Realaus laiko belaidžio daiktų interneto (IoT) tinklo kūrimas ir optimizavimas taktinių smūgių aptikimui nešiojamose treniruočių sistemose
Onalan, Omer · Vytautas Magnus University · 2026
Airsoft is a competitive tactical sport in which participants engage in simulated combat using replica firearms that fire small plastic projectiles known as BBs. Currently, hit detection in airsoft relies almost exclusively on the honour system, where players are expected to self-report when struck. This mechanism introduces significant issues of inconsistency, disputes, and unfair gameplay. The goal of this thesis is to design, prototype, and evaluate a modular wearable electronic system — termed SmartVest — capable of automatically detecting high-velocity BB impacts using piezoelectric sensing technology. The system employs an ESP32 microcontroller to read analog signals from four piezoelectric sensors distributed across a wearable vest, apply threshold-based hit detection logic, and transmit hit data wirelessly via UDP over a WiFi network to a centralized monitoring interface. The methodology follows an iterative prototyping approach encompassing hardware assembly, firmware development, wireless integration, and functional testing. Preliminary results demonstrate successful impact detection across all four sensor zones with stable wireless data delivery. The thesis documents the full development cycle, evaluates system reliability, and identifies areas for future optimization including advanced signal filtering, increased sensor coverage, and real-time graphical visualization.