Application Hub
The marketplace designed to simplify the development and deployment of AI on edge devices
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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 -
Automated Quality Inspection with Vision AIReal-time AI-powered vision system for detecting defects in manufacturing environments
Quality Control -
Speech-to-Text – Whisper TensorFlowSpeech recognition model for transcribing spoken language into text .
NLP Audio Monitoring