Diffuse shadowless lightIt’s not about creating strong contrasts; rather, it’s more like first flattening out those pesky reflections and shadows.

In many on-site debugging sessions, the bottleneck isn't the algorithm itself—it's the very first image. If the target doesn't appear in the image, subsequent adjustments to thresholds, filters, and models will become extremely difficult.

Sticker Character Defect Detection

This case is testing...Sticker Character Defect DetectionA sample can be simply understood as...Printed Sticker Character Detection, material/surface properties can be categorized asThin films/flexible materials.

The most troublesome point on site is:Reflection interferenceThe effective solution is:Diffuse shadowless lighting.

The issue of reflections cannot be solved simply by increasing exposure; the key lies in controlling the proportion of direct reflections that enter the lens.

Diffuse, shadowless light wraps the sample in softer illumination, reducing localized highlights and shadows.

The last thing to look at isn't how beautiful the parameters are, but whether the results have become more stable: highlighting characters and eliminating reflections.

Such schemes also have limitations: diffuse illumination may obscure subtle height differences, so it needs to be verified in comparison with dark-field or directional lighting.

Nozzle QR Code Detection

This case is testing...Nozzle QR Code DetectionA sample can be simply understood as...Nozzle, material/surface properties can be categorized asGeneral industrial sample.

The most troublesome point on site is:Reflection interference, insufficient contrastThe effective solution is:Diffuse shadowless lighting.

The issue of reflections cannot be solved simply by increasing exposure; the key lies in controlling the proportion of direct reflections that enter the lens.

Diffuse, shadowless light wraps the sample in softer illumination, reducing localized highlights and shadows.

The last thing to look at isn't how beautiful the parameters are, but whether the results have become more stable: After separating the characters from the background, the recognition process becomes much more stable.

Such schemes also have limitations: diffuse illumination may obscure subtle height differences, so it needs to be verified in comparison with dark-field or directional lighting.