A New Approach For Industrial Product Inspection Based On Computer Vision And Image Processing Technique

Mohd Khairuldin, Hassan (2014) A New Approach For Industrial Product Inspection Based On Computer Vision And Image Processing Technique. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Product quality inspection is became a major issue in production and industrial. Quality is commonly related with product and it is very important to satisfy the customer’s desire. It is important to maintain the product quality before sending to customer. This project presents an automatic system for product inspection based on computer vision and image processing technique. For the proposed system, soft drink beverage is been used as product that to be tested for quality inspection. The offline system was created to inspect the product based on color and level water quality inspection. A technique for classify the color of product in digital color images is analyzed. The system used Otsu’ method and quadratic distance classifier to classify the product based on color. For level, the coordinate of image is set to measure the range of water level. All the images for this system has been taken by using digital color camera and save in hard disk for experimental setup. Afterwords, real-time field testing of this system is done by using a web-cam digital camera. Matlab software and its image processing toolbox have been used in the image processing and analysis stage. Graphic User Interface (GUI) for beverage inspection and system by using Matlab software version 7.8.0.347 are achieved. 100% accuracy have been archieved for both offline and online system.

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