SafeCount

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.

The ADI EagleEye™ people counting technology enables a complete end-to-end, edge-based hardware and software solution for occupancy monitoring in buildings. The people counting reference design building blocks allow for easy integration so you can solve higher complexity customer problems within your existing models. With our proprietary algorithm and advanced Blackfin® processor, you can easily improve your existing solutions by allowing customers to elevate the efficiency of their spaces, while maintaining security and privacy. The data collection unlocks informed insights needed to improve asset and people management, social distancing, security, employee engagement, space utilization, labor productivity, and energy efficiency. From meeting rooms to cafeterias, and lobbies to open desk people counting, ADI EagleEye is there to solve workspace needs and maximize worker wellbeing and productivity.