Enhancing Face Recognition for Prosopagnosia with AR Technologies

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This presentation aims to explore innovative solutions to enhance face recognition for Prosopagnosia patients. Building on a foundation in technology and education, the research focuses on isolating semantic regions to improve recognition capabilities. After reviewing existing solutions like Smart Glass and AR systems, we introduce the ResRAMACL model—a hybrid design integrating ResNet-101, RAAM, and HACML—to tackle current limitations. This model harnesses real-time data processing to...