Automotive Seat Surface Defect Detection

The customer needs

Automotive seat manufacturers require high-precision and high-efficiency surface defect detection to ensure product quality. There is a need to address issues of fatigue, misinspection, and missed inspections caused by manual detection. Companies hope to achieve automated detection within limited production line space while ensuring the safety of human-robot collaboration. A solution that can be quickly deployed and adapted to different vehicle models and production beats is required.

Why need Cobot do this job

1. Collaborative robots can accurately complete repetitive detection tasks, reducing human fatigue and errors.

2. Collaborative robots offer flexibility to adapt to detection needs at different angles and positions.

3. Collaborative robots have high safety standards, allowing them to work with humans without safety fences, making them suitable for limited spaces.

4. Collaborative robots can be quickly deployed and adjusted to meet varying production demands.

Solutions

1. Deploy collaborative robots equipped with 3D vision systems and customized end effectors to achieve comprehensive detection of automotive seat surfaces.

2. Utilize AI deep learning technology to analyze captured images and quickly and accurately identify defects.

3. Integrate collaborative robots into existing production lines to realize automated detection processes.

4. Provide customized software solutions to optimize detection paths and record data.

Stong points

1. High-Precision Detection: Combining collaborative robots with 3D vision technology enables the precise detection of minor defects on seat surfaces.

2. Efficient Production: Automated detection increases production efficiency and reduces production cycles.

3. Safety Assurance: Force-sensing technology in collaborative robots ensures the safety of human-robot collaboration.

4. Flexible Adaptation: The ability to quickly adjust detection programs to meet different vehicle models and production demands.

Solution Features

（Advantages of Collaborative Robots in Automotive Seat Surface Defect Detection）

Customized End Effectors

End tools designed according to different detection needs ensure the accuracy and efficiency of detection.

AI Deep Learning

AI-based image analysis algorithms can automatically identify and classify defects.

Intelligent Software Control

Optimized software systems can automatically plan detection paths and record detection data.

Human-Robot Collaboration

Collaborative robots can work safely alongside human workers.

Related Products

TM25S

- Max. Payload:25KG
  Reach:1902mm
  Weight:80.6kg
  Max. Speed:5.2m/s
  Repeatability:± 0.05mm

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