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The present work deals with the development of a IoT face recognition artificial intelligence-enabled robot that can recognize faces with good accuracy by generating a facial landmark encoding of the inputted image and leveraging the autonomous data collection, sensor adaptabilities and connectivity of IoT systems. This finds application in a wide range of domains including surveillance and security systems, biometrics and attendance systems and errand-bots.

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IoT-Based Face Recognition Robot Implementation for Surveillance Applications

  • 会议论文

  • 发表日期：

    2026年

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  • Ram S. Iyer,
  • Ashutosh Tripathi,
  • Sajal Agarwal

摘要

The present work deals with the development of a IoT face recognition artificial intelligence-enabled robot that can recognize faces with good accuracy by generating a facial landmark encoding of the inputted image and leveraging the autonomous data collection, sensor adaptabilities and connectivity of IoT systems. This finds application in a wide range of domains including surveillance and security systems, biometrics and attendance systems and errand-bots.