NXP Semiconductors N.V. unveiled today the world’s first microcontroller (MCU) -based solution for adding offline face and expression recognition capabilities to smart home, commercial and industrial devices. Built on NXP’s latest crossover MCU, the i.MX RT106F, running FreeRTOS, the new MCU-based face recognition solution enables original equipment manufacturers (OEMs) to quickly, easily and inexpensively incorporate face, expression and emotion recognition into a diverse range of IoT products.
The i.MX RT106F leverages the power of NXP’s OASIS face processing engine to provide a breakthrough in price and performance, using a neural network to perform face detection, recognition, and anti-spoofing, without the need for cloud connectivity. OEMs now have the ability to take advantage of NXP’s proven hardware and software-based platform to offer advanced human machine interface (HMI) capabilities that can anticipate and personalize the end user’s experience with smart edge devices such as smart appliances, thermostats, lighting, alarms, and power tools.
The MCU-based face recognition solution bundles everything required to implement accurate, low latency face and expression recognition using an ultra-small form factor that fits into existing applications. The self-contained platform includes production-ready, pre-certified hardware and software tools, and NXP’s fully integrated OASIS face processing engine for face and expression recognition with camera and display drivers. In addition to creating the easiest path to adding these capabilities to MCU-based devices, the all-inclusive offering clears away any need for specialized expertise, supply chains or logistics.
With total system costs less than half that of microprocessor-based alternatives, the new offering has already been embraced by OEMs who are excited about the possibilities of delivering more advanced and unique user experiences.
NXP is now engaging with OEMs to provide early access to the evaluation and development kit for this solution, and broad market availability is expected to begin in Q1 2020.