Automatic Faulty Product Detection and Separation Using Arduino-Based Sensor System

Ensuring product quality is a necessity in industrial operations. Manual inspection techniques are labor-intensive and time-consuming. The design and construction of an automatic faulty product identification and separation system utilizing sensors and an Arduino microcontroller are discussed in this study. The system assesses product size, shape, motion, and color on a conveyor belt using infrared, ultrasonic, PIR, and color sensors. A servo motor mechanism is used to automatically distinguish between defective products. The proposed method improves accuracy, reduces labor costs, and boosts productivity. Every product production facility must have a mechanism for detecting and separating defective products. In order maintain both a positive reputation and product quality.