Functionality of the Leading AI Technologies in E-Commerce
Christian Stadlmann
CRO at Anyline
Understanding the technological workings of scanning technology can help to demonstrate its value. It can also show just how much the ecommerce automotive world is changing. This is done through mobile data capture and Optical Character Recognition or OCR.
This is the process that allows for the mechanical or electronic conversion of scanned images into machine-encoded text. In short, it turns analog data into a digital format that can be used in various ways.
At Anyline, we offer numerous tools that utilize mobile data capture and OCR technology to provide the automotive industry with the tools and resources it needs to operate in the most efficient way possible. Here is a look at some of those.
Tire Size Scanner
OCR technology has the ability to read tire identification numbers, including TIN and DOT figures. It can also pick up on tire size and the commercial tire serial number located on the sidewall. It can then take this information to gather data, including the age and other specifications of the tires.
With the use of Anyline’s tire scanner, the process of gathering this information is minimized, and the recording of the process takes such sections while also eliminating the risk that human error introduces to the process. Features such as automatic orientation and continuous scanning help make the solution simple to use by anyone.
It can be integrated through:
- Mobile apps: Using Anyline SDK, this is a quick way to get the system set up. It is available natively on iOS, Android, and Windows, as well as cross-platform on React Native, Xamarin, Flutter, and Cordova.
- Web Apps: Integrate Anyline SDK onto your website in a matter of hours with our JavaScript implementation.
License Plate Scanning
Available in the US, European, and African regions, license plate scanning uses just a standard mobile device to capture important data. Anyline’s system provides a better way to get quality and accuracy for workers who are on the go. It allows for easy recognition of license plates in the US and EU countries, which is fast and highly accurate. That helps to eliminate the risk of human error.
The system allows for all scanned data to be processed and stored offline. This ensures that all data remains secure and is not accessible by third-party cloud servers. It is possible to complete this process using any type of scenario, even if the license plate is dirty or partially obscured.
VIN Scanners
VIN scanners work very quickly to capture the VIN of the vehicle. This number is typically a long, 17-digit figure that is on the body, windows, or windshield of the vehicle. It allows a mobile device to scan and recognize the number to verify the vehicle. It can read Vehicle Registration Certificates, too.
This tool is secure, allowing for all data to be processed and stored completely offline, keeping it safe. It is also very flexible in that it can scan even obstructed and dirty VIN numbers due to the machine learning models that are provided. It also works in all conditions, even when there is no internet connection.
Integration of this system is equal to the others:
- Mobile apps: Using Anyline SDK, this is a quick way to get the system set up. It is available natively on iOS, Android, and Windows, as well as cross-platform on React Native, Xamarin, Flutter, and Cordova.
- Web Apps: Integrate Anyline SDK onto your website in a matter of hours with our JavaScript implementation.
Tire Tread Scanner
The tire tread scanner uses AI and computer vision to create an image of the tire tread grooves that can then be used to analyze the condition of the tire, helping to determine if it is time to replace them or if they need replacement in the future. This is done using any mobile device without any specialized hardware or equipment.
It allows automotive companies to easily blend this information into their existing workflow without any complicated process of gathering data or training teams. The process is simple – swipe the device over the tire, get results in seconds, and then save that information in a file.
Integration here is done through API that combines artificial intelligence and computer vision. The process requires no training and no purchase of more expensive equipment for use later on.
