Live Analytics — Empower decision-making for scheduling, traffic flow, staffing, signage, merchandising, and more with an integrated understanding of pathing, gender, age, identity, and even sentiment.
Optimized for Live Video — The SAFR platform is optimized for accuracy and performance for live video. It can be deployed on a single computer with a handful of IP cameras or scaled to thousands of cameras in a distributed architecture.
SAFR Actions — Configure and manage responses to recognition events. Written in any scripting language, actions can be deployed for a wide range of IFTTT scenarios. Unlock a door, turn on a light, send an alert, record data for reporting, and more.
Speed & Accuracy: Delivers 99.86% accuracy in real time, detecting and matching faces in under 100ms. Has one of the lowest rates of bias for skin tone and gender, according to NIST, due to its massive and highly diverse global training set.
Flexibility: Deploys on premises or in the cloud. Runs on Windows, Mac, or Linux machines. Designed to connect, adapt, and extend to specialized applications, and custom integrations.
Reduced TCO: A distributed architecture means detection occurs at the edge while recognition occurs on the server, allowing for low-bandwidth environments. With the ability to leverage inexpensive GPUs, SAFR’s TCO is markedly lower than other platforms.
Privacy: Secures data with AES-256 encryption, in transit and at rest, and features full opt-in/opt-out capabilities. No data is passed over the internet if run on premises.
Deployment Neutral: SAFR can be deployed on premises or in the cloud, is OS independent, has a low memory footprint, is computationally efficient, and features multi-GPU support.