Smart City Real-Time Low Cost Surveillance System based on Raspberry Pi
نویسنده
چکیده
Smart cities seek to build the surveillance systems in order to improve the efficiency of urban spaces while reducing costs and resource consumption. There are several defects in the video surveillance system, such as: picture is indistinct, anomalies cannot be identified automatically, a lot of storage spaces are needed to save the surveillance information, and prices remain relatively high. This paper describes the novel design of a smart city low-cost surveillance system based on Raspberry Pi, a single board computer which follows Motion Detection algorithm written in Python as a default programming environment. In addition, the system uses the motion detection algorithm to significantly decrease storage usage and save investment costs. Keywords—Smart city surveillance; Raspberry Pi; Motion Detection
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