Smart Home Monitoring with Computer Vision and IoT

Timothy M's blog post outlines the development of a smart home monitoring system that uses computer vision and IoT to remotely manage appliances like lights and fans. The system is composed of three core components: a camera node running a Python script to detect the status of appliances via a computer vision model trained with Roboflow, a JavaScript web application that updates the user interface based on status updates from an MQTT broker, and an IoT device that executes control commands received from the JavaScript application. This setup allows users to monitor and control their home environment remotely, offering a cost-effective and flexible solution by replacing multiple sensors with a single camera. The project leverages technologies such as OpenCV, MQTT, and an ESP32 microcontroller to provide both remote and manual control, demonstrating a seamless integration of computer vision and IoT for enhanced home automation. The full code and dataset are available on GitHub and Roboflow Universe, respectively, inviting enthusiasts to explore smart home projects with vision capabilities.