In the field of precision optics manufacturing, the surface contour of lens is the core parameter that determines the optical performance. Whether it is eyeglass lenses, camera lenses or industrial optical components, the surface accuracy directly affects imaging clarity, optical path design and product adaptability. However, traditional contact measurement methods (e.g. CMM) are prone to deformation of flexible lenses due to probe pressure, and single-point acquisition efficiency is low, making it difficult to meet the demand for non-destructive testing and high throughput in modern manufacturing.

Pain points in lens surface inspection:

1. Non-rigid materials (e.g. resin, PC) are prone to elastic deformation during contact measurement, resulting in data distortion;

2. Complex free-form surfaces require intensive sampling, which can take hours with conventional equipment;

3. Thickness and contour correlation measurements require multiple clamping, further reducing efficiency.

POMEAS Image Dimensioner deeply integrates spectral confocal technology with AI algorithms to penetrate reflective interference on the lens surface and accurately capture contour changes at the 0.1μm level.

1. spectral confocal technology: through the precise focusing of light signals of different wavelengths, it realizes sub-micron vertical resolution, and can directly scan the surface morphology through transparent lenses, avoiding contact interference;

2. non-contact high-speed scanning: a single shot can obtain millions of 3D point cloud data, and complete the reconstruction of complex surfaces within 1 second, which is dozens of times more efficient than traditional methods;

3. multi-parameter integrated detection: synchronous output of contour error, center thickness, spherical radius and other key indicators, eliminating multiple clamping errors.

Test Results: