Computer Vision Engineer – Optical Braille Recognition (OBR) Pipeline Development

Overview Looking for a Computer Vision Engineer to build a Python-based pipeline for Optical Braille Recognition (OBR) — processing binary/thresholded images of Braille dot arrays (sample attached) and converting them into structured text. Key Responsibilities - Preprocessing & Grid Alignment: Detect, segment, and align the grid structure of Braille dots from binary/preprocessed images. - Dot Pattern Extraction: Group detected dots into standard 2×3 or 2×4 Braille cell structures, accounting for skew, spacing variability, and noise. - Decoding Pipeline: Map extracted dot patterns to Unicode/ASCII text using standard Braille translation tables. - Evaluation: Deliver a structured, reproducible notebook/script with accuracy metrics, detection performance, and processing speed. Required Qualifications - Strong Python, OpenCV, and image processing (scikit-image, NumPy, SciPy). - Experience with classical CV techniques (contour analysis, Hough transforms, connected component analysis, morphological ops) or lightweight deep learning detection (YOLO, custom CNNs). - Familiarity with OCR or document analysis pipelines. Deliverables - Working code with setup/run instructions. - Notebook or report with accuracy metrics and performance evaluation.