Abstract
Some devices built into automobiles assess the driver’s alcohol status to deny or allow engine start; however, these devices do not identify the person taking the breathalyzer test, making it easy for someone else to perform a fraudulent test. This article proposes an architecture based on IoT that integrates a biometric sensor, an alcohol sensor, and a GPS module; connected to a microcontroller capable of implementing the MQTT protocol to transmit the data obtained to a server in case the allowed limit of 0.4 mg/lt is exceeded, sends an alert via WhatsApp to an emergency number with the location of the vehicle. In the experimental design, ten breathalyzer tests were carried out on drunk people whose results showed the validation of the driver’s identity through a biometric sensor. In addition, this project aims to implement security filters through biometric sensors to prevent identity theft by another person.
M. Rodriguez-Cruz, M. A. Wister, E. R. Leon-Cornelio and J. A. Hernandez-Nolasco—These authors contributed equally to this work.
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Rodriguez-Cruz, M., Wister, M.A., Leon-Cornelio, E.R., Hernandez-Nolasco, J.A. (2023). Prototype of a Breathalyzer System with Biometric Filters Based on Internet of Things for a Vehicle Blocking. In: Bravo, J., Urzáiz, G. (eds) Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023). UCAmI 2023. Lecture Notes in Networks and Systems, vol 841. Springer, Cham. https://doi.org/10.1007/978-3-031-48590-9_17
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DOI: https://doi.org/10.1007/978-3-031-48590-9_17
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