Best Practice Guide for Tire Sidewall Data Capturing (on Cloud API)
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.”
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