A Comprehensive Survey on INTELLICCTV: An AI based CCTV Camera Surveillance System

Upon day to day observation as well as crime rates chart analysis we can conclude that crime rates are increasing day by day with increase in population. Criminals are finding multiple ways to accomplish their monetary needs like for e.g Child Trafficking, Kidnapping, Murdering, trading of morphine and content that can damage teenagers and adults severely. Police agencies and crime control organisations are finding multiple ways to stop these things. One of them is by using CCTV camera surveillance and some of its drawbacks are: No alert and notification, no parallel image processing , chances of human error. Also, the traditional CCTV camera surveillance systems often fail to detect crime patterns successfully. So we are contributing by developing AI Based CCTV camera surveillance. This system involves enhancing accurate detection and conclusion of crime and people involved at the spot by using most advanced image processing techniques with the most suitable machine learning classifier. Also one of the advantages is , instead of manual monitoring this system involves automated real time detection and response. We will be using the VGG-16 Neural network for image processing which allows image processing to be done more accurately. The model is currently trained with weapons and action dataset to monitor the crimes in real time more precisely.The database we will be using is MongoDB.

Authors

Publication Details

Published
2024-11-18
DOI
https://doi.org/10.1109/icdici62993.2024.10810841
Citations
1
Primary Topic
Remote Sensing and Land Use
Type
article
Field-Weighted Citation Impact
0.38
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article

A Comprehensive Survey on INTELLICCTV: An AI based CCTV Camera Surveillance System

Sonali Rangdale, S. R. Sathe, Pournima More, Shailesh Vitthalrao Bhalerao et al.
1 citations
Remote Sensing and Land Use
0.38
article

A Comprehensive Survey on INTELLICCTV: An AI based CCTV Camera Surveillance System

Sonali Rangdale, S. R. Sathe, Pournima More, Shailesh Vitthalrao Bhalerao, Mayuresh Joyashi, Laxman Khandagle
article en
1 citations

Abstract

Upon day to day observation as well as crime rates chart analysis we can conclude that crime rates are increasing day by day with increase in population. Criminals are finding multiple ways to accomplish their monetary needs like for e.g Child Trafficking, Kidnapping, Murdering, trading of morphine and content that can damage teenagers and adults severely. Police agencies and crime control organisations are finding multiple ways to stop these things. One of them is by using CCTV camera surveillance and some of its drawbacks are: No alert and notification, no parallel image processing , chances of human error. Also, the traditional CCTV camera surveillance systems often fail to detect crime patterns successfully. So we are contributing by developing AI Based CCTV camera surveillance. This system involves enhancing accurate detection and conclusion of crime and people involved at the spot by using most advanced image processing techniques with the most suitable machine learning classifier. Also one of the advantages is , instead of manual monitoring this system involves automated real time detection and response. We will be using the VGG-16 Neural network for image processing which allows image processing to be done more accurately. The model is currently trained with weapons and action dataset to monitor the crimes in real time more precisely.The database we will be using is MongoDB.

Openalex Percentile: Top 37%
Remote Sensing and Land Use
0.38
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A Comprehensive Survey on INTELLICCTV: An AI based CCTV Camera Surveillance System — Sonali Rangdale, S. R. Sathe, et al. · (2024) | TGRS Research Map | TGRS