Robotics Vision · 2026-07-19

DaoAI 3D Robot Vision Empowers Automotive Fastener Tightening

Leveraging Embodied Data to Upgrade Automotive Parts Production

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DaoAI 3D Robot Vision Empowers Automotive Fastener Tightening
Robotics Vision · DaoAI AI vision

Against the backdrop of the financing boom in the embodied data market, robot vision technology has ushered in new development opportunities. DaoAI 3D robot vision product of WeLinkirt brings an efficient solution to the fastener tightening process in the automotive/parts industry.

<0.2%Missed detection rate
-80%Reduction of false alarm rate
5minChange - over time

User Scenario: On the production line of a leading automotive parts supplier, it is responsible for the assembly of automotive engine blocks. In this process, multiple fasteners on the engine block need to be tightened. The detection objects are bolts and nuts of various specifications. The tightening quality of these fasteners directly affects the performance and safety of the engine, so the accuracy and stability of the tightening process are highly required.

Pain Points: The financing boom in the embodied data market has promoted the rapid development of robot vision technology. However, the supplier still faces many difficulties in the fastener tightening link. Traditional tightening operations rely on manual labor, which is not only inefficient but also prone to missed detections and false alarms. According to statistics, the missed detection rate of manual operation is as high as 3%, and the false alarm rate also reaches 5%. As a result, a large number of products need to be re-inspected, increasing production costs and time. In addition, with the continuous update of product models, the long change-over time is also a prominent problem. Each change-over takes 30 minutes, seriously affecting production efficiency. At the same time, in the current trend of intelligent manufacturing, meeting compliance requirements has become increasingly important for suppliers.

Technical Principle

DaoAI 3D robot vision uses a self-developed 3D camera combined with an advanced 6D pose estimation algorithm to accurately obtain the three-dimensional spatial information of fasteners. Its imaging principle is based on structured light technology. By projecting a specific structured light pattern onto the target object and using the camera to capture the reflected light, the three-dimensional morphology of the object is reconstructed. In terms of hardware, the 3D camera has high resolution and high precision, which can capture tiny detail changes. This technology is effective because it can accurately identify the position and posture of fasteners in a complex industrial environment, providing accurate guidance for subsequent tightening operations. At the same time, through the closed-loop control mode of brain-eye - body, the robot can adjust its actions in real-time according to the information fed back by the vision system, achieving sub-millimeter hand-eye coordination.

  • Structured light technology: Reconstruct the 3D morphology by projecting a specific pattern and using the reflected light.
  • 6D pose estimation algorithm: Accurately calculate the position and posture of fasteners.
  • Brain - eye-body closed-loop control: Realize real-time feedback and action adjustment.
  • Sub - millimeter hand-eye coordination: Ensure high precision of tightening operations.

WeLinkirt Solution and Product

Centered on DaoAI 3D robot vision, WeLinkirt provides a complete solution. This product has the function of disordered bin picking, which can accurately pick the required fasteners from a messy bin and place them at the specified tightening position. In terms of glue application, assembly, and loading/unloading guidance, it can also provide accurate visual information to ensure the efficient operation of the entire production process. At the same time, combined with the unified base of DaoAI World model, semantic understanding and cross-scene generalization are realized, enabling the system to quickly adapt to the production needs of different product models. In terms of implementation, WeLinkirt provides various deployment methods such as SDK, API, and Docker, supporting 100% local private deployment to ensure that data does not leave the factory. In addition, it can be seamlessly integrated with the supplier's existing production system, reducing the transformation of the existing production line.

DaoAI 3D robot vision realizes high precision and high efficiency in automotive fastener tightening with advanced technology.

Quantitative Results: By introducing the DaoAI 3D robot vision system, the supplier has achieved remarkable results. The missed detection rate has been reduced from 3% to <0.2%, and the false alarm rate has been reduced by -80%, greatly reducing the re-inspection volume of products. The change-over time has been shortened from 30 minutes to 5 minutes, improving production efficiency. At the same time, the accuracy of the tightening operation reaches the sub-millimeter level, ensuring product quality.

FAQ

Can DaoAI 3D robot vision adapt to fasteners of different specifications?

Yes. This product combines the DaoAI World model to achieve semantic understanding and cross-scene generalization, and can quickly adapt to the production needs of fasteners of different product models and specifications.

Will deploying the DaoAI 3D robot vision system affect the existing production line?

No. WeLinkirt provides various deployment methods, supports 100% local private deployment, and can be seamlessly integrated with the existing production system, reducing the transformation of the production line.

What level of accuracy can the tightening operation reach after using this system?

After using this system, the accuracy of the tightening operation can reach the sub-millimeter level, effectively ensuring the product quality of automotive engine blocks and other parts.

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