Application Hub
The marketplace designed to simplify the development and deployment of AI on edge devices
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Object DetectionFast object detection using YOLOX optimized for embedded edge devices.
Quality Control -
Image ClassificationEfficient CNN model for image classification on mobile and embedded edge devices.
Quality Control -
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 -
Forecast – Settlement Predictions for TBMPredictive modeling for TBM settlement to enhance safety and planning in tunneling projects.
Security -
Hand Gesture RecognitionDeep-learning gesture recognition for touchless HMI in dynamic environments.
Security -
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 -
YAMNet – Training ExperienceA training pipeline for customizing YAMNet to recognize new environmental or industrial sounds.
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Fitness Tracker – Time Series ClassificationReal-time activity recognition using motion sensor data from wearable fitness devices.
Time Series