Invisible AI

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.

An automated watchlist alerting system that identifies persons of interest and their contact history in real-time and historically while protecting the identity of bystanders. A touchless access control solution that uses facial recognition to open guarded points of entry for authorized people, which improves safety from the outside in. Provide frictionless access to people who are authorized to enter a space through privacy compliant and spoof-proof face recognition. Eliminate the need to touch any surface when entering a controlled space by using face recognition to verify authorization. Stop bottlenecks with recognition software that identifies a person instantly. Deploy quickly and seamlessly integrate with the current access control system. Create enforceable, digital barriers without erecting permanent structures and get instant alerts when unauthorized people are identified.