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Introduction
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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. |
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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.
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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.
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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:
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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:
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Make sure your users are taking good pictures. For example, show good and bad examples, or show an instruction video before they take the image in the process. Since the method of capturing (described in the "Quality Drivers" section) has a great influence on the quality of the results, it is important to instruct the users well. Among other things, you can place an overlay of a tire over the camera stream in the image capture process that will help both your website visitors and workers to aim correctly and therefore take the perfect picture. This can increase the likelihood that you gather all tire sidewall info. Our Anyline experts are happy to consult you during the integration process to ensure the best possible user experience for your users. | ||
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After a photo is taken, uploaded and processed we will give you a confidence level for each detected item (DOT/TIN, Tire Size, Tire Make & Model). This confidence score shows you how accurate our Cloud API is and that we have scanned the right values for each item. You may configure it so that if we provide a confidence score below a certain threshold, you remove this item from the result screen on your website or avoid showing this in your application. Another option is to mark the low confidence values as "unconfident" in your user interface, so that the user has to pro-actively reconfirm them before continuing with the process.
We also recommend that you set the confidence score to at least 90%. |
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It is completely up to you to use or display only the information that is required for your use case. To optimise the user experience of your application, you should only use the information that is actually needed. |
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Links to Documentation
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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 |