Integrate this AI-powered API in your solution to automatically get key tire information
Our Tire Size recognition API is a product that future-proofs the customer experience and enables a better user journey.
This AI-powered product helps your customers simply point their phone cameras at the tires and automatically extract and label all the key tire information necessary such as dimensions, markings and specifications.
Integrated with the web application, the customer receives an AI-based tire recommendation best suited for their requirement right on their screens without having to hassle over specific details.
More customers today are buying online. Online tire purchases have almost doubled from 8% in 2011 to 15% in 2019. However, the potential of online tire commerce is not being completely utilized due to a poor user experience.
Let’s understand the e-retail tire market:
The inability to understand and register tire information is the key deterrent to online purchases. Online portals ask users to fill in fitment details laymen aren’t aware of, thus confusing users and resulting in loss of motivation to proceed with the purchase – which effectively means the loss of a prospect.
Detects tire size, load index, speed index, tire brand, tireline. It also detects car brand & model from rim design for mounted passenger car tires.
Tire size is mentioned at two places on tire with different font and this API is able to extract both. Also works with different TireBrand and Tireline fonts/text layout.
Only R & ZR construction types supported.
This API offers AI powered OCR (Optical Character Recognition) service to automatically detect the complete tire size with load index and speed index from the picture of tire captured through smartphones.
It can be integrated with various applications where tire size and other key parameters are required as an input.
Our OCR (Optical Character Recognition) model automatically extracts and labels all the key tire information necessary (such as dimensions, markings, and specifications) using computer vision methodologies, and based on the extractions, recommends the appropriate tire to the customer using a generic recommendation engine.
Tires decoded by this API are passenger car tires.
The API offers two modes:
Image should be taken in daylight for best results. Indoor parking/low lighting results may not be good.
An “Image Quality Code Results” is returned by the API with the following values:
The use of all our APIs is subject to the use of a user token. To obtain this token, it is necessary to authenticate by an API call.
The authentication allows to get the user token which will be requested in all the API calls.
When you register an app for any API product, a client id and client secret is created.
Client Id is treated as API Key and used to authenticate the consumer for subsequent API calls
