In the field of precision manufacturing of medical equipment, the deviation of the inner diameter size of a glass tube may directly affect the accuracy of syringe administration and test tube detection results.
A certain medical device enterprise once faced the dilemma that the inner diameter detection of glass tubes on the production line relied on manual sampling, which not only had low efficiency, but also required a large number of products to be reworked due to the error tolerance threshold of 0.5mm.
Scene requirements
Perform a full inspection of the inner diameter of medical glass tubes
Detection accuracy: ± 0.5mm (inner diameter range of glass tube from 5mm to 20mm)
Leakage rate: 0%
Field of view requirement: Single field of view covering the end face and marked points of the glass tube
Beat requirement: ≤ 0.3 seconds/piece (production line speed 120m/min)
solution
Visual Solution: Precise Collaboration from Optical Design to Algorithm Breakthrough
Configuration List
Hardware System: Creating a "Perspective Eye" Detection Platform
5-megapixel camera: black and white global shutter design, with single pixel size accurate to 0.02mm at 2448 × 2048 resolution
50mm fixed focus lens: Through precise optical calculations, it achieves a field of view coverage of 50mm × 40mm, perfectly accommodating the end face of the glass tube and traceability marking points
Zero angle circular light source: The white LED circular array is designed coaxially with the lens, effectively eliminating the interference of glass surface reflection and making the inner wall edge clear and visible
Optical design: allowing transparent materials to 'reveal their true form'
Angle control based on the light transmission characteristics of glass materials: zero degree incident light avoids mirror reflection
Algorithm breakthrough: Building intelligent detection "dual insurance"
Sub pixel edge detection: By using the Canny operator to achieve 1-pixel edge localization, the theoretical detection accuracy is improved to 0.2mm
Elliptical fitting compensation: using an improved Hough transform algorithm to automatically correct the ovality deformation of glass tubes, ensuring measurement accuracy
imaging effect
Practical data: Testing performance exceeding customer expectations
In a production line test of a medical enterprise, Meiji's visual inspection system demonstrated excellent performance:
The successful practice of this glass tube inner diameter detection scheme provides a replicable solution for high-precision transparent component detection; At present, this technology has been extended to the size measurement applications of other transparent objects.
