Introduction
In this article, you will find additional information and best practices for data capture with Anyline. For any comments or questions, please get in touch with your contact person at Anyline.
Quality Drivers
Challenging conditions and tire degradations can lead to a suboptimal scanning performance. This can be reflected through lower scan accuracy or a longer time needed to complete a successful scan result. Below, you will find a list of the most common factors which can be the cause of suboptimal scanning performance.
A very simple rule applies for all quality drivers in general: “If the human eye can’t read the text, the technology will most likely struggle too.”
Conditions and Factors | Correct Practice | Incorrect Practice |
|---|---|---|
Good and Consistent Lighting Conditions Low light reduces the contrast of the image, making it harder to separate the characters from the background. Make sure that the image was taken under good and consistent lighting conditions. Avoid shadows or reflections in the image. |  |  |
Camera Positioning To achieve more accurate results and a better overall scanning experience, please ensure that the image has the tire directly in line and not angled incorrectly. If the angle is too low or too high, the characters may not be as clear to get an accurate read. Also, avoid using angles where any textured backgrounds could surround the scannable area. |  |  |
Focus Make sure that the focus of the shot is on the tire. Improper focus caused by a poor auto-focus or incorrect handling will result in a blurry image. Likewise, make sure that no strong image compression is applied to the image. As a rule of thumb, the DOT number must still be readable after zooming in on the image. |  |  |
Distance Dirt can affect the scanner in various ways. If dirt partially or fully covers characters, they may be misread, or not detected at all (leading to no result). In that case, try to remove the dirt from the tire and scan again. |  |  |
Tire Positioning Position the tire in the centre of the image, making sure that the tire is completely in the image and not cut off. Make sure that only one tire is visible in the image. The image should be taken as parallel as possible to the tire. Make sure that the background of the shot is as neutral as possible and that the tire stands out well against the background. Avoid particularly bright objects in the background or backlighting. |  |  |
Dirt and Damages Make sure that relevant information on the tire is clearly visible and not covered by dirt. Damage that makes relevant information unreadable will degrade the reading rate. |  |  |
Some Extra Tips:
The resolution of the camera directly influences how much information is available to be processed by the recognition system. The higher the resolution of the camera, the higher the probability of more accurate result.
Make sure that the images are not larger than 8 MB.
Video Examples
Below, you will find a comparison between two video examples with one showing how to correctly use the Cloud API and the other showing the incorrect way to use the Cloud API:
Integration Tips for both E-Commerce and Tire Hotel Applications
To ensure that you give your website visitors the best user experience and at the same time increase your conversion rate, we recommend you take into consideration the following tips:
Links to Documentation
If you require any further information or details on our Tire Sidewall Data Capturing Module (on Cloud API), please click here to see our documentation page: https://documentation.anyline.com/main-component/index.html