Abstract

We are implementing a project for memory optimization for video surveillance with the help of human motion happening in the surrounding in the warehouse and also will be able to playback the recorded video which will only have the human motion recorded video and images will be click continuously after a fixed interval of time to get a view when there is human motion or no human motion images will be always clicked and stored. This system is based on IoT (Internet of Things). It has a Raspberry Pi (RPI), Camera module to detect human (thief) or detection of fire. Motion detection is a process of confirming a change in the position of an object relative to its surroundings or the change in the surroundings relative to an object. Generally, motion detection is useful in real-time or active surveillance systems. IN this paper the main focus is given to the processing of the captured video data to detect human motion in it. So that it is easy for the user to view images and videos whenever he wants. So this system is very useful to maintain a warehouse and memory optimization will be done.

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