We are thrilled to announce that Padmé, the flagship product from Lotus Labs, has revisited US Open Tennis 2022 after our launch in 2021. Since then, we have successfully deployed our platform at Wimbledon, The Shed and running pilots at TD Garden and Universal studios.

Padmé is an edge platform that helps an enterprise deploy cutting-edge machine learning models effortlessly on its edge devices. We helped USTA and our partner PMY Group.

The latest version, Padmé 2.0, grants users access to the required camera zone and enables the masking tool to crop the required region in any shape from the camera feed. It then provides the outputs for that zone. The results are reported in real-time in the platform, which can be used for swift decision-making.

The self-service platform provides various additional features, which include optimizing the load on the processing unit and providing other deep learning models for numerous other scenarios.

What’s next?

Padmé 2.5 will bring a new workflow to collect additional training data while inferencing and use that data to annotate, retrain, and deploy the retrained model automatically. This will have a human-in-the-loop approach to annotate the data for certain scenarios.

We are excited that this will be the first in the industry to have an end-to-end infrastructure for edge devices. We are looking forward to deploying this solution to our clients in the manufacturing, oil and gas industries, and warehouses. 🚀

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