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Automated Quality Inspection with Vision AIReal-time AI-powered vision system for detecting defects in manufacturing environments
Quality Control -
FFNet for Real-Time Semantic SegmentationLightweight semantic segmentation model optimized for real-time street scene analysis on edge devices.
Quality Control -
Image ClassificationEfficient CNN model for image classification on mobile and embedded edge devices.
Quality Control -
Object DetectionFast object detection using YOLOX optimized for 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 -
Fitness Tracker – Time Series ClassificationReal-time activity recognition using motion sensor data from wearable fitness devices.
Time Series -
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 -
Scene Text Detection – High AccuracyHigh-precision OCR application that detects and transcribes text from real-world images with superior accuracy, ideal for industrial and logistics use cases.
Quality Control -
Scene Text Detection – Light ModelLightweight OCR application that detects and reads text in images using a faster, lower-resource model designed for embedded and edge devices.
Quality Control -
PCB Defect DetectionSpecialized AI-based vision system for detecting surface and structural defects on printed circuit boards (PCBs) during manufacturing inspection.
Quality Control -
Object detection with RF-DETRAdvanced transformer-based detector optimized for accurate, real-time edge performance on SECO platforms.
Quality Control -
Mini Agent on the EdgeLightweight on-device AI agent for natural interaction and local decision-making without cloud.
LLM -
ResNet – Training Experience on DeviceOn-device fine-tuning/validation of ResNet classifiers—customize without cloud dependency.
Quality Control -
Inception – Training ExperienceFlexible model training and validation experience with deployment and inference on SECO edge hardware.
Model Training -
Wave2Vec – Speech-to-TextHigh-accuracy speech transcription optimized for automated documentation and voice-controlled operations in demanding environments.
LLM Audio Monitoring Feedback Reporting Industrial Noise -
Object Detection – Low Power on EdgeEnergy-efficient, real-time object detection optimized for low-power edge devices with strict battery and thermal constraints.
Quality Control Industrial Safety Surveillance -
Video Action RecognitionDeep learning solution that classifies human actions in video streams for workflow analysis and operational safety.
Quality Control Industrial Safety Industrial Surveillance Surveillance Emotion Recognition -
Face ID – Training ExperienceGuided training environment for creating and preparing custom Face Recognition models, with optimized deployment and inference on SECO hardware.
Security Facial Recognition Model Training -
Wave2Vec – Speech-to-Text
High-accuracy speech transcription using Wave2Vec for industrial documentation, healthcare automation, and voice-controlled processes.
LLM Audio Monitoring Feedback Reporting Industrial Noise -
Object Detection – Low Power on Edge
Energy-efficient object detection optimized for edge platforms with power and thermal constraints.
Quality Control Industrial Safety Surveillance Security -
CREI - The Edge AI Accelerator for Intelligent Industrial Interconnectionby Concept ReplyBridging the Field and Digital: Universal Connectivity, Zero Latency, and On-Device Machine Learning for Industry 5.0.
Quality Control Predictive Maintenance Anomaly Detection Forecasting Operational Optimization