Vision System on Module (SoM)
tinyVision.ai has addressed the challenge of integrating CV into IoT devices using a tightly integrated platform consisting of a low power image sensor, IMU and microphone coupled to a local computing device (Lattice ultra low power ICE40 5K FPGA). The modules are designed to be dropped into end products as-is with no Hardware modifications, significantly shortening the time to market of the end product.
The SoM enables IoT devices to see, hear and sense motion.
The module integrates the following hardware capabilities:
|Processing tile||Lattice ICE40 Ultra-low-power FPGA, 5K LUT, 1Mb RAM, 8 MAC units|
|Image sensor options||
|Audio||One I2S microphone, expandable with off-board microphone|
|Motion||6 axis Invensense Gyro/accelerometer|
|GPIO||Four, programmable IO voltage|
|Host Interface||4 wire SPI, programmable voltage levels|
2 power options:
|SW support||Lattice SensAI (Tensorflow/Caffe/Keras supported for model development, toolchain for quantization and mapping to Neural Network engines.|
This product is in development and will be available through