IoT Sensor Board with Machine Learning and Bluetooth® Low Energy
Author: EIS Release Date: Mar 23, 2021
Renesas’ IoT sensor board reference design has an Arduino shield pinout which allows for the extension of other functions
Renesas’ Internet of Things (IoT) sensor board with machine learning and Bluetooth low energy (BLE) reference design targets applications in industrial predictive maintenance, smart home/IoT appliances with gesture recognition, wearables (activity tracking), and mobile for innovative human-machine interface (HMI) or FingerSense solutions.
This reference design was developed with Renesas partner Qeexo who provided an automated machine learning platform (AutoML) for edge devices.
Features
- An IoT specified microcontroller (MCU) supporting operations at 120 MHz with 2 M embedded Flash
- Solutions include an air quality sensor, light sensor, temperature and humidity sensor, a six-axis inertial measurement unit, and a microphone
- Arduino shield pinout allows for 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
- RA6M3 MCU
- 120 MHz Arm® Cortex®-M4 high-performance MCU with USB high-speed Ethernet and TFT controller
- RA4W1 MCU
- 48 MHz Arm Cortex-M4 BLE 5.0 single chip MCU
- ISL9007 LDO
- High current LDO with low IQ and high PSRR
- ZMOD4410 sensor
- Leading high sensitivity and long term stability enables customer to release product families via SW changes, international accepted definition of indoor air quality (IAQ), calculation or estimated carbon dioxide (eCO2)
- HS3001 sensor
- Silicon carbide capacitive sensing element, excellent stability against aging, temperature sensor accuracy of ±0.2°C
- ISL29020 sensor
- A low power high sensitivity light to digital sensor with I2C interface