Threat Detection Using Long-Range Sensors and Directional Feedback Mechanisms
DOI:
https://doi.org/10.15662/IJARCST.2026.0901003Keywords:
Smart Helmet, Soldier Protection, Threat Detection, Vibration Alert, Wireless System, IoT, Wearable Technology, Military SafetyAbstract
In today’s modern world, warfare has become more dangerous and unpredictable. Soldiers not only face enemies directly but also face hidden threats like long-range gunfire, underground bombs, and drones carrying explosives. Many times, soldiers do not get enough time to understand where the danger is coming from, which leads to serious injuries or even death. A normal helmet only protects the head from physical damage. It does not give any warning about nearby danger. To solve this problem, this project introduces a Smart Helmet with a vibration band that can warn soldiers in advance. The helmet uses different sensors to monitor the surroundings continuously. When it detects a possible threat, the system sends a wireless signal to a vibration band worn on the soldier’s hand or arm. The band vibrates on the side where the danger is present, such as left, right, front, or back. This helps the soldier understand the direction of the threat without looking at any screen. By using microcontrollers, wireless modules, and IoT technology, this system improves battlefield awareness and increases the chances of survival.
References
1. R. Verma and K. Mehta, “IoT-based real-time monitoring and alert system,” IEEE Internet of Things Journal, vol. 7, no. 6, pp. 5123–5132, 2020.
2. J. Lee and H. Kim, “Multi-sensor fusion for intelligent threat detection,” Sensors, vol. 19, no. 8, pp. 1–15, 2019.
3. A. Nair and V. Joseph, “Vibration-based alert system for wearable devices,” International Journal of Electronics and Communication Engineering, vol. 12, no. 1, pp. 55–60, 2018.
4. M. Hassan et al., “Detection of aerial threats using sensor networks,” IEEE Access, vol. 8, pp. 154321–154330, 2020.
5. M. Thomas and R. Jacob, “Energy-efficient embedded systems for wearable applications,” Microprocessors and Microsystems, vol. 61, pp. 45–53, 2018.
6. L. Chen and Y. Zhou, “Real-time data processing framework for IoT-based monitoring,” Future Internet, vol. 11, no. 6, pp. 120–130, 2019.


