5 reasons for quality control

Experience shows that the quality of the photos taken via Photo Collect is generally good and a large proportion of the images can be used for an ID card. The automatic quality checks and manual quality control also contribute to this.

Automatic quality checks

Automatic quality checks detect the most common errors as soon as the photos are uploaded and make it possible to request a better photo immediately. For example, faces that are too close to the edge of the image (the head is cropped at the top), a sideways head position (looking left or right) or an unfavorable camera position (frog or bird's eye view) are automatically detected and objected to. The automatic quality check is triggered in about 5.5% of the uploads, in 74% of the cases the first corrected photo is already accepted. After four attempts, the quality check is overridden and the photo is accepted for upload. After the automatic quality check, the manual quality check is an important component of Photo Collect.

Manual quality control

In manual quality control, each uploaded photo is reviewed by a person and either accepted or rejected. Usually this work is done by the customer, often by the HR department, corporate security or the ID card office. If a photo does not meet the requirements, it can be rejected with a reason for rejection. The person from whom the photo was uploaded is then automatically informed of the rejection reason by e-mail or SMS and can submit a better photo later.

Quality control is optional and can be skipped if required. However, we highly recommend performing this step. Here are the five reasons why:

1. Cost: It is much cheaper to reject a photo at this point than to have to re-produce the badge later because the photo is not satisfactory.
   
2. Time: Rejected photos are usually quickly replaced with a new photo. Since communication is fully automated, this takes virtually no time. The quality control itself is very fast, we calculate less than one second per photo. Quality control can also be carried out in parallel in a team - this allows enormous quantities of photos to be checked in a very short time.
   
3. Useful tips: With the rejection notice, the uploading person receives tips on how to avoid this very rejection. Was the illumination poor? Make sure there is sufficient light from the front and take the photo during the day. If the image quality is insufficient: clean the cell phone surface before taking the photo.
   
4. High success rate: In 98% of the cases, the quality control results in a usable image. Usually 90% of all photos can be used on the first upload, 80% on the second attempt, and 50% on the third and final attempt. After that, the employee is usually captured via the Photo Collect app.
5. Higher satisfaction: It's easier to submit the photo digitally on the second try than having to deal with capture in the card office or an analog submission. And with no media disruption, it's usually much faster, too.
6. Manual post-processing: Okay, we only wanted to mention five reasons, but here's a bonus reason: In quality control, the images can be post-processed if necessary. Rotation, cropping, brightness and contrast can also still be adjusted manually - this is only done for 1% of all photos, but our customers appreciate the option of not having to use an external tool for this.

Conclusion

The quality checks and manual quality control are an efficient component in the Photo Collect process. We would be happy to show you how it works in detail and, if you like, also demonstrate the celebrity check, which can be used to easily and reliably identify and, if necessary, sort out images of celebrities sent in on a whim. Contact us for a demo!