Research on indoor anti-theft system based on YOLOv5

Sipu Wang

doi:10.1117/12.2652714

20 October 2022 Research on indoor anti-theft system based on YOLOv5

Sipu Wang

Proceedings Volume 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022); 1235006 (2022) https://doi.org/10.1117/12.2652714
Event: 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 2022, Qingdao, China

Abstract

With the continuous development of society, indoor monitoring is increasingly widely used. At present, video surveillance mainly uses artificial real-time monitoring or post-monitoring to check indoor conditions and people. This paper describes the components and working principle of YOLOv5, and uses YOLOv5 algorithm to conduct network simulation and training for indoor common targets. Through the indoor photography head to collect the scene, using YOLOv5 algorithm to process the original photos, when there is an abnormal person in the image, the system will issue an alarm to remind the owner to deal with it in time. The experiment shows that the system can respond the indoor situation economically, quickly and effectively and meet the demand of indoor anti-theft.

Citation Download Citation

Sipu Wang "Research on indoor anti-theft system based on YOLOv5", Proc. SPIE 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 1235006 (20 October 2022); https://doi.org/10.1117/12.2652714

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available