IoT Sensor Board with Machine Learning & Bluetooth Low Energy

This versatile Internet of Things (IoT) sensor board design targets applications in industrial predictive maintenance, smart home/IoT appliances with gesture recognition, wearables (activity tracking), and mobile for innovative human machine interface, or HMI, FingerSense solutions. This reference design was developed with Renesas partner Qeexo, who provided their Automated Machine Learning platform (AutoML) for edge devices.

System Benefits:

• Features an IoT-specified microcontroller (MCU) supporting operations at 120MHz with 2M embedded Flash
• Solutions include an air quality sensor, light sensor, temperature and humidity sensor, a 6-axis inertial measurement unit, and a microphone
• Arduino shield pinout allows for the extension of other functions, such as a BG96 cellular shield that supports Cat-M1 and NB-IoT frequencies, as well as 2G, GPS and additional sensors