Users can best experience the versatility of the ECM3532 AI Sensor board in minutes by using Edge Impulse’s TinyML development pipeline and the 6 pin UART port.
See here for a tutorial how to use the board with Edge Impulse: https://docs.edgeimpulse.com/docs/eta-compute-ecm3532-ai-sensor
Accelerates prototyping of AI Sensing at the Edge
The ECM3532 AI Sensor board is an ultra-low power AI platform with sensors that can run many algorithms: sound classification, keyword spotting, activity classification, context awareness, defect detection and others.
It showcases the capabilities of the ECM3532 Neural Sensor Processor built with Eta Compute’s patented self-timed continuous voltage and frequency scaling technology (CVFS) producing the lowest energy for inference for machine learning algorithms.
- 1.4 x1.4-inch board with sensors and ECM3532 Neural Sensor Processor
- 2 x PDM MEMS Microphones: TDK-Invensense ICS-41350
- 1 x Pressure/Temperature sensor: BOSCH BMP388
- 1 x 6-axis MEMS Accel/Gyro: TDK-Invensense ICM-20602
- Battery cradle for CR2032 battery
- Bluetooth Low Energy on board: BLE v4.2: ABOV A31R118 and antenna
- Extension for other types of RF through Micro SD card slot
- 6 pin UART and power port
- 64Mbit serial Flash for datalogging
- 5 LEDs and push button