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Padmé lets you easily configure a venue and its edge devices to run any machine learning model in a matter of a few clicks. The dashboard gives you a birds-eye view of the venues and edge devices involved along with the desired insights about the venue, such as crowd count, crowd surging, average time spent in a queue, and the number of cars entering or exiting, etc.
Cutting-edge machine learning models and a framework optimized and integrated with your edge devices to provide seamless and highly efficient computer vision solutions with an emphasis on automatic retraining and performance improvement.
Padmé can be customized to serve your needs. The video here showcases the crowd counting capability in a specific area of the stands in the National Tennis Center during US Open 2021.
Loss prevention in retail stores can be curtailed through our platform. Padmé has custom machine learning models specific to industries like retail, manufacturing, warehouses, healthcare, event management, etc.