SAIMOS

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.

With intelligent video management, video analytics, access control and innovative perimeter intrusion detection systems, Senstar offers a comprehensive suite of proven, integrated technologies. A modular solution for security management and data intelligence, as well as an open, highly scalable video management system with built-in video analytics, it includes full-featured access control and perimeter intrusion detection modules. Senstar’s product portfolio is the industry’s best. By selling what we manufacture, Senstar can service, customize and adjust for any project. Where multiple layers of security are needed, Senstar products can work together for complete facility-level solutions.