An Intelligent Flooring System for Intrusion Detection and Automated Security Response

This paper presents a project titled An Intelligent Flooring System for Instruction Detection and Automated Security Response. The main aim of this system is to improve building security by using smart floor sensors to detect human movement and automatically respond to security events. Traditional security systems such as cameras and motion detectors depend on human monitoring and may fail in low light or emergency situations. The proposed system uses pressure and force sensors placed under the floor to detect footsteps, walking patterns, and unusual movements. The system analyzes this sensor data to recognize specific instructions or actions and then activates automatic security responses such as alarms or alerts. This approach provides better privacy, faster response time, and improved safety. The system is designed to be simple, cost-effective, and suitable for smart buildings and modern security applications.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-23
DOI
https://doi.org/10.5281/zenodo.19182372
Primary Topic
Gait Recognition and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

An Intelligent Flooring System for Intrusion Detection and Automated Security Response

Siddhi Deshmukh, Prof.N.C.Yadav, Sanika Bukkam, Kiran Jamale
Zenodo (CERN European Organization for Nuclear Research)
Gait Recognition and Analysis
article

An Intelligent Flooring System for Intrusion Detection and Automated Security Response

Siddhi Deshmukh, Prof.N.C.Yadav, Sanika Bukkam, Kiran Jamale
article en

Abstract

This paper presents a project titled An Intelligent Flooring System for Instruction Detection and Automated Security Response. The main aim of this system is to improve building security by using smart floor sensors to detect human movement and automatically respond to security events. Traditional security systems such as cameras and motion detectors depend on human monitoring and may fail in low light or emergency situations. The proposed system uses pressure and force sensors placed under the floor to detect footsteps, walking patterns, and unusual movements. The system analyzes this sensor data to recognize specific instructions or actions and then activates automatic security responses such as alarms or alerts. This approach provides better privacy, faster response time, and improved safety. The system is designed to be simple, cost-effective, and suitable for smart buildings and modern security applications.

Zenodo (CERN European Organization for Nuclear Research)
Sustainable cities and communities
Openalex Percentile: Top 13%
Gait Recognition and Analysis
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