Abstract
Quality control is critical in manufacturing. Defective products that reach customers damage brand reputation and increase costs. Traditional visual inspection by humans is subjective, slow and prone to fatigue-related errors.
This project presents an automated Faulty Product Detection and Separation System that continuously monitors products moving on a conveyor. Sensors detect deviations in size, color, presence or other predefined criteria. When a fault is identified, the microcontroller triggers a rejection mechanism (servo arm, pneumatic cylinder or diverter flap) that redirects the item into a reject bin while good products continue downstream.
The system is an ideal final-year project for students interested in industrial automation, mechatronics, embedded systems and smart manufacturing (Industry 4.0 concepts).
