Hello, I am working on a lightweight computer vision prototype using a Raspberry Pi Zero 2 W. The system captures images via a Raspberry Pi camera module and processes them locally (offline) using Python and Tesseract OCR. The current setup is functional, but recognition accuracy is inconsistent under real-world conditions. _____ Current setup: Raspberry Pi Zero 2 W Raspberry Pi Camera Module (IMX708) Python (3.x) Tesseract OCR (v5.x) ImageMagick / basic preprocessing __________ The OCR output varies depending on: lighting conditions background contrast font variations distance / scaling The system needs to reliably extract numeric values from images in a structured format. like 1,99€ / 15,56€ Like this. NOT BARCODES! ONLY THE PRICES ! __________ Task: I am looking for a developer with experience in OCR and image processing to: Improve preprocessing pipeline (grayscale, thresholding, resizing, sharpening, ROI selection) Optimize OCR configuration (character whitelist, segmentation mode, tuning for numeric input) Increase detection reliability across varying conditions Propose a clean, efficient pipeline suitable for low-power hardware _____________ Technical requirements: Focus strictly on numeric recognition (0–9, comma, dot) Handle different visual styles and contrasts Must run efficiently on Raspberry Pi (low CPU usage) No cloud or API solutions – fully offline ________________ Nice to have: Experience with OpenCV Experience optimizing OCR on embedded systems Suggestions for performance improvements ____________________ What I provide: Sample images Existing Python code Current preprocessing workflow ________________ Expected result: A significantly improved and stable OCR pipeline for numeric detection under varying real-world conditions. __________________ Budget: Fixed price – open to reasonable offers depending on experience __________________ The budget for this task is set between 80–150 EUR, depending on experience and approach. High-quality work is highly valued. If the results exceed expectations, I am open to providing a performance-based bonus and the possibility of ongoing collaboration with higher compensation.