Intel SceneScape

Numina measures all kinds of curb-level activity. Anonymously and in aggregate, Numina delivers the volume counts, paths, and traffic behaviors of travelers and objects in streets. To understand granular traffic safety, environmental conditions, and operational metrics in streets. To build a data utility that turns streets into a developer platform. Numina was designed to protect privacy as a foundational principle. Our sensors use onboard computing to pre-process and then erase imagery, resulting in datasets that are anonymous and secure. Numina is the only computer vision sensor solution purpose-built for streets and designed from Day 1 to provide Intelligence without Surveillance. Everyone wants more livable places, but few agree on how to get there. There are many ideas about how to improve our neighborhoods. We seek to help cities get to the right answer, faster and more equitably, with a data-driven approach.

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.