It is the first solution to combine a 3D SLM camera with an MCU delivering the performance and security of 3D face recognition at the edge, and removing the need to use an expensive and power-hungry Linux implementation on an MPU, as is normally the case with high-performance 3D cameras.
The EdgeReady solution has been developed to help developers of smart locks and other access control systems to add machine learning-based secure face recognition to smart home and smart building products.
The solution delivers reliable 3D face recognition in indoor and outdoor applications, across varied lighting conditions, including bright sunlight, dim night light, or other difficult lighting conditions that are challenging for traditional face recognition systems.
The use of a 3D SLM camera enables advanced liveness detection, helping distinguish a real person from spoofing techniques, such as a photograph, imitator mask or a 3D model, to prevent unauthorized access.
The i.MX RT117F utilises an advanced machine learning model as part of NXP’s eIQ machine learning software running on its high-performance CPU core that enables faster and accurate face recognition to improve both the user experience and power efficiency.
Similar to the i.MX RT106F MCU-based NXP EdgeReady solution for secure face recognition, advanced liveness detection and face recognition are all done locally at the edge, making it possible for personal biometric data to remain on the device. As a result, it helps address consumer privacy concerns, while also eliminating the latency associated with cloud-based solutions.
