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@article{180170,
        author = {Bhoomika R and Siddu H R and Thanush H L and Sanjay D and Chaithrashree},
        title = {AGNINETRA :See Through Walls, Strike from the Surface},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {1579-1582},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180170},
        abstract = {This project develops an autonomous robotic 
surveillance and hazard detection system for military 
applications, integrating multiple sensing modalities to 
enhance situational awareness in hostile environments. At 
its core, a 10 GHz Doppler radar module enables through
barrier human motion detection by analyzing microwave 
frequency shifts, allowing identification of concealed 
combatants behind walls, foliage, or other obstructions at 
ranges of 5-10 meters - a critical capability for urban 
warfare, hostage rescue, and perimeter security 
operations. Complementing this, an inductive proximity 
sensor provides metallic threat detection, identifying 
landmines, IEDs, and weapon caches by sensing 
disturbances in electromagnetic fields, offering a portable 
alternative to bulkier ground-penetrating radar systems 
for counter-insurgency and demining missions. The 
platform's autonomous navigation and threat designation 
capabilities are enabled by a servo-mounted ultrasonic 
sensor that performs 90-degree environmental scans (45° 
to 135°) coupled with a laser targeting system that visually 
marks detected obstacles or hostile positions for rapid 
response team engagement. Built around an Arduino Uno 
microcontroller for real-time processing, the system 
incorporates a 100 RPM motor for controlled mobility, 3
cell Li-ion battery for portable power, and HC-05 
Bluetooth module for wireless control via military 
personnel's handheld devices, though future iterations 
would benefit from encrypted long-range communication 
protocols to prevent enemy signal interception. This multi
sensor fusion approach addresses key limitations of 
conventional surveillance methods by combining 
microwave 
penetration, 
metal 
detection, 
and 
environmental mapping in a single compact platform, 
significantly 
enhancing capabilities for covert 
reconnaissance, counter-IED operations, and intruder 
detection while reducing soldier exposure to direct threats. 
The project demonstrates how low-cost, Arduino-based 
systems can be adapted for military-grade applications, 
with potential for future enhancements including AI
based threat classification to distinguish combatants from 
civilians, swarm deployment for area coverage, and 
integration with battlefield IoT networks for real-time 
intelligence sharing},
        keywords = {Behind wall, HCOS, missile, radar.},
        month = {June},
        }