A Webcam and LabVIEW-based System for Efficient Object Recognition based on Colour and Shape Features

This paper proposes a system for efficient object recognition based on colour and shape features using webcam LabVIEW. The study aims to develop model scale conveyor belt Lego brick sorting shape. proposed uses the LabVIEW's graphical programming environment capture analyse images, extract features, perform recognition. An Arduino microcontroller, integrated with LabVIEW software, is used move servo motor of analysed image from webcam. has potential be applied in real-world applications such as food industry, particularly fruit vegetable which will help reduce amount time labour needed manual waste by ensuring that only good quality produce sold. Another application control defect detection manufacturing industry. this can sort objects object's overall average reliability percentage 90%. Overall, applicable if limitations mentioned are overcome improved integrating Internet Things (IOT) long-range monitoring system.