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Our application will ensure the implementation of the Smart City concept by using computer vision and communication platforms, which enable the development of new integrated digital services. The use of video cameras could simplify and lower the costs of parking lot controls. In the aim of parking space detection, an aggregated decision was proposed, employing various metrics, computed over a sliding window interval provided by the camera. The history created over 20 images provides an adaptive method for background and accurate detection. 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(2014, January 2\u20135). Parking spaces modelling for inter spaces occlusion handling. Proceedings of the 22nd International Conference in Central Europe on Computer Graphics Visualization and Computer Vision, Plzen, Czech Republic."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Bibi, N., Majid, M.N., Dawood, H., and Guo, P. (2017, January 17\u201319). Automatic parking space detection system. Proceedings of the 2017 2nd International Conference on Multimedia and Image Processing (ICMIP), Wuhan, China.","DOI":"10.1109\/ICMIP.2017.4"},{"key":"ref_3","unstructured":"Wu, Q., and Zhang, Y. (2006). Parking Lots Space Detection, Carnegie Mellon University. Technical Report."},{"key":"ref_4","unstructured":"Cazamias, J., and Marek, M. (2016). Parking Space Classification Using Convolutional Neural Networks, Stanford University. 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