HYBRID TECHNOLOGIES FOR COMBATING KIDNAPPING
DOI:
https://doi.org/10.33003/fjs-2026-1002-4386Keywords:
Kidnapping, GPS transmission, IoT paradigm, Digital Image Processing, Noise, Over Segmentation, Under SegmentationAbstract
Kidnapping is a growing concern globally with devastating impacts on individuals, families and communities. Traditional law enforcement methods often struggle to effectively prevent and respond to kidnapping cases. This article shows exponential increase in how utilizing IoT and its technologies to combat human kidnapping. IoT design, geo-fencing, API integration, and GPS signal formed the backbone of the proposed model. While the GSM base stations provide signals for the model, the frontends are the mobile phone devices, application interface, and the GPS. The location signal is transmitted to the server when the case enters or exits the geofence for movement and direction tracing. The IoT paradigm hosts the web application, MySQL and GMS are used to provide backend solutions, and the GPS guarantees communication and placement of the case on the search map. The implementation involved suitable platforms and engines and followed up with case study of kidnapping scenarios involving 40 randomly selected cases showing path tracking 77%, GPS accuracy 85%, internet data conservation as 76% and concealability as 68% from conducted surveys. This research developed the practical function of the model and its good performances in areas of availability, concealment, security, location accuracy, seamless data transmission, among others. Comparative analysis with related works also developed the relative strength of the new method.
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