Download Video Surveillance Project Source Code

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Deep Surveillance with Deep Learning – Intelligent Video Surveillance Project

Learn how to create a deep learning model for video surveillance. We will analyze the video feeds in real-time to identify abnormal events like violence, security breaches, theft, etc.

We train an autoencoder for abnormal event detection. Now, we identify the abnormal events based on the euclidean distance of the custom video feed and the frames predicted by the autoencoder.

Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Do you want to master deep learning, work on these amazing Deep Learning projects.

Category: Deep Learning, Machine Learning, AI

Programming Language: Python

Tools & Libraries: spatial temporal encoders

IDE: Google Colab

Front End: NA

Back End: Python

Prerequisites: Python, Deep Learning, Machine Learning

Intended Audience: Education, Developers, Data Scientists, AI professionals

Video Surveillance Project Code Download

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DataFlair Team

The DataFlair Team provides industry-driven content on programming, Java, Python, C++, DSA, AI, ML, data Science, Android, Flutter, MERN, Web Development, and technology. Our expert educators focus on delivering value-packed, easy-to-follow resources for tech enthusiasts and professionals.

3 Responses

  1. Maxwell says:

    Great work, very educative. For the frontend, you made mention of using NA. What is the NA.

  2. Niyati says:

    There is no link available to download the source code. Please help.

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