Raspberry Pi Text Recognition Algorithm
Budget: $750 – $1,500 USD
I'm looking for a skillful developer to create a text recognition ( English language) algorithm that can be implemented on Raspberry Pi 4B. The main objective is to develop a system capable of accurately extracting text from natural scene images. Accuracy is essential, with the expected range standing between 88% and 95%.
Key Requirements:
- Understand the principles of text recognition, and possess the skills in developing a feasible and efficient solution.
- Must be capable of programming in Python or similar languages – necessary for integrating the algorithm with Raspberry Pi 4B.
- Familiarity with image processing and Raspberry Pi is highly beneficial, though not strictly compulsory.
- The algorithm should be versatile enough to function accurately in varying lighting conditions, both indoors and outdoors. Hence, a deep understanding of image manipulation and light conditions is required.
By engaging in this project, you would leverage your coding skills to build an intricate system that can handle text extraction efficiently and effectively. This is not merely an exercise in technical depth but also creative problem solving. Make sure to highlight any relevant experience in your bid to improve your chances of selection.
Key Requirements:
- Understand the principles of text recognition, and possess the skills in developing a feasible and efficient solution.
- Must be capable of programming in Python or similar languages – necessary for integrating the algorithm with Raspberry Pi 4B.
- Familiarity with image processing and Raspberry Pi is highly beneficial, though not strictly compulsory.
- The algorithm should be versatile enough to function accurately in varying lighting conditions, both indoors and outdoors. Hence, a deep understanding of image manipulation and light conditions is required.
By engaging in this project, you would leverage your coding skills to build an intricate system that can handle text extraction efficiently and effectively. This is not merely an exercise in technical depth but also creative problem solving. Make sure to highlight any relevant experience in your bid to improve your chances of selection.