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 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.
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:
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!