New FaceFirst biometric platform version boosts performance and eases deployment

FaceFirst has launched a new version of its biometric enterprise computer vision platform with improved face detection performance in challenging conditions, broader camera compatibility, simplified scalability and system and camera health monitoring.

The algorithm in new FaceFirst version 6.6 can now recognize four to seven and a half times more faces in conditions with extreme lighting, unusual camera angles, or large crowds, and performance is more reliable across different camera types, according to the announcement. The platform also now works with a range of existing camera infrastructures, including IP, USB, webcam, dome, bullet, and single or multi-sensory panoramic cameras.

“FaceFirst has always been a leader in public safety solutions,” says FaceFirst CEO Peter Trepp. “With these performance gains and simplified deployment, the improved platform opens up a variety of new applications and use cases for automated video analysis across industries.”

The company also launched a Two Minute Deployment installer earlier this year, which it says eases the remote setup of a central server with dozens of locations within minutes. This capability, according to FaceFirst, is particularly useful for customers such as retail, banking, and restaurant chains who need to deploy services across many sites.

Health monitoring capabilities introduced in version 6.6 include instant camera discovery, certification, and alerts when an issue is detected.

“FaceFirst is being used in highly trafficked areas like retail outlets, stadiums and transportation hubs,” adds FaceFirst VP of Product Roger Angarita. “It’s pretty common to have cameras shift position or focus over time, but now our customers and partners will know when cameras are not collecting the ideal visual data.”

In April, FaceFirst announced a partnership with the Loss Prevention Foundation to train retailers on biometric privacy and compliance.

Article Topics

biometrics  |  face detection  |  FaceFirst  |  facial recognition  |  monitoring  |  video surveillance