During class lectures we presented the following knowledge: a) Insect eye architectures, advantages/limitations. b) Problems in autonomous navigation. c) FPGA-based human vision model d) Human vision model with navigation/recognition capabilities e) Salient features, preattentive, attentive model f) Machine learning and processing Techniques: filtering, edge detection, neural networks, wavelet analysis. g) Neuromorphic computer processing systems. Technical articles covering all the above areas were timely distributed. Relate one or more areas from the above knowledge, explaining how integration of those areas that lead to an improvement in biomimetic visioneuromorphic computer. Present carefully the design and operation principles of such system, device, or technique; in terms of algorithms, and/or hardware. Explain carefully the design parameters, and the outcome of the proposed study. The advantages and limitations of the proposed design