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As a result, you get the digitalized value of your meter. It then extracts the Regions of Interest (ROI's) out of it and runs them through an artificial inteligence. The device takes a photo of your meter at a defined interval. OTA-Interface to update directly through the web interface.Web surface to administrate and control.Small and cheap device (3x4.5x2 cm³,

Inline Image processing (feature detection, alignment, ROI extraction).Tensorflow Lite (TFlite) integration - including easy to use wrapper.This projects allows you to digitalize your analoge water, gas, power and other meters using cheap and easily available hardware.Īll you need is an ESP32 board with a supported camera and a bit of a practical hand. Here this edge computing is brought into a practical oriented example, where a AI network is implemented on a ESP32 device so: AI on the edge. With the increasing power of modern processors the AI systems are coming closer to the end user - which is usually called edge computing. Most of the systems relay on either powerful processors or a direct connection to the cloud for doing the calculations up there. Just think of speech or image recognition. Artificial intelligence based systems have been established in our every days live.