کنفرانس بین المللی کنترل ، ابزار دقیق و اتوماسیون

صفحه اصلی / نهمین کنفرانس بین المللی کنترل ، ابزار دقیق و اتوماسیون

Analysis and design of the detection and control system of authorized and unauthorized users using Internet of Things and machine learning

نویسندگان :

Negar Sarshar¹ Ali Nasiri²

1- دانشگاه صنعتی قم 2- دانشگاه تربیت مدرس

کلمات کلیدی :

Internet of things،machine learning،machine vision،security،theft detection

چکیده :

In this article, a system has been designed using the Internet of Things and machine learning to detect equipment theft, monitor the entry and exit of people, as well as monitor people's activities to prevent equipment theft and provide security to the environment against possible theft. By using the motion detection sensor and the push buttons installed on the entrance doors, the entry and movement of people are monitored in real-time. Then, with machine vision and image processing algorithms, known and unknown people are cleaned and if necessary, a warning message including the video of the person's presence in the environment along with the person's image is sent to the relevant official. Also, the security doors will be locked until the relevant official confirms the safe situation.

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