Vigilant FaceSearch
Analyze over 350 vectors of a suspect’s facial image and take a responsible, policy-based approach to facial recognition-based identification to generate immediate leads from matches to a highly controlled booking image gallery. Pinpoint persons of interest faster with facial cataloging and alerting. Transform license plate data into promising leads that close cases. Solve more crime by uncovering actionable insights within your data. Crowd-sourcing the identity of a wanted suspect is time-consuming. Vigilant FaceSearch analyzes over 350 facial vectors of a suspect’s face to generate immediate leads using a booking image gallery sourced from your department, partner agencies and our own exclusive database - providing a responsible, policy-based approach to facial recognition-based identification. When it comes to facial recognition, precision matters.
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FaceVACS
Based on the world-leading FaceVACS technology, we provide our customers with easy-to-use, scalable and customizable face recognition software, and offer easy integration of our products through open system architecture and professional support. ID issuance agencies can compare new ID photos to existing images and prevent ID fraud or detect clerical errors. In addition, agencies can perform database de-duplication (1:n or n:n) to compare, clean and maintain ID databases with facial images. FaceVACS-DBScan LE helps law enforcement staff to increase the speed and accuracy of criminal investigations, allowing them to act upon match results in the critical time period after a crime has been committed.
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Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
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Betaface
We offer ready components, such as face recognition SDKs, as well as custom software development services and hosted web services with a focus on image and video analysis, faces and objects recognition. Our technology is used by video and images archives, web advertising and entertainment projects, media content producers, video surveillance and security software solutions, end user and b2b software developers and others. Betaface facial recognition suite embraces whole range of complex operations from fundamental face detection through face recognition (identification, verification or 1:1, 1:N matching) to biometric measurements, face analysis, face and facial features tracking on video, age, gender, ethnicity and emotion recognition, skin, hair and clothes color detection, hairstyle shape analysis and facial features shape description. Our technology is used by video and images archives, web advertising and entertainment projects.
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