Abstract :

The IoT Enhanced Camouflage Human Detection System Is An Advanced Security And Surveillance Solution That Integrates Multiple Sensing Technologies With Internet Of Things (IoT) Infrastructure To Detect And Identify Camouflaged Human Targets In Challenging Environments. The System Employs An ESP32 Microcontroller As Its Central Processing Unit, Interfaced With An ESP32-CAM Module For Visual Detection, Infrared (IR) Sensors For Motion Sensing, And A GPS Module For Precise Location Tracking, All Powered By A Regulated Power Supply. Upon Detection Of A Camouflaged Intruder, The System Triggers A Buzzer Alarm, Displays Relevant Information On An LCD Screen, And Transmits Alert Notifications Via A GSM Module, Ensuring Real-time Remote Monitoring And Prompt Response By Security Personnel. The Proposed System Overcomes Significant Limitations Of Conventional Human Detection Methods By Combining Thermal, Visual, And Motion-based Detection Approaches, Achieving Higher Accuracy Even When Targets Employ Optical Camouflage Or Concealment Strategies. This Research Demonstrates The Efficacy Of IoT-based Multi-sensor Fusion In Security Applications, Providing A Costeffective, Scalable, And Reliable Platform For Border Surveillance, Forest Monitoring, And Critical Infrastructure Protection. Keywords: IoT, Human Detection, Camouflage, ESP32, IR Sensor, GPS, GSM, Surveillance, Multi-Sensor Fusion, Computer Vision, Real-Time Monitoring.

Published:

09-9-2026

Issue:

Vol. 26 No. 9 (2026)

Page Nos:

170 - 176

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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