Angle recognition of pointer meter based on pan-tilt

Song Xin; Zeming Wang

doi:10.1117/12.2644305

9 September 2022 Angle recognition of pointer meter based on pan-tilt

Song Xin, Zeming Wang

Proceedings Volume 12328, Second International Conference on Optics and Image Processing (ICOIP 2022); 123280Z (2022) https://doi.org/10.1117/12.2644305
Event: Second International Conference on Optics and Image Processing (ICOIP 2022), 2022, Taian, China

Abstract

Pointer meters are widely used in industrial production, and it is very important to read the position of instrument pointer accurately for monitoring the running state of equipment. In view of the type of pointer meters and the environment of the factory, a method of detection of the angle of the pointer meter using the two-dimensional pan-tilt is proposed. First of all, the image pre-processing part meant to reduce the degree of interference, and then the use of Hough circle detection to find the position of dial, according to this position and the size of the image turn the pan-tilt and zoom. After the end, the image by bit and operation will be removed outside the dial, and then use Hough line detection to obtain all the lines in the image, through the distance between the straight line and the center of the circle to filter out the pointer, and finally according to the coordinates of the pointer to calculate the angle. The results show that compared with other methods, this method allows a certain distance and angle between the image acquisition device and the pointer meters, reduces the requirement of image acquisition, and successfully eliminate other interference information by bit and operation method, reduces the operating burden of the algorithm and improves the accuracy.

Citation Download Citation

Song Xin and Zeming Wang "Angle recognition of pointer meter based on pan-tilt", Proc. SPIE 12328, Second International Conference on Optics and Image Processing (ICOIP 2022), 123280Z (9 September 2022); https://doi.org/10.1117/12.2644305

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