AI-Enabled No Contact Voltage Detection Wristband

Nesanuri Rupesh, V Rakshit Roshan, M. Venmathi · 2025

Electrical safety therefore becomes an essential concern in both industrial and residential sectors, where even one undetected live circuit or faulty wiring can have hazardous outcomes, such as electrical shocks, damages to equipment, and fires. The common voltage detection is taking direct contact with any of the electrical components and such exposure certainly brings risk to the user and limits its usability in quite a complex environment. In this regard, the proposed AI-Enabled No-Contact Voltage Detection Wristband has put itself forth as a novel and innovative solution to this problem. By capacitive technology and machine learning algorithms, it guarantees effective voltage detection without any physical contact. The real time monitoring and predictive analysis of the system come from continuously learning from the electrical patterns to adapt to different environments. Major highlights of the system include increased accuracy and immediate hazard detection alongside a more reliable one, which shall altogether constitute a transformative device for electricians, industrial workers, and maintenance professionals. It also consists of a SOS mechanism in case of dangerous or life-threatening injury to the user. The GPS module is used to tag the users locations

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