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.
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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
Great work, very educative. For the frontend, you made mention of using NA. What is the NA.
NA means not applicable.
There is no link available to download the source code. Please help.