Red Chili Defect Detection and Removal System using Raspberry Pi and Pi camera
Authors:-Shanmukha Priya Kurre, Bapanapalli Naga Bhargavi, Guntur Pushpa, Dabbugottu Thirupathi Vani, Chinthabttina Meghamala, Dhulipudi Chinmayi Sai Sri.
Abstract-:The Red Chilli Defect Detection and Removal System is a robust and automated solution designed to identify and remove defective red chillies on a conveyor belt. Utilizing a Raspberry Pi 3 B V1.2 and a Pi Camera module, the system captures real-time images of chillies as they move along the belt. Advanced image processing algorithms analyze these images to detect defects based on predefined parameters such as color, shape, and texture. Upon detection of a defective chilli, a control signal is sent to a DC motor-controlled ejection mechanism powered by an L293D motor driver to remove the defective chilli from the conveyor. This automated approach enhances the efficiency and precision of the quality control process in industries handling red chilli sorting, ensuring higher throughput and consistent product quality.
