Paravision has released new software development kits (SDKs) to facilitate the design and deployment of embedded facial recognition systems based on its edge AI (artificial intelligence) technology. Edge AI solutions for facial recognition are already powering several devices on the market that are both ultra-low power and small form factor, as well as extremely fast and accurate. The new toolkits released by Paravision now support several facial recognition functions, including face detection, landmark detection, image quality assessment, liveness and anti-spoofing, template creation, and 1:1 or 1:N face matching. Commenting on the news, the computer vision firm said the above facial recognition functions can be integrated with backend systems in a hybrid architecture. In other words, a system built via the Edge AI SDK could potentially run face detection, quality metrics, liveness, and image cropping on the edge while enabling face matching itself in the cloud.