AI Camera SoC Integrates Computer Vision and Deep Learning Technologies

By Mike Ball / 24 Oct 2018

CEVA logoCEVA, a developer of signal processing platforms and artificial intelligence processors, has announced that their CEVA-XM6 computer vision and deep learning platform has been integrated into SigmaStar Technology Corp.’s SAV538 Artificial Intelligence (AI) camera System-on-Chip (SoC), to enable advanced computer vision and neural-network based applications.

The SAV538 SoC incorporates the CEVA-XM6 and CEVA Deep Neural Network (CDNN) technologies to enable intelligent video content analytics for a broad range of camera-based applications including unmanned aerial vehicle (UAV) surveillance, and autonomous driving. The CEVA platform efficiently supports a combination of computer vision algorithms and neural networks, providing SigmaStar customers with a differentiated, programmable solution on which to develop their AI-based camera applications.

“The SAV538 intelligent camera SoC delivers outstanding performance and ultra-low power consumption for anyone wishing to embed vision-based AI in their device,” said HM Cheng, associate vice president at SigmaStar. “CEVA’s computer vision and neural network platform is key to our SoC, allowing us and our customers to simply and efficiently deploy high-performance computer vision algorithms and neural networks on the edge device, without requiring a connection to the cloud.”

“With the adoption of our CEVA-XM6 and CDNN technologies, SigmaStar has delivered on the promise of AI at the edge in their intelligent camera SoC, bringing advanced video content analytics to the mass market,” said Ilan Yona, vice president and general manager of CEVA’s Vision Business Unit. “We’re proud to have collaborated closely with SigmaStar in the development of this outstanding product and look forward to continuing our relationship with them as AI becomes a ‘must-have’ technology in every camera-enabled device.”

Posted by Mike Ball Mike Ball is our resident technical editor here at Unmanned Systems Technology. Combining his passion for teaching, advanced engineering and all things unmanned, Mike keeps a watchful eye over everything related to the unmanned technical sector. With over 10 years’ experience in the unmanned field and a degree in engineering, Mike’s been heading up our technical team here for the last 8 years. Connect & Contact