Meet Smart Mirror that Authenticates Driver Identity
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A new technology will help law enforcement not only to maximize situational awareness but also to manage fleet and human resources. The iris authentication technology has been integrated into a smart rear-view mirror with camera and AI, developed for the law enforcement and public safety sectors. It will identify drivers and occupants in traditional and autonomous vehicular scenarios.
EyeLock’s biometric authentication technology is integrated into the multi-faceted mirror, allowing only authorized personnel to operate the vehicle, with access to the vehicle’s connected devices and computers.
The technology will also act as an officer interaction log to record who is behind the wheel, fleet management, and time and attendance functions for end-of-shift procedures. Additional features can be enabled for law enforcement, civilian safety, fleet services, and ride-sharing services, along with consumer functions that may include personalization and keyless entry.
This smart rear-view mirror also features a dual camera system that captures 360-degree 4K video content of the entire surroundings, both in and out of the vehicle. The 360-degree view includes a dedicated forward facing POV camera that runs specific computer vision-based video processing tasks, including license plate recognition in high resolution, as well as a centered lens that captures 360×240-degree content.
The data feeds come together in a suite of AI features such as object recognition, threat detection, accident avoidance, and telemetric data, as reported by biometricupdate.com.
Jeff Carter, CEO of EyeLock, said: “The collaboration with 360fly brings to life our shared vision to transform driver authentication, particularly in the mission-critical world of law enforcement.”
“The Smart Rear View Mirror platform from 360fly represents the most complete integration of optics and edge AI for public safety,” said said Peter Aloumanis, CEO of 360fly. “The edge AI capability provides industry-leading, actionable AI analytics that up until now were only available on server-based systems.”
