| ABSTRACT |
The development of automated inspection systems is important in improving the efficiency and accuracy of product inspection in manufacturing processes. Manual inspection can be timeconsuming and may be affected by human error, especially when a large number of products need to be checked. Therefore, this project develops a Smart IoT-Based Production Output and Defective Product Detection System Using ESP32. The system uses a conveyor belt to move products through several inspection sections. An infrared (IR) sensor is used at the first section to detect and count each product entering the system. A second IR sensor detects the product before it reaches the colour inspection section, where the TCS3200 colour sensor is used to identify the product colour. Another IR sensor detects the product before it reaches the height inspection section, where the VL53L0X Time-of-Flight sensor is used to measure the product height. The system determines whether a product is acceptable or defective based on the programmed colour and height conditions. The ESP32 acts as the main controller to process the sensor data and communicate the production information to the Blynk IoT platform. The Blynk platform allows the production output, good products, defective products, colour detection, height measurement, and inspection status to be monitored remotely. An XL4016 step-down buck converter is used to provide a suitable voltage supply for the system components. The developed prototype demonstrates how sensors, a microcontroller, and IoT monitoring can be integrated into an automated product inspection system. The project is expected to provide a simple and practical approach for detecting defective products while improving production monitoring and reducing dependence on manual inspection.
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