Model 3060 Bearing Inspection

Model 3060 Bearing Inspection

Model HZ-VI-BB3060
—Integrating 2D/3D vision technology with self-developed industrial 3D cameras and inspection algorithms, achieving 360° all‑round detection of bearing surface defects (chamfers, end faces, outer diameter surfaces, covers, inner holes). Compatible with rubber seals, metal shields, and open‑type bearings, size range 30‑60mm, speed 2‑3.5s/pcs, 7x24h stable operation.

 

 

 

Products parameter

 

 

Inspectable Dimensions​

OD:​ φ30–60mm  Thickness:​ ≤60 mm

Inspection Speed:​ 2-3.5 s/pcs

Inspection Items

2D Defects​

Floating covers, bursting, curled edges, cover-ring gaps, inner/outer ring defects, chamfer issues (existence/size), rust, black skin, mixed covers, missing characters, surface cracks, scratches.

3D Defects​

Dust cover surface dents (iron/plastic) (<0.03 mm accuracy), floating height.

product-790-500

product-835-541

Intelligent 3D Visual Inspection Solution

Flexible software platform:​ Highly configurable, adapts to multiple product types.

High-Precision 3D Vision

Captures micro‑deformation/dents in bearings, overcoming slow‑change detection limits.

 

 

 

 

 

Detectable defects

 

 

-1

Irregular outer ring chamfer

2

Pits

3

Black spots

3

Abnormal internal chamfer

5

Black spots in the inner ring

6

Black spots

7

Outer ring wasteOut

8

Inner ring waste

 

 

 

 

Product operation video


 

 

 

 

 

 

Frequently Asked Questions

 

product-576-387

 

Q1:What is the cycle time of the entire inspection line? Can it meet the efficiency requirements of our production line with an annual output of one million sets of bearings for online full inspection?

The cycle time varies depending on the size of the bearing. Please refer to the technical parameters for specific details.

Q2:Does the equipment have data statistics and analysis functions? For example, automatically generating pass rate reports and defect type distribution charts, and supporting data export?

The pass rate can be exported daily or by batch. Defect type distribution charts have not been developed yet, but we can proceed with the development if there is a specific user requirement; the development time would be approximately one week.

Q3:How sensitive is the equipment to detecting minor defects such as rust on the bearing surface? How can we avoid misidentifying oil stains as hard damage such as dents?

Sensitivity can be adjusted through parameters, and this can be addressed using deep learning algorithms.

Q4:For bearings with dust covers, seals, and other accessories, can the equipment check the assembly, missing parts, or damage of these accessories simultaneously with the visual inspection?

Yes, as long as it's reflected in the appearance.

 

 

 

 

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