iOS VIN Scanner Module
Overview
Vehicle Identification Number (VIN) scanning is a powerful feature designed to detect, read, and extract data from VINs, whether they are printed as text or encoded in barcodes. The VIN contains standardized alphanumeric information, such as manufacturer details, vehicle attributes, and unique identifiers, enabling quick and reliable machine reading.
The Vehicle Identification Number Scanner is designed to read both VIN strings and VIN barcodes. It scans the text using OCR within a user-defined rectangular area of interest, in consecutive video frames, or decodes barcodes containing VIN information. A customizable closure lets you clean up the raw string by filtering it against unwanted characters and OCR noise.
By leveraging advanced detection and recognition algorithms, VIN scanning ensures accurate data extraction even under challenging conditions, such as poor lighting, tilted surfaces, or partially visible VINs. The extracted data is provided in a structured format, enabling seamless integration into applications for further processing or verification.
VIN scanning is widely used across industries such as automotive, insurance, and logistics, where automated and reliable data extraction enhances efficiency, reduces manual errors, and improves user experience.
Integration
There are two ways to integrate the UI components into your application:
On iOS, processing very large images can lead to out-of-memory crashes!
Since this limit is highly dynamic and untransparent in iOS (depending on the device, your app's current memory usage, other apps running in the background, the iOS version, the system configuration, and many other factors), we did not add a hard limit for image sizes.
As a rule of thumb, it is safe to assume that processing images with resolutions that match the camera's resolution will not crash your app. On most modern iOS devices, this translates to 12 megapixels. But even much larger images may work without crashing.
Therefore, we cannot take responsibility for out-of-memory crashes when dealing with very high-resolution images. You as the developer need to properly manage the handling of large images and keep the memory footprint of your app as small as possible.
If you have any questions on this topic, please reach out to our support team.
Please do not use multiple scanners at the same time. For example, do not combine Document Data Extractor, Health Insurance Scanner, Text Pattern Scanner, etc. at the same time! Each scanner instance requires a lot of memory, GPU, and processor resources. Using multiple scanners will lead to performance issues for the entire application.
Take a look at our example apps to see how to integrate the VIN Scanner:
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