Non-invasive detection of diabetic complications via pattern analysis of temporal facial colour variations.

•A non-invasive detection framework for patients with diabetic complications.•Automatic examination of rubeosis faciei in a room with a non-controlled lighting conditions.•Image processing and pattern recognition techniques to analyse short video recordings.•Evaluation on 174 video files with 92.86% accuracy, 100% sensitivity, and 80% specificity.