Nexa|Face

The 3DiVi Omni Platform is an integrable face recognition system designed to analyze images and video streams, offering capabilities such as face detection, tracking, and identification. It supports features like face identification by control lists, recognition of masked or partially covered faces, and provides integration through an API and an admin web interface. The platform is optimized for high performance, capable of processing large-scale databases efficiently, and is suitable for various applications, including access control and video analytics. Deployment options are versatile, supporting both on-premise and cloud environments, with compatibility across multiple operating systems. Additionally, the Omni Platform offers services such as market analysis, implementation support, and flexible licensing models to assist clients throughout all stages of deployment.

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.