Large Scale Iot Deployments
December 19, 2022 ⚊ 1 Min read ⚊ Views 97 ⚊ BUSINESSInformation is frequently gathered by embedded devices from a number of sensors (audio, IR cameras, IMU, accelerometers, temperature sensors, CMOS cameras, chemical sensors, etc.). These embedded systems often are powered by batteries and consume little energy (1 mW or less). Because that primarily performs simple processing tasks, the CPU of the device is often left idle over time. They are ideal for developing lightweight inference algorithms due to the ubiquitous usage of MCU-powered embedded devices, their latent processing capabilities, and their closeness to physical data sources via sensors. Tiny machine learning (TinyML), a new embedded technology industry aiming at building machine learning algorithms on resource-constrained devices based on MCUs, arose from this technique [9].