Camera-based assistive technology
Also known as: Camera-based AT, Vision-based AT, VBAT
Assistive technologies that use cameras (typically smartphone cameras or smart glasses) combined with computer vision and AI to provide visual information to blind and low-vision users. Applications include object recognition, text reading (OCR), scene description, face identification, currency identification, and colour detection. Popular examples include Microsoft Seeing AI, Google Lookout, and Be My AI. While transformative for visual access, these technologies introduce challenges around error handling, privacy (continuous camera use in public), and the difficulty of non-visual verification of visual AI output.
Category: Assistive Technology · Machine Learning
Related: Object recognition · Visual assistance technology · Augmented reality · Screen reader