Accelerate Edge AI development with a complete toolkit of validated containers, sample apps, and deployment guides — optimized for multi-architecture environments.
SECO Application Hub
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Face Recognition for Industrial HMIby SECOSecure face recognition HMI system for personalized user access in industrial environments.
Industrial Safety and Surveillance -
Automated Quality Inspection with Vision AIby SECOReal-time AI-powered vision system for detecting defects in manufacturing environments
Quality Control -
People Counterby SECOLightweight real-time people counting model based on quantized YOLOv8n, optimized for edge devices using TensorFlow Lite.
Industrial Safety and Surveillance -
PoseNet for Multi-Person Pose Detectionby SECOLightweight and quantized PoseNet model for real-time multi-person pose estimation on edge hardware.
Industrial Safety and Surveillance -
FFNet for Real-Time Semantic Segmentationby SECOLightweight semantic segmentation model optimized for real-time street scene analysis on edge devices.
Quality Control -
MiDaS for Monocular Depth Estimationby SECOEfficient single-camera depth estimation using quantized MiDaS v2 model optimized for edge AI deployment.
Predictive Maintenance and Anomaly Detection -
Time Series Forecast for Electricity Consumptionby SECONeural network model for forecasting household electricity consumption using historical time series data.
Predictive Maintenance and Anomaly Detection -
YAMNet for Environmental Sound Classificationby GoogleReal-time environmental sound classifier optimized for low-power edge devices using MobileNet v1.
Forecasting and Operational Optimization -
Time Series Anomaly Detection with Isolation Forestby SECOLightweight anomaly detector for time series data using Isolation Forest, designed for edge environments.
Forecasting and Operational Optimization -
Image Classificationby SECOEfficient CNN model for image classification on mobile and embedded edge devices.
Quality Control -
Object Detectionby SECOFast and accurate object detection using quantized YOLOv8n optimized for embedded edge devices.
Quality Control