Model 1226 Bearing Roller Inspection

Model HZ-VI-CR1226
—Fully Automatic Optical Inspection Machine, 360° full-range inspection of roller surface defects (chamfers, end faces, outer diameter surfaces, recesses). Compatible with cylindrical, conical, and self-aligning rollers (12-26mm). Speed: 12,000 units/hour, 7×24h stable operation.

Products parameter

Inspection Range & Speed

Workpiece: Φ7–15 mm (OD), ≤70 mm (length)

Stable speed: 220 pcs/min

Defect Recognition Items

Efficiently identifies: scrap, rust, black skin, pitting, dents, scratches, dent size, end face size, chamfer size, electric burn, spots, surface defects, cold heading defects, over-grinding, and excess material.

AI-Powered Automated Optical Inspection Solution

AI Detection: 8 cameras (2 line-scans), 160 pcs/min (0.01mm defects).

Anti-interference: AI distinguishes noise & vibration feeding.

Efficiency: Data traceability, 5% higher yield.

Detectable defects

Product operation video

Frequently Asked Questions

Q1:What is the expected lifespan of the equipment's key vision components (such as camera, lens, and light source)?

A1：More than 3 years

Q2:How can a roller inspection machine ensure that the cleaning process does not cause secondary contamination or leave residual water stains that affect the inspection?

A2：Applying oil evenly to the roller surface makes it easier to detect defects.

Q3:Is the testing software user-friendly? Can operators easily adjust parameters, view results, and export reports without any programming knowledge?

A3：Yes,The inspection software features a 2-tier parameter level system. For general operators, the parameters are straightforward and easy to configure, requiring only simple operations. For professional users, an administrator login is available to access and adjust more advanced parameters.

Q4:Can the equipment accurately distinguish between normal textures caused by machining processes (e.g., grinding marks) and actual defects that need to be removed (e.g., cracks and pits)?

A4：Under magnification, grinding marks are relatively shallow and show minimal differences in optical imaging. They can be distinguished by adjusting the angle and direction of the light source. Currently, the inspection machine takes multiple photos by rotating the rollers to separate real defects from marks. Additionally, it integrates deep learning capabilities for secondary verification to differentiate between scratches and actual defects.

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