Application Hub
The marketplace designed to simplify the development and deployment of AI on edge devices
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YAMNet for Environmental Sound ClassificationReal-time environmental sound classifier optimized for low-power edge devices using MobileNet v1.
Forecasting Operational Optimization -
Image Analysis for Defect – Training ExperienceAI-powered image analysis tool for defect detection in industrial environments, with a guided journey for customizing new defect types.
Quality Control -
FFNet for Real-Time Semantic SegmentationLightweight semantic segmentation model optimized for real-time street scene analysis on edge devices.
Quality Control -
Automated Quality Inspection with Vision AIReal-time AI-powered vision system for detecting defects in manufacturing environments
Quality Control -
Sensor Forecast – Smart BuildingA time-series forecasting model designed to predict sensor data patterns in smart buildings, enabling proactive energy management and maintenance.
Time Series -
Fitness Tracker – Time Series ClassificationReal-time activity recognition using motion sensor data from wearable fitness devices.
Time Series