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In summary, this project seeks to explore the science behind Neural Networks (NN), its various flavours, application areas and then finally, narrow down by applying it in the design and development of a computer vision system which can be used for traffic sign recognition and detection in autonomous vehicles. The project starts off by designing, developing, implementing and testing a model of the proposed vision system on a CPU using MATLAB and then afterwards, the performance of the implemented vision system is further optimized through vectorization, parallelism, legacy coding and heterogeneous computing. The project is concluded with detailed analysis and evaluation of the various optimization schemes utilized as well as an evaluation of the excellent Neural Network’s classification accuracy.