Machine learning in legal metrology–detecting breathalyzers’ failures
Ana Gleice da Silva Santos,
Luiz Fernando Rust Carmo,
Charles Bezerra do Prado
Abstract:Metrological control of breathalyzers used at sobriety checkpoints is done by metrological institutes or police departments to ensure the accuracy of the results. Periodic checks carried out to ensure accurate measurements are not enough, as instruments can have errors between verifications that are not detected by traffic agents. In this article, we present a new proposal to evaluate instruments using machine learning algorithms capable of detecting failures before they occur. Historical instrument measuremen… Show more
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