Padmé
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About
Padmé is an Edge AI platform designed for effortless deployment of cutting-edge machine learning models on edge devices. It provides a no-code solution specifically for computer vision models on cameras. Users can easily configure venues and their edge devices to run any machine learning model with just a few clicks. The dashboard offers a birds-eye view of venues and devices, providing insights like crowd count, crowd surging, average time spent in a queue, and vehicle ingress/egress. Padmé offers a comprehensive platform with pre-built models and a framework for rapid deployment of AI solutions. The models are highly accurate and optimized for edge computing, featuring capabilities such as Crowd Counting, Object Detection, Ingress/Egress, License Plate Recognition, Queue Analysis, Dwell Time, and Sentiment Analysis. Padmé aims to empower businesses by simplifying complex visual data challenges, focusing on accuracy and efficiency in digital environments.
Platform
Task
Features
• no-code edge ai platform
• rapid deployment framework for ai solutions
• automatic model retraining and performance improvement
• pre-built, high-accuracy ml models
• automated insights (e.g., crowd count, queue analysis)
• real-time venue and device monitoring dashboard
• specialized in computer vision for cameras
• effortless ml model deployment on edge devices
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