The challenge: The challenge was to elevate the user experience on a second-hand car sales website by introducing innovative features.
The solution: To meet this challenge, I devised a solution in the form of Number Plate Recognition software implemented within a mobile app. By leveraging the capabilities of a smartphone’s camera, the app enabled users to capture their vehicle’s number plate. Through sophisticated image processing and recognition algorithms, the app accurately extracted the plate’s characters.
To enhance the functionality of the app, I integrated it with a backend API that seamlessly resolved the recognized number plate to an actual vehicle. This integration involved accessing a comprehensive vehicle database, where details such as make, model, year, and other relevant information were stored. By leveraging the backend API, the app provided users with the convenience of automatically populating their vehicle’s information, saving them time and effort.
Users could then conveniently search for their vehicles on the second-hand car sales website directly from the app, streamlining the process of obtaining valuations and exploring potential selling options.
The implementation of Number Plate Recognition technology brought a novel and interactive element to the second-hand car sales website, making it more engaging for users. By leveraging the power of smartphone cameras and backend data integration, the app provided a seamless and efficient way for users to interact with their vehicles and the online marketplace.
Overall, the Number Plate Recognition software significantly enhanced the user experience, simplifying the process of managing and valuing vehicles on the second-hand car sales website. Its integration within the mobile app brought added convenience, efficiency, and a touch of innovation to the platform, ultimately benefiting both users and the business.
Tech stack: iOS, Objective C, Open CV