Dear Client,
We hope this proposal finds you in good health and high spirits.
We, N&T Negocios y Tecnologias s.r.l., are pleased to present our proposal for the project titled "PFD line tracking method (ML/AI, Image processing)". With over 20 years in the IT industry, we have a strong track record in developing web, mobile, blockchain, and AI projects. Our team of experts has extensive knowledge and experience in machine learning, AI, and image processing techniques.
The primary objective of this project is to develop a PFD line tracking method using ML/AI and image processing techniques to automate line tracking in images and improve the accuracy of the tracking process. To achieve this, we propose the following solutions:
1. Development of a software that can automate line tracking in images: Our team will utilize their expertise to develop a robust software solution that can automatically track lines in images with a high level of accuracy.
2. Compatibility with your existing software: We understand the importance of seamless integration with your current infrastructure. Therefore, our software will be designed to be compatible with your existing software, ensuring a smooth transition and workflow.
3. High accuracy tracking: We recognize that precision is crucial for this project. Therefore, our solution will prioritize high accuracy in line tracking, ensuring the utmost reliability and productivity.
In terms of architecture and technology, we recommend the following approach:
1. Django framework-based API server implementation: This will provide a solid foundation for the backend development and integration of the line tracking method.
2. Restful API backend development: We will develop a robust and scalable backend to handle the image processing and line tracking algorithms.
3. Image processing-based line tracking algorithm development and server implementation: Our team will utilize advanced image processing techniques to develop an algorithm that can accurately track lines in images.
4. Machine learning-based diagonal shape detection algorithm development and server implementation: We will leverage machine learning techniques to develop an algorithm that can detect diagonal shapes within the tracked lines.
5. Machine learning-based number recognition algorithm development and server implementation: Our team will employ machine learning algorithms to recognize and interpret numbers within the tracked lines.
Furthermore, we will conduct thorough system testing, debugging, and performance testing to ensure the software meets the highest quality standards.
Please note that the budget for this project is approximate and can be further discussed based on the specific requirements and scope of work.
If you have any specific software in mind that could meet these requirements and improve line