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About Intelligent Surveillance System Using Deep Learning 1
This document describes a project to develop an intelligent video surveillance system using deep learning techniques. The system aims to detect abnormal or suspicious activities from CCTV footage in order to stop crimes from happening and ensure public safety. It uses convolutional neural networks to extract features from video frames and recurrent neural networks to classify and process video streams without human intervention. The system is intended to monitor locations like banks, hospitals and ATMs, and alert authorities if abnormal activity is detected so actions can be taken. It will be implemented using Python libraries on a system with minimum specifications.
Detailed Information
| Author: | ['Varun Mittala'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 9 |
| Language: | English |
| Format: | |
| Price: | FREE |
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