Once you’ve prepared for your machine vision camera evaluation, it’s time to receive the cameras and begin testing. The approach depends on the key parameters for your measurement.

A good starting point is testing with an image in a dark environment. This can help identify noise issues like fixed pattern noise. If relevant to your system, the EMVA 1288 standard can provide guidance for standardized testing procedures.

The Photon Transfer Curve (PTC) enables thorough quantitative analysis and parameter derivation but requires specialized equipment such as an integrating sphere to generate it.

If time or resources are limited, consider using independent testing laboratories as a resource. Alternatively, many camera manufacturers already have PTC data available or can provide detailed specifications like wavelength-specific sensitivity. Accessing this information can save you time while ensuring comprehensive analysis.

Step 7: Share Results

Sharing your test results with the corresponding camera manufacturer is highly beneficial. Whether positive or negative, open communication allows collaborative troubleshooting and provides deeper insights before final conclusions are drawn. Additionally, manufacturers may propose adjustments to the camera design or production process (e.g., aligning acceptance testing with incoming inspection) based on a better understanding of your challenges.

Step 8: Narrow the List and Test Multiple Copies for Final Selection

When you’ve narrowed down to the top two options, request multiple units from vendors or ask them to conduct measurements on several samples. This helps evaluate camera consistency and result repeatability. By testing multiple copies, you can ensure reliable performance across your system and make informed decisions about adjustments if needed.

In conclusion, this process should give you a clear understanding of what to expect in your application and foster a strong partnership with the vendor. Good luck!

Last Updated: 2025-09-04 19:26:00