On September 29, Jinrong Robotics officially launched “Zhi Han Xing,” its new vision-enabled welding solution. Vizum, one of Jinrong’s key partners, was invited to attend the launch event.

“Zhi Han Xing” integrates Vizum’s ViEye series of 3D cameras, bringing 3D vision into robotic welding and expanding the role of visual intelligence in real-world welding operations.

For welding robots, executing a programmed motion is only one part of the job. Accurately identifying the workpiece and weld seam in three-dimensional space is equally important to the success of the operation. As welding automation becomes more flexible and adaptable, vision is emerging as a critical link between the robot and the physical environment in which it operates.

The launch of “Zhi Han Xing” also highlights the growing application of Vizum ViEye in intelligent welding.

A New Approach to Robotic Welding

At the launch event, Huang Guoliang, Chairman of Jinrong Robotics, delivered a keynote address, outlining Jinrong’s continued focus on intelligent manufacturing and its ongoing efforts to advance welding automation through product and technology development.

As robotic welding moves deeper into real production environments, the industry’s challenges are evolving. The question is no longer simply whether a robot can weld, but how welding can be made easier to deploy and operate.

Workpieces vary in shape and position. Weld seams differ from one application to another. Production environments can also change from one job to the next. These variables place greater demands on a robot’s ability to acquire information from the worksite and respond accordingly.

This is where vision becomes increasingly important. By providing spatial information from the actual workpiece, a vision system enables the robot to identify weld seams and adjust its subsequent movements. The combination of vision and robotic welding is therefore becoming an increasingly integrated part of automated welding.

Enabling Robots with Vision

To address the evolving demands of welding automation, Vizum has been extending its 3D vision technology into welding applications. At the event, Dr. Dong Xiaojian, CEO of Vizum, shared the company’s approach to vision-enabled robotic welding, drawing on its experience in 3D vision and industrial applications.

Since 2023, Vizum has been developing and deploying 3D vision solutions for welding. Based on the requirements of real production environments, the company has continued to refine the technologies and products that support the entire visual workflow, from acquiring spatial information to enabling robotic operations.

In conventional welding automation, robots typically operate according to predefined programs and fixed trajectories. When workpiece positions shift or weld geometries become more complex, processes such as system deployment, hand-eye calibration, positioning, error compensation, and weld seam tracking can add significant complexity to deployment and operation.

Against this backdrop, Dr. Dong outlined six key challenges involved in teach-free welding and shared Vizum’s technical approach to addressing them.

At the core of Vizum’s approach is a simple idea: enable robots to weld more like people do—observing the workpiece, performing the operation, and making adjustments along the way. By continuously interpreting real-time visual information, the robot can adapt its operation instead of relying entirely on fixed instructions.

This is the role ViEye plays in “Zhi Han Xing.”

ViEye: Bringing 3D Vision to the Welding Process

Integrated into “Zhi Han Xing,” the ViEye series is Vizum’s 3D camera platform developed specifically for intelligent welding applications. Designed for the combined demands of precision, responsiveness, and environmental robustness, ViEye provides robots with stable and continuous 3D visual input throughout the welding process.

In welding environments, simply being able to see is not enough. Vision must be accurate, fast, and reliable under challenging conditions.

ViEye delivers high-precision, high-frame-rate 3D imaging to rapidly capture spatial information from workpieces and weld seams. It is also designed to operate in environments affected by strong light, reflections, dark or light-absorbing surfaces, and welding arc light. By reducing interference from complex lighting conditions, metallic reflections, dark materials, and arc light, ViEye supports reliable visual data acquisition on the production line.

ViEye also combines static and dynamic operating modes within a single solution.

In static mode, it supports workpiece scanning, 3D modeling, and weld seam information extraction. In dynamic mode, it captures real-time visual information during the welding process, supporting weld seam tracking and dynamic adjustments as the operation progresses.

From Seeing to Welding

With “Zhi Han Xing,” Jinrong Robotics is taking robotic welding toward a more productized and tool-oriented experience, built around the idea of “treating the welding robot as a product and making it as simple to use as a tool.”

For Vizum, ViEye provides the robot with the ability to understand the three-dimensional characteristics of real workpieces, helping reduce the complexity traditionally associated with robotic welding deployment.

According to the launch presentation, users can preset imaging positions for different workpieces. Once the system is started, vision identifies the corresponding workpiece and weld seam before the welding process begins. Rather than requiring users to perform complex operations around precisely fixed positions, the welding task can be initiated directly through the platform interface.

Here, ViEye does more than capture 3D information. It also helps establish the spatial relationship between the vision system and the robot, providing the visual reference required for subsequent operations.

Through a coordinate-origin-based visual positioning approach, “Zhi Han Xing” reduces the need for complex hand-eye calibration traditionally required in welding applications, lowering the barriers to establishing the spatial relationship between the robot and the vision system.

The robot is therefore less dependent on fixed positions defined in advance. Instead, it can use visual information from the actual workpiece to determine its position and proceed with the welding operation.

The significance of “Zhi Han Xing” lies not only in simplifying robotic welding, but also in changing how the robot interacts with the worksite. With ViEye providing real-time 3D information, the system can reduce dependence on fixed positions and predefined trajectories, allowing visual information to play a more active role in the operation.

Vision is no longer simply a source of information collected before welding starts. It is becoming part of the welding process itself—connecting observation, execution, and adjustment into a more continuous operating loop.

In this sense, 3D vision is bringing robotic welding closer to the way humans work: seeing the workpiece, making decisions, performing the task, and adjusting along the way.

Expanding the Boundaries Together

Since beginning its work on vision-enabled welding in 2023, Vizum has continued to extend 3D vision technology into real-world welding applications. The integration of ViEye into “Zhi Han Xing” represents more than the addition of a 3D camera to a welding robot. More importantly, it brings vision directly into the welding workflow—from acquiring the spatial information of a workpiece and extracting weld seam data to providing the visual input required for robotic operation.

For Vizum, welding is an important application area for bringing 3D vision into industrial environments. Its collaboration with Jinrong Robotics also demonstrates how the two companies’ respective strengths can come together in a practical application.

Jinrong contributes its expertise in robotic welding and product development, connecting automation technology with real manufacturing environments. Vizum provides 3D vision capabilities that give robots a clearer understanding of the workpiece and operating conditions.

Together, the two sides are helping move robotic welding toward simpler, more flexible, and more adaptable modes of operation.

Looking ahead, Vizum will continue to build on its 3D vision technology, deepen collaboration with industry partners, and further integrate visual intelligence into robotic operations, supporting the continued evolution of welding automation toward greater flexibility and intelligence.