AlphaEye

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.

Designed for accuracy and fast implementation, a SafeCount system helps businesses comply with social distancing and occupancy guidelines by anonymously counting people as they enter and exit your building. Suitable for buildings of all sizes, even those with multiple entrances and exits, a SafeCount solution delivers live occupancy data with visual warnings and alerts when limits are approached or exceeded. SafeCount works independently of existing IT networks and is designed for simple setup and fast installation. Can be self-installed. No complicated setup or configuration. Unrivaled person detection accuracy in excess of 99%. Accuracy is important. Anonymous sensing technology. Does NOT use cameras to detect people. Works independently of existing IT networks. Scale with SafeCount Plus. SafeCount can be used to monitor occupancy of entire buildings, individual rooms or anything in between.