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
