As a whole, welding is a very important key process in traditional manufacturing, and it is widely used in many scientific and technological fields such as automobile manufacturing, aerospace, ship manufacturing and construction.With the development of science and technology, traditional welding methods in the past have gradually exposed problems such as inefficient efficiency and insufficient accuracy. Therefore, weld tracking technology that uses industrial camera vision solutions to improve weld quality has also emerged to achieve a welding process that is incompletely competent by manual labor.

Frequently Asked Questions in Traditional Welding Process

(1) Complex environmental structure: some environments have small space locations and complex structures, and multi-layer structures are not easy to observe the shape and welding parts of the weld;

(2) Due to the high accuracy requirements of materials: in the face of some high-strength or characteristic alloy materials, they have high requirements for welding heat input and weld quality, and need to control thermal deformation and stress concentration during the welding process;

(3) Low efficiency caused by manual intervention: When encountering some large sizes, the welding path and welding state quality cannot be understood in real time, and manual participation is often required, resulting in problems such as difficulty, low efficiency, and time consumption;

Challenges in the visual application of industrial camera welds   

(1) Complex working environment: There are complex environments such as high temperature, strong light, smoke and dust during welding, which pose a threat to the stable operation of industrial cameras.High light can cause overexposure of images captured by the camera, while smoke may block the camera's line of sight and affect image quality.

(2) Limitations of image processing technology: Although image processing technology has made great progress, it is still challenging to process large numbers of high-resolution images in real time during welding.Especially in high-frequency real-time monitoring, processing speed and accuracy are often difficult to take into account.In addition, the diversity and complexity of weld defects also put higher requirements on image processing algorithms.

In response to the above problems and challenges, Yunji Technology uses its own technological research and development and visual application development advantages to dig deep into the industry's pain points and needs. The core of the weld visual tracking technology developed is the real-time identification of weld features and its feature extraction. Only by accurately identifying different types of weld features and extracting them into data information recognized by the welding robot can we not rely on manual intervention during the welding process, so that the welding robot can adjust the real-time trajectory according to the weld form by itself, so as to adapt to different welding occasions and achieve rapid welding production in small batches, multiple occasions, and multiple tasks.

Weld tracking technology for industrial camera vision applications

Yunkey Technology (www.cldkey.com) This weld visual tracking system independently developed is a tracking system that fully utilizes the high flexibility of the welding robot, and uses laser displacement sensors and Yunkey Technology industrial cameras to automatically identify gaps and guide welding.It has the following advantages:

(1) High visual recognition accuracy, and can obtain the size and position changes of the weld in real time;

(2) Timely adjustments in the face of changes in the weld to ensure the quality of the welding process;

(3) No manual intervention is required to adapt to various complex environments;

(4) High recognition rate, low error rate, and improve production efficiency;

(5) Full-process visual monitoring to understand the welding situation in real time;

(6) Strong scalability, perfect compatibility with other welding monitoring systems;