Suspicious Activity Detection Python Project
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About Project:
In this project we need to detect person behaviour as suspicious or not, now a day’s every where CCTV cameras are installed which capture videos and store at centralized server and manually scanning those videos to detect suspicious activity from human required lots of human efforts and time. To overcome from such issue author is asking to automate such process using Machine Learning Algorithms.
To automate that process first we need to build training model using huge amount of images (all possible images which describe features of suspicious activities) and ‘Convolution Neural Network’ using TENSOR FLOW Python module.
Then we can upload any video and then application will extract frames from uploaded video and then that frame will be applied on train model to predict its class such as ‘suspicious or normal’.
To implement above concept we need to install python 3.5 version in 64 bit laptop.
Libraries Used:
tensorflow
numpy
scipy
opencv-python
pillow
matplotlib
h5py
keras
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