Wall Hawk: An AI-Based Threat Detector for Intelligent Surveillance Camera

Journal

International Journal of Digital Applications and Contemporary Research (IJDACR)

ISSN

2319-4863

Volume / Issue

Vol.13 · Issue 10

Published

May 2025

Access

Open Access

Licence

CC BY-NC-SA 4.0

Savitha J Suman D S Rakshitha R S Jeevith S H Yogeesh M M R Maanasa

In today’s world of evolving security threats and modern warfare, there is a growing need for advanced systems that enhance situational awareness and threat detection. The "Wall Hawk" project is an AI-powered surveillance solution designed to aid counter-terrorism and military missions. It integrates microwave radar for behind-wall human detection and autonomous robots equipped for bomb and gas sensing, ensuring 360° environmental monitoring. The system combines NodeMCU and Raspberry Pi for efficient control and processing, using radar sensors, gas/metal detectors, and AI-enabled cameras for real-time weapon and explosive identification. With Python and OpenCV, it employs deep learning for accurate image analysis and threat classification. Wall Hawk reduces human risk, minimizes false alarms, and delivers rapid, actionable intelligence—making it ideal for military zones, border control, rescue operations, and high-security areas.

Threat Detection Deep Learning Bomb Detection Fog/Gas Detection Behind-Wall Scanning Autonomous Robot Military Defense Robot

Savitha J, Suman D S, Rakshitha R S, Jeevith S H, Yogeesh M, M R Maanasa (2025). Wall Hawk: An AI-Based Threat Detector for Intelligent Surveillance Camera. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.13, Issue 10. ISSN: 2319-4863.

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