Intellicam: A Self-Optimizing Approach to Detect Burglary using Machine Learning
Year: 2025
Type: conference-paper
Abstract: Over a period of time use of security cameras became very important for security concerns. These cameras are installed in house, offices, banks, etc. to prevent burglary, house breaks, theft and intrusion but still these cameras are not that powerful and advance. Intellicam is advance and intelligent AI based security camera with much more better features. This camera automatically detects the burglary by capturing face as well as motion. It uses haar-cascading algorithm for detection which works very accurately. It uses strong libraries which makes it detect every small movement and differentiate between human motion and any other. It has a quick response which automatically triggers the automatic video recording and alarm sound. In this use of twilio helps in notifying the user about burglary by SMS, email, call etc. this system is very fast and shows an accuracy of 98.1%.
Source: Procedia Computer Science
Authors: Aditya Chandra, Divya Mishra
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410301021
