Online Product Identification System Using Artificial Neural Networks

Farahiyah Murni, Harun (2011) Online Product Identification System Using Artificial Neural Networks. Project Report. UTeM, Melaka, Malaysia. (Submitted)

	PDF (Full Text) Online_Product_Identification_System_Using_Artificial_Neural_Networks_-_Full_Text.pdf Restricted to Registered users only Download (1MB)
Preview	PDF (24 pages) Online_Product_Identification_System_Using_Artificial_Neural_Networks_-24_pages.pdf Download (3MB)

Abstract

This project was discussed about online product identification system using artificial neural networks which targeting to be operated using webcam as a means of capturing images of object and neural networks system is used to analyze and classifications object. This application will involves computer and software that based on neural system and take action in monitoring and run isolation process by consider that object staying in real time situation. The big part of the project will be the programming by using MATLAB. This system uses radial basis function neural network to identify, recognize and classify the image. The webcam acquired of an object or model and MATLAB converts that image into respective grayscale and analyzes the image using radial basis function neural network. The final outcome of this system recognition reached values up to 100% for the product classifies and also the overall computing time is comfortably short.

Actions (login required)

View Item