YOLOv5-based automatic targeting system for police

RuiXi Liu

doi:10.1117/12.2646784

7 September 2022 YOLOv5-based automatic targeting system for police

RuiXi Liu

Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 123292T (2022) https://doi.org/10.1117/12.2646784
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China

Abstract

The computer vision-based automatic aiming system is proposed for the problem that the accuracy of firearms and other devices decreases due to psychological and environmental factors during the confrontation between police and criminals. The scheme first performs processing operations such as semantic segmentation and edge detection on 8,571 images and then obtains a training model by the YOLOv5 algorithm. Finally, the trained model is used for image verification and real-time detection to effectively track targets and mark the killing range. The experiments show that the system has the effect of improving shooting accuracy and can provide theoretical support for the subsequent development of assisted shooting hardware.

Citation Download Citation

RuiXi Liu "YOLOv5-based automatic targeting system for police", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 123292T (7 September 2022); https://doi.org/10.1117/12.2646784

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