FaceFirst, a U.S. computer vision company, has announced a new version of its platform to help create safer communities, frictionless customer experiences and more secure transactions from video analytics.The new platform version 6.6 is the company's most scalable platform architecture to date, offering improved accuracy, multi-location deployment automation, automated video analytics, health and camera monitoring, and increased ability to work with any camera including existing infrastructure.Accuracy: Version 6.6 offers breakthroughs in face detection performance in challenging conditions. The algorithm can now recognize 4-7.5 times more faces in extreme lighting conditions, at unusual angles and in large crowds. This improved accuracy also creates more reliable performance across every camera type. “FaceFirst has always been a leader in public safety solutions,” said 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.”Camera Compatibility: Thanks to the improved accuracy in challenging conditions offered by version 6.6, we have increased our ability to work with all camera types and across existing camera infrastructure, including IP, USB, webcam, dome, bullet and panoramic (single and multi-sensory) cameras.Automated Edge and Core Deployment: The latest platform also provides simplicity of scalability. Building on the company's Two Minute Deployment installer launched earlier this year, the new functionality makes it easy to remotely set up a central server and then add dozens of locations within minutes, enabling customers and partners to achieve scale quickly. This is particularly useful in retail, banking and restaurants, where customers need to deploy across an entire chain.Health Monitoring: The new release also offers system and camera health monitoring with the ability to instantly discover cameras, certify them, and warn when there is a camera issue. This health monitoring capability is crucial in challenging environments where cameras can easily drift from their ideal configuration. “FaceFirst is being used in highly trafficked areas like retail outlets, stadiums and transportation hubs,” said 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.”
FaceFirst announces new version of enterprise platform
