Author(s) :

Ratnaraj Kamble.

Volume/Issue :

Abstract :

Ensuring product quality in manufacturing is critical for maintaining efficiency, reducing waste, and meeting regulatory standards. Traditional quality control methods, such as manual inspection, are prone to human error and inefficiency, especially in high-speed production environments. This research focuses on the development of an automated faulty product detection and separation system utilizing ultrasonic and infrared (IR) sensors. The system is designed to work on a conveyor belt, detecting faulty products based on two key parameters: height variations and sticker presence. The ultrasonic sensor measures the height of products in real time, identifying any deviations beyond a predefined threshold. Simultaneously, the IR sensor detects the presence of stickers on bottles, ensuring that only properly labeled products proceed further. Faulty products—either due to incorrect height or missing stickers—are automatically separated from the production line using a mechanical sorting mechanism. This dual-sensor approach enhances quality control by providing accurate and reliable defect detection. The system is designed to be cost-effective, scalable, and adaptable to various industries, including food and beverage, pharmaceuticals, and consumer goods manufacturing. Preliminary tests indicate a high detection accuracy and efficient rejection of defective products, reducing reliance on manual inspection while improving overall production speed. This research contributes to advancing automated quality control systems by integrating real-time sensor-based inspection and sorting mechanisms. The findings demonstrate the potential of this system to improve manufacturing efficiency, reduce defects, and ensure consistent product quality, making it a viable solution for modern production environments. Keywords: Automated Quality Control, Ultrasonic Sensor, Infrared Sensor, Conveyor Belt, Faulty Product Detection, Sorting Mechanism.

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