processing technology, has introduced the CV22 camera SoC, the second chip in the CVflow family. The device combines image processing, 4Kp60 video encoding and CVflow computer vision processing in a single, low power design. Target applications include intelligent security, automotive, drone and wearable cameras.

The CV22’s CVflow architecture provides the DNN (Deep Neural Network) processing required for the next generation of intelligent cameras. Fabricated in advanced 10nm process technology, it achieves an industry-leading combination of low-power and high-performance in both human vision and computer vision applications

According to Ambarella CEO Fermi Wang, the CV22 enables customers to deploy cameras with high-performance deep-learning capabilities. “Compared with inefficient CPU and GPU solutions, CV22 provides powerful computer vision performance combined with high-quality image processing, efficient video encoding and the low-power operation required to be deployed in mass production. It will enable a new level of intelligence in cameras, ranging from person recognition in home monitoring cameras to advanced ADAS capabilities in automobiles,” Wang pointed out.

The CV22 is available in Europe through distributor Macnica .

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