We are currently seeking an experienced software developer to create a cutting-edge application that can accurately measure the tread depth of a tire using images or video footage. This innovative solution will be specifically designed for use on mobile devices, allowing users to conveniently assess tire wear and make informed decisions about maintenance and replacement directly from their smartphones or tablets.
The ideal candidate will possess the skills and expertise to develop a solution that can process the required calculations on the mobile device itself. However, if this is not feasible, the software should be designed in such a way that it can be written in any programming language and accessed via an API. This will ensure maximum flexibility and ease of integration with our existing systems and infrastructure.
In addition to measuring tread depth, the mobile application should also incorporate Optical Character Recognition (OCR) capabilities for analyzing the sidewall of the tire. This feature will enable users to automatically collect essential information about the tire, such as its manufacturer, model, size, and other pertinent specifications. By streamlining this data collection process, we aim to improve efficiency and reduce the likelihood of errors caused by manual data entry.
The successful candidate for this project will have a strong background in software development, mobile app development, computer vision, and image processing. Prior experience with OCR technologies and a comprehensive understanding of tire-related information will be highly advantageous. If you possess the necessary skills and experience to bring this groundbreaking mobile app to life, we would be eager to discuss the project in more detail and explore the potential for collaboration.
1. Can you provide examples of previous projects involving computer vision, image processing, or OCR technologies that you have successfully developed or contributed to?
2. What programming languages and frameworks do you have experience with, particularly in the context of mobile app development and API integration?
3. How would you approach the challenge of accurately measuring tire tread depth from images or video footage, taking into consideration factors such as lighting, angle, and image resolution?
4. Have you previously worked on any projects related to the automotive or tire industries? If so, can you share some details about those projects and your role in them?
5. What strategies or techniques would you employ to ensure that the mobile app performs the required processing efficiently and with minimal resource consumption?
6. How would you ensure that the OCR feature is capable of accurately extracting tire information from various sidewall designs, fonts, and orientations?
7. Can you discuss your experience with cross-platform mobile app development, and how you would ensure compatibility and consistent performance across different devices and operating systems?
8. How would you handle potential challenges or limitations related to image quality, such as glare, blur, or low resolution, when measuring tread depth or performing OCR on the sidewall?
9. What is your preferred method of communication and collaboration throughout the development process, and how do you typically handle project management, task tracking, and progress reporting?
10. Can you provide an estimated timeline for the development of this mobile app, including key milestones and deliverables, based on your current workload and availability?
APPLY FOR THIS JOB:
Company: Frontdesk, Inc.
Name: Matt Playne
Email: