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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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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VergeSense
Let data be your guide. The VergeSense analytics platform gives workplace leaders the power to measure all aspects of office space. Make informed decisions to prepare for the new employee experience while saving millions in real estate costs. Workplace analytics platform powered by deep-learning sensors. VergeSense workplace analytics are powered by deep-learning sensors that count people across the office. Understand usage and occupancy of buildings, floors, seating areas, conference rooms, all the way down to individual desks. Last year's occupancy benchmarks are no longer relevant to today's workplace. Ready your office with the data you’ll need to build the most productive and safe environment for your team. Answer questions like: How many employees are coming into the office? How frequently and on what days? What spaces do they use and when? What desks are being used, and which can be reassigned?
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Ipsos Retail Performance
People counters are the foundation of our retail technology suite and are key to optimizing store performance. More than simply tracking the number of people who walk through the door, the data these solutions capture supports effective decision-making at a strategic and operational level – underpinning everything from staff scheduling to trend analysis and retail occupancy levels. Using cutting-edge people counting sensors and software, you can identify busy periods then deploy staff in the right places at the right time, and see how popular a display or product range is. With real-time footfall data and analytics, you can also see whether the layout and marketing activities are effective by understanding dwell time, engagement and conversions. Our people counting sensors guarantee at least 95% accuracy, allowing you to track footfall on an hour-by-hour basis to uncover current buying behavior and forecast trends.
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