Image Input: User uploads or captures an image. Face Detection (MTCNN): The MTCNN detects facial regions and extracts bounding boxes with five key facial landmarks (eyes, nose, mouth corners). Face ...
False accusations of shoplifting against a man in Cardiff, Wales are the result of human error, rather than a false positive alert by the retailer’s live facial recognition system for theft prevention ...
Abstract: Facial recognition systems are widely used in various applications such as security, healthcare, and authentication, but face significant challenges in uncontrolled environments. Poor ...
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Abstract: This study presents a preventive care system for monitoring sudden infant death syndrome (SIDS), integrating digital image infosecurity and facial expression recognition (FER) technologies.
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