Movement Based Intelligent Video Surveillance System

Computer Engineering

In this modern world, everyone are susceptible and situations are unpredictable.So, the necessity for security system has become inevitable.But the difficulty in maintaining the data is increasing due to its size. A huge number of drives are used for this data storage.on account of this systems,we proposed methods helps to minimize the recording data to store.we also proposed cryptographic security mechanisms for converting the visual into data.In the proposed system the camera will remain in ON state but will not store the data unless a Human Motion is Detected. Once the human motion is detected and the recording is started. The recording stops when the Human Motion is stopped. The deep learning technique CNN(Convolution Neural Network) is used to detect anomaly and object at the initial stage from the input video.The Main work is converting the video storage into text and retrieving the original video from the text with help of Block chain.

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