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Biometric Detection Feature for Contactless Access Control
NXP Semiconductors announced on the 6th the latest NXP EdgeReady IoT solution for secure facial recognition. This solution enables OEM manufacturers to quickly and easily provide vision-based contactless access control at low cost.
The NXP EdgeReady solution integrates the capabilities of intelligent edge computing into user applications. Each ready-for-the-edge platform is equipped with hardware optimized for cost and form factor and provides NXP's proprietary software.
Additionally, by recognizing faces, it can authenticate and operate security machines, equipment, and access points in hotels, public buildings, and residences that have doors, locks, facilities, elevators, garage doors, and security systems.
NXP's turnkey solution provides infrared and RGB cameras, flash, and SDRAM memory at a total cost below 10 dollars, and includes an AI/ML-based facial recognition software license that recognizes faces through biometric verification and the i.MX RT106F crossover MCU.
The i.MX RT series crossover MCU is designed to minimize cost for high-performance embedded processing in edge environments while meeting both high performance and integration capabilities.
The NXP EdgeReady IoT solution for secure facial recognition includes both software and hardware information supporting design completion in less than six months. The development kit includes schematics, bills of materials, board layouts for turnkey design experience, and ready-to-use facial biometric enrollment applications.
In particular, the biometric liveness detection infrared camera operates alongside a visible light (RGB) camera, enabling real person differentiation from photos and facial recognition within 0.5 seconds without the need for costly 3D structured lighting or ToF cameras. Expression detection, quality inspection, liveness detection, and facial recognition can be performed at the MCU-based edge in less than 500 milliseconds without cloud connectivity.
Additionally, enhanced data privacy protection features allow individuals' biometric data to be stored entirely on edge devices, and when the device is not in use, power-saving functions can be utilized to maximize battery life.
NXP Semiconductors announced on the 6th the latest NXP EdgeReady IoT solution for secure facial recognition. This solution enables OEM manufacturers to quickly and easily provide vision-based contactless access control at low cost.
▲ NXP unveiled the latest secure facial recognition solution 'NXP EdgeReady IoT'. [Photo=NXP]
The NXP EdgeReady solution integrates the capabilities of intelligent edge computing into user applications. Each ready-for-the-edge platform is equipped with hardware optimized for cost and form factor and provides NXP's proprietary software.
Additionally, by recognizing faces, it can authenticate and operate security machines, equipment, and access points in hotels, public buildings, and residences that have doors, locks, facilities, elevators, garage doors, and security systems.
NXP's turnkey solution provides infrared and RGB cameras, flash, and SDRAM memory at a total cost below 10 dollars, and includes an AI/ML-based facial recognition software license that recognizes faces through biometric verification and the i.MX RT106F crossover MCU.
The i.MX RT series crossover MCU is designed to minimize cost for high-performance embedded processing in edge environments while meeting both high performance and integration capabilities.
The NXP EdgeReady IoT solution for secure facial recognition includes both software and hardware information supporting design completion in less than six months. The development kit includes schematics, bills of materials, board layouts for turnkey design experience, and ready-to-use facial biometric enrollment applications.
In particular, the biometric liveness detection infrared camera operates alongside a visible light (RGB) camera, enabling real person differentiation from photos and facial recognition within 0.5 seconds without the need for costly 3D structured lighting or ToF cameras. Expression detection, quality inspection, liveness detection, and facial recognition can be performed at the MCU-based edge in less than 500 milliseconds without cloud connectivity.
Additionally, enhanced data privacy protection features allow individuals' biometric data to be stored entirely on edge devices, and when the device is not in use, power-saving functions can be utilized to maximize battery life.
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