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International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering
International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering A monthly Peer-reviewed & Refereed journal
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← Back to VOLUME 10, ISSUE 6, JUNE 2022

Intruder Detection System

Sathisha G, Anjali Sharma, Avinash Kumar, Manish Kumar Mishra, Sahil Bhuwalka

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Abstract: The system proposed is a solution for securing any physical system at a particular place. Deep Learning has been used to develop the system. We have used Viola Jones’s one of the facial features-based face(s) detection algorithm, along with Local Binary Pattern Histogram (lbph) algorithm for face recognition to recognize whether it’s an intrusion or not. Open CV has been used for computer vision for image processing. The result of the proposed system shows that the system is able to detect all the faces trying to come inside the secured area and recognize the intruders, along with sending a notification to the owner or the required authority and activate the alarm on intrusion. This IDS can also be used for observational purposes.

Keywords: Viola Jones, Open CV, IDS, Linear Binary Pattern Histogram, Haar Cascade

How to Cite:

[1] Sathisha G, Anjali Sharma, Avinash Kumar, Manish Kumar Mishra, Sahil Bhuwalka, “Intruder Detection System,” International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2022.10632

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