Eta Compute is a California-based technology company involved in providing AI edge vision, sensing solutions. They create energy-efficient AI endpoint solutions that enable sensing devices to make autonomous decisions in energy-constrained environments.
The company has released Low Power AI Vision Board for easy evaluation of their technology which is based on Low Power ARM-Cortex-M3 MCU which consumes only ~5uA/Mhz.
I am aware of only one more microcontroller which could compete with it from a low power consumption point of view, which is Ambiq Micro Apollo 4, it consumes 4uA/Mhz.
ECM3532 AI Vision Board
- Small size (1.5 x1.5 Inch) board with sensors
- ECM3532 NSP
- Himax HM0360 Camera
- Texas Instruments OPT3001 Ambient Light Sensor
- TDK ICS-41350 MEMs Microphones
- TDK ICM-42688-P 6-Axis Motion Sensor (Accel/Gyro)
- Battery socket for CR2032
- Onboard Bluetooth using ABOV Semiconductor A31R118
- 6-Pin UART Interface for programming
- Extension for other types of RF
Read more details on board.
Eta Compute provides a Neural Network API with support for CNN, RNN, LSTM, GRU, etc., various sensors, as well as a Software Development Kit that includes support for popular machine learning training frameworks such as TensorFlow.
The board is also compatible with Edge Impulse TinyML development pipeline.
Eta Compute ECM3532 NSP
- ECM3532 Neural Sensor Processor
- Ultra-low-power 32-bit Arm® Cortex®-M3, NXP CoolFlux 16-bit DSP
- 512kB Flash and 256kB + 96kB SRAM
- 8x PWM
- 2x UART ( Upto 460,800 Baud)
- 3x SPI (Slave), 3x SPI (Master)
- 3x I2C
- Mono, Stereo I2S
- 2x ADC (12 bit)
- Temperature sensor
Download datasheet from Eta Compute website.
ECM3532 is ideal for IoT applications that are battery operated or powered by energy
harvesting such as:
- Low power embedded vision
- Wearable and hearable devices
- Asset tracking, asset monitoring
- Gesture, image, and voice-based user interfaces
- IoT sensor nodes for security and building, retail / inventory management
How to buy ECM3532 AI Vision Board?
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