ACOUSTIC GUNSHOT DETECTION SYSTEM BASED ON IOT AND ARTIFICIAL INTELLIGENCE: REAL-TIME MONITORING AND DIRECTION ESTIMATION
DOI:
https://doi.org/10.5281/zenodo.17866700Abstract
Rapid and accurate detection of gunfire events is critical for security and emergency response systems. This study proposes an acoustic gunshot detection system leveraging IoT sensors, AI algorithms, and modern microcomputers. The device employs four SPH0645LM4H-B microphones for directional detection, a TensorFlow Lite-based AI algorithm for weapon classification, and transmits real-time data to a central monitoring system. A 2-inch OLED display provides users with visual feedback on gunfire direction, type, and estimated distance. Simulation and field tests demonstrated that the system achieves 95% accuracy in direction detection and 90% accuracy in weapon classification. The device features IP67 protection and operates effectively within a 600-meter radius, ensuring reliable performance in outdoor environments
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