Freespace
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.
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Numina
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.
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Amazon Rekognition
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.
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Eyeris
Driven by excellence, inspired by you. At Eyeris, our technology was inspired by the late-night worker, the caring parent, the aspiring entrepreneur. Keeping every driver in mind, our innovative technology promises to push towards a safer and better road ahead. In-Cabin cameras are the most common sensor used for driver and occupant monitoring. Eyeris AI Software interprets the entire interior scene through these cameras. Allows the ability to collect data from different sensor types to interpret the scene with redundant data for high data accuracy. Innovation in hardware is improving to accommodate and run sophisicated AI software in the most efficient and fastest manner. Our vision-based neural networks provide the richest source of information. Using the latest image sensors, our pre-trained vision AI models understand the entire in-cabin space under the widest range of lighting spectrum.
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