Paravision Launches Edge AI Face Recognition for Ambarella AI Vision Processors 

SAN FRANCISCO, Dec. 3, 2020 -- Paravision, a U.S.-based leader in mission-critical computer vision, announced today that it has expanded its Edge AI offering to include full support for Ambarella’s CVflow artificial intelligence vision processing architecture, enabling transformative solutions in enterprise access control, video security, payments, home automation, and other IoT applications.

Support of CVflow will allow Paravision to bring a wide range of its AI-based computer vision capabilities to the network edge while maintaining outstanding accuracy and processing speed. Paravision’s face recognition, which has been established as a world leader in accuracy per the National Institute of Standards and Technology’s (NIST) rigorous Face Recognition Vendor Test (FVRT), can now be deployed on ultra-compact, fanless IoT devices while maintaining greater than 30 fps face detection and image quality assessment and sub-100msec one-to-many identification.

We’re truly excited to start a new chapter in Edge AI with support of Ambarella’s CVflow architecture. Through this deep integration, we have the opportunity to enable new paradigms for user experience and industrial design, bandwidth efficiency, and biometric privacy. -Joey Pritikin, Chief Product Officer, Paravision

Ambarella has established itself as a platform of choice in computer vision-centric Edge AI due to the combination of best-of-breed image signal processing, neural network acceleration, and power efficiency in its range of CVflow system on chips (SoCs), including CV2, CV22, and CV25. By offering world-class face detection, image quality analysis, and face recognition on imaging devices powered by Ambarella SoCs, Paravision offers its partners a number of benefits:

• Improved user experience with high-frame rate, low-latency processing in ultra-compact form factors;
• Reduced network bandwidth load by selectively compressing or sending video, frames, or cropped images; and
• Improved biometric privacy protection, with options to obscure or remove faces at the camera itself before ever being sent to a video stream.

The combination of Paravision software stack and Ambarella’s CVflow offers solution providers a truly compelling path to deliver face recognition and associated computer vision to a broad range of IoT applications. This is a powerful pairing for partners looking for trusted, high-performance AI-powered computer vision at the edge. Chris Day, Vice President of Marketing and Business Development, Ambarella

About Paravision

Powered by AI and leveraging the latest advances in deep learning, Paravision’s computer vision software is trusted globally by security device manufacturers, solution providers, systems integrators, and financial services firms to deliver frictionless experiences and comprehensive safety and security. From the latest in Edge AI platforms to cloud-ready solutions, Paravision powers computer vision-centric solutions with modular, highly scalable toolsets that deliver breakthrough capabilities in the most challenging conditions.

Paravision has developed deep expertise in face recognition specifically, and strives to consistently raise the bar for face recognition technology in accuracy, security, inclusion, and convenience. Paravision is the only American company to rank in the top 10 in over 50 accuracy benchmarks across the 1:1 and 1:N NIST Face Recognition Vendor Tests, including Top 3 global performance on many of the most demanding at-scale requirements.

Source: Paravision