US 12,079,975 B1
Method, system, and readable storage medium for monitoring welding camera
Quan Cen, Guangdong (CN); Zengwen Zhang, Guangdong (CN); Xinjian Li, Guangdong (CN); and Yongze Luo, Guangdong (CN)
Assigned to ShenZhen Rayshine AutomationTechnology Co., LTD., Guangdong (CN)
Filed by ShenZhen Rayshine Automation Technology Co., LTD., Guangdong (CN)
Filed on Dec. 28, 2023, as Appl. No. 18/398,410.
Claims priority of application No. 202311214718.6 (CN), filed on Sep. 19, 2023.
Int. Cl. G06T 7/00 (2017.01); G06T 7/33 (2017.01); G06T 7/73 (2017.01)
CPC G06T 7/0002 (2013.01) [G06T 7/337 (2017.01); G06T 7/74 (2017.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30108 (2013.01); G06T 2207/30168 (2013.01)] 7 Claims
OG exemplary drawing
 
1. A method for monitoring a welding camera, comprising:
determining that a device to be welded is in a welding process, and acquiring a set of images of the device to be welded;
obtaining a sharpness change rate according to the set of images by utilizing an image resolution algorithm; and
inputting the sharpness change rate into a sharpness stress mapping model to obtain a stress change of the device to be welded,
wherein the set of images comprises:
a first image of a plane to be detected containing the device to be welded before welding the device to be welded;
a second image containing the plane to be detected after welding the device to be welded;
a plurality of third images obtained by shooting the plane to be detected sequentially at a preset time interval when welding the device to be welded;
a first predicted image corresponding to a shooting time of the first image, wherein the first predicted image is obtained by mapping all images of surrounding area of a welding device corresponding to the shooting time of the first image;
a second predicted image corresponding to a shooting time of the second image, wherein the second predicted image is obtained by mapping all images of surrounding area of the welding device corresponding to the shooting time of the second image; and
a plurality of third predicted images one by one corresponding to shooting times of the plurality of third images, wherein the plurality of third predicted images are obtained by mapping all images of surrounding area of the welding device corresponding to the shooting times of the plurality of third image; and
obtaining the sharpness change rate according to the set of images by utilizing the image resolution algorithm comprises:
determining a first sharpness change rate of the plane to be detected according to the first image, the plurality of third images, and the second image:
determining a third sharpness change rate of the plane to be detected according to the first predicted image, the plurality of third predicted images, and the second predicted image; and
determining the sharpness change rate according to the first sharpness change rate and the third sharpness change rate.