Application Hub
The marketplace designed to simplify the development and deployment of AI on edge devices
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MiDaS for Monocular Depth EstimationEfficient single-camera depth estimation using quantized MiDaS v2 model optimized for edge AI deployment.
Predictive Maintenance Anomaly Detection -
FFNet for Real-Time Semantic SegmentationLightweight semantic segmentation model optimized for real-time street scene analysis on edge devices.
Quality Control -
HRNet for Human Pose EstimationHigh-resolution neural network for accurate keypoint detection in human pose estimation tasks.
Industrial Safety Surveillance -
PoseNet for Multi-Person Pose DetectionLightweight and quantized PoseNet model for real-time multi-person pose estimation on edge hardware.
Industrial Safety Surveillance -
Mini Agent on the EdgeLightweight on-device AI agent for natural interaction and local decision-making without cloud.
LLM -
Machine Alert Assistance with Operator RecognitionHMI system that uses AI to recognize operators during alerts and show personalized troubleshooting instructions.
Industrial Safety Surveillance -
People CounterLightweight real-time people counting model based on quantized YOLOX, optimized for edge devices using LiteRT (TensorFlow Lite) .
Industrial Safety Surveillance -
Forecast – Settlement Predictions for TBMPredictive modeling for TBM settlement to enhance safety and planning in tunneling projects.
Security -
Emergency Safety Control via Audio DetectionDetects critical alarm sounds (e.g., fire alarms) and triggers immediate machine shutdown for safety compliance.
Industrial Safety Surveillance -
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