FOORIR

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.

Freespace has been at the forefront of workplace design and technology solutions since its establishment in 2015. Distinguished by its innovative approach, Freespace stands out in the market as the sole provider of a fully integrated end-to-end workplace and sensor technology solution. Freespace addresses common workplace challenges like too much real-estate, over-capacity on certain days, unsuitable workspace design or making the workplace a destination for employees. It offers workplace data insights, interactive hybrid work solutions, and tools for operating space more efficiently and sustainably. Recognized as an industry leader in workplace analytics, sensors, employee experience app, signage and space management, Freespace delivers customer needs by integrating its technologies across existing office, building, and enterprise applications (end-to-end solution). With Freespace, organizations can make space for more efficient, productive, and dynamic workplaces.