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Article - Student Track Classification of Parking Spots Using Multilayer Perceptron Networks Author: FALCÃO, H. S.; LOVATO, A. V.; SANTOS A. F. DOS; OLIVEIRA, L. S. et al. Abstract: This project intends to develop a prototype for the identification of free spots in open air parking area where there is a good aerial view without obstacles, allowing for the identification of occupied and free spots. We used image processing techniques and pattern recognition using Artificial Neural Networks (ANN). In order to help implement the prototype, we used Matlab. In order to simulate the parking area, we created a model so that we could acquire the images using a webcam, process them, train the neural network, classify the spots and finally, show the results. The results show that it is viable to apply pattern recognition through image capture to classify parking spots. Key Words: Artificial Intelligence, Neural Networks, Pattern Recognition. Complete Reference:: Falcão, H. S.; Lovato, A. V.; Santos A. F. Dos; Oliveira, L. S. et al., "Classification of Parking Spots Using Multilayer Perceptron Networks", Revista de Sistemas de Informação da FSMA n 12(2013) pp. 41-48 |