Facial matching software

Using the human face as a key to security, biometric face recognition technology has received significant attention in the past several years due to its potential for a wide variety of applications in both law enforcement and non-law enforcement. Face images can be captured from a distance without touching the person being identified, and the identification does not require interacting with the person. In addition, face recognition serves the crime deterrent purpose because face images that have been recorded and archived can later help identify a person. NEC NeoFace technology's strength lies in its tolerance of poor quality.
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Facial recognition: top 7 trends (tech, vendors, markets, use cases and latest news)

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Face API - Facial Recognition Software | Microsoft Azure

Request Demo Learn more. Request Demo Contact us. Sightcorp develops patented proprietary AI Software solutions. Through computer vision, deep learning and machine learning, our technology can recognize and analyze faces in images, videos, and in real-life environments.
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Facial recognition system

Scale without performance loss, sharing data across unlimited locations. Maintains high performance with challenging angles and lighting conditions. Two-Minute Deployment includes automated camera discovery, server assignments and health monitoring. FaceFirst understands and solves the operational challenges unique to retail and public safety deployments.
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The INTERPOL Face Recognition System is an automated biometric software application capable of uniquely identifying or verifying a person by comparing and analysing patterns based on their facial features and contours. This is a relatively new biometric which is being introduced by police and other agencies around the world. As this is still in its infancy in most countries, standards and best practices are still in the process of being created, and INTERPOL is contributing to this. Our application became operational in November and made more than 60 potential matches in We therefore carry out a manual process — we call this Face Identification — to verify the results of the automated system.
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