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A smart helmet equipped with machine learning capabilities is designed to enhance safety for motorcyclists by integrating alcohol detection, drowsiness monitoring, and theft prevention. The system employs sensors to detect alcohol consumption and signs of fatigue, ensuring that only alert and sober individuals operate the vehicle. Machine learning algorithms analyze data to accurately identify dangerous conditions, while theft detection features provide security by alerting owners to unauthorized usage. This approach safeguards riders, contributes to road safety, and reduces potential accidents, representing a significant step forward in intelligent safety gear technology.

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Smart Helmet with Alcohol Drowsiness and Detection of Theft Using Machine Learning

  • 会议论文

  • 发表日期：

    2026年

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  • N. Srinivas Babu,
  • S. Shashikiran,
  • Soham Bag,
  • Sanketh Sheshannanavar

摘要

A smart helmet equipped with machine learning capabilities is designed to enhance safety for motorcyclists by integrating alcohol detection, drowsiness monitoring, and theft prevention. The system employs sensors to detect alcohol consumption and signs of fatigue, ensuring that only alert and sober individuals operate the vehicle. Machine learning algorithms analyze data to accurately identify dangerous conditions, while theft detection features provide security by alerting owners to unauthorized usage. This approach safeguards riders, contributes to road safety, and reduces potential accidents, representing a significant step forward in intelligent safety gear technology.