AI-on-the-edge-device — Digitizing Analog Meters with Edge AI and ESP32-CAM

Overview

AI-on-the-edge-device is an open-source project that enables the digitization of traditional analog meters, such as water, power, and gas meters, using an ESP32-CAM. This project leverages edge computing to bring AI capabilities closer to the end user, allowing for the conversion of standard meters into smart devices at a low cost and with simple instructions.

Key Features

TensorFlow Lite (TFLite) integration with an easy-to-use wrapper
Inline image processing for feature detection, alignment, and ROI extraction
Small, affordable device with integrated camera and illumination
Web interface for administration and control
OTA interface for direct web interface updates
Full integration with Home Assistant
Support for InfluxDB 1 and 2
MQTT protocol support
REST API available for data access

Use Cases

Homeowners digitizing their water, power, or gas meters for smart home integration
Utility companies upgrading traditional meters to smart meters for remote monitoring
IoT enthusiasts creating custom monitoring solutions for various analog meters

Advantages

Cost-effective solution for digitizing analog meters
Easy integration with existing smart home ecosystems like Home Assistant
Supports various data handling options, including MQTT, InfluxDB, and REST API

Limitations / Considerations

Requires an ESP32 board with a supported camera
May require some practical skills for setup and installation
Project's documentation and community support may impact ease of implementation

Home Assistant: A popular open-source home automation platform that AI-on-the-edge-device can integrate with. It differs in that it is a broader platform for home automation, not specifically focused on digitizing analog meters.
OpenMQTTGateway: An open-source MQTT gateway that can be used for IoT projects. It differs as it is a general MQTT gateway, not tailored for meter digitization.
InfluxDB: A time-series database that can be used for storing and managing data from IoT devices. It differs as it is a database solution, not a project for digitizing analog meters.

Basic Information

GitHub: AI-on-the-edge-device
Stars: 7,552
License: Unknown
Last Commit: 2025-09-26

📊 Project Information

Project Name: AI-on-the-edge-device
GitHub URL: https://github.com/jomjol/AI-on-the-edge-device
Programming Language: C++
⭐ Stars: 7,552
🍴 Forks: 775
📅 Created: 2020-07-28
🔄 Last Updated: 2025-09-26

🏷️ Project Topics

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This article is automatically generated by AI based on GitHub project information and README content analysis

AI-on-the-edge-device

Project Description