Vision System Based Product Sorting Machine

Siti Norsarah , Abdul Rashid (2010) Vision System Based Product Sorting Machine. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

This project was discussed about the 'Vision System Based Product Sorting Machine', is targeted to be operated using webcam as an object detector and based system to analyze and classifications object. The application will involve a one software and computer where will be a based system and able to monitor and control sorting process regardless they are in real or not real time. The big part of the project will be the programming (probably using Matlab). This system uses morphological based approach and neural network method to identify, recognize and classify the image. The webcam takes a picture object or model and based system converts that image into respective black and white picture and analyzes the image using morphological based approach and neural network. The final outcome of this system recognition reached values up to 100% for the bottles classify and also the overall computing time is comfortably short.

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