Kneron drives automotive AI chip market with new KL730 release


Image Recognition

ARTICLE SOURCE

Kneron has rolled out a new type of neural processing unit, the KL730, which integrates image signal processing and high energy efficiency for use in edge, security and automotive applications. Its image processing technology also packs in the ability to read high-definition inputs at up to 8MP at 90 frames per second, hardware dewarping for full panoramic views, and several other image signal processing features. Neural processing units are designed to perform math that is common in neural networks, used in tasks including image recognition. The idea is to provide AI capabilities to a wide range of distributed, imaging-focused applications without the need for a network connection to a dedicated AI core running remotely — in essence, providing “on-device” AI hardware for everything from cars to medical devices to conference rooms. It could be used to provide enhanced image processing for surveillance cameras and teleconferencing, identifying license plates and faces automatically.