Build an Egg Counting System with Computer Vision

Timothy M's blog post, published on August 26, 2024, details the development of an Egg Counting and Tracking System using computer vision and a camera node to automate egg inventory management. The system, designed to function in places like homes or pantries, employs a camera to capture daily images of egg storage, which are then processed by a computer vision model hosted on the Roboflow Inference server to count the eggs. This count is compared against a predefined threshold, and if the egg number falls below it, the system triggers alerts through MQTT to either notify the user or automatically place orders with online grocery services. The setup includes a Python script for running inference and publishing results and a JavaScript app that visually represents egg inventory and nutritional tracking through a web-based GUI, showcasing consumed and remaining eggs alongside nutrition facts. Future enhancements could involve integrating the system with grocery services for automatic reordering and databases to analyze consumption patterns, optimizing inventory management and ensuring a continuous supply without manual intervention.