使用YOLOv7和无线电聊天通知实现实时武器识别系统

Muhammad Rizqi Sholahuddin, Firas Atqiya, Sri Ratna Wulan, Maisevli Harika, Sofy Fitriani, Yusuf Sofyan
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引用次数: 0

摘要

本研究开发了一个应用程序,当在CCTV上检测到武器物体时,可以在Telegram平台上以聊天的形式发送自动通知。这个应用程序是利用计算机视觉技术和人工智能,特别是YOLOv7创建的。经过50次epoch的训练,mAP@0.5的值为0.837,表明该应用能够以合理的准确率检测人、手枪、刀具等武器对象。此应用程序还链接到远程通信库,这使它能够在Telegram平台上发送聊天记录。这些应用程序可以帮助增强各种环境中的安全性,并在公共安全、执法等领域具有许多实际应用。但是,本研究仍然存在不足,可以在未来的研究中加以解决,例如训练epoch的数量少,数据集的大小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementasi Sistem Identifikasi Senjata Real Time Menggunakan YOLOv7 dan Notifikasi Chat Telegram
This research produces an application that can send automatic notifications in the form of a chat on the Telegram platform when a weapon object is detected on CCTV. This application was created utilizing computer vision technology and artificial intelligence, in particular YOLOv7. As demonstrated by the mAP@0.5 value of 0.837 after 50 epochs of training, this application can detect weapon objects such as people, pistols, and knives with a reasonable degree of accuracy. This application is also linked to the telepot library, which enables it to send chats on the Telegram platform. These applications can aid in enhancing security and safety in a variety of environments and have numerous practical applications in fields such as public safety, law enforcement, and others. However, there are still deficiencies in this study that can be addressed in future research, such as the small number of training epochs and the size of the dataset.
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