iDART-Intruder Detection and Alert in Real Time
Manish Kumar, Shubham Kaul, Vibhutesh Kumar Singh, Vivek Ashok Bohara

TL;DR
This paper presents iDART, a real-time intruder detection system that uses multiple sensors to improve security and accurately identify trespassers, alerting homeowners and authorities effectively.
Contribution
The work introduces a smart, sensor-based intruder detection system that enhances true positive identification and real-time alert capabilities over existing security solutions.
Findings
Higher accuracy in intruder detection compared to traditional systems
Effective real-time alerts sent to homeowners and authorities
Utilization of multiple sensors for comprehensive threat assessment
Abstract
In this work, we design and develop a smart intruder detection and alert system which aims to elevate the security as well as the likelihood of true positive identification of trespassers and intruders as compared to other commonly deployed electronic security systems. Using multiple sensors, this system can gauge the extent of danger exhibited by a person or animal in or around the home premises, and can forward various critical information regarding the event to home owners as well as other specified entities, such as relevant security authorities.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSmart Grid Energy Management · Smart Grid Security and Resilience · IoT-based Smart Home Systems
