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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 -
Time Series Forecast for Electricity ConsumptionShort-term electricity consumption forecasting based on historical time-series data.
Predictive Maintenance Anomaly Detection -
Fitness Tracker – Time Series ClassificationClassifies physical activities in real time from wearable motion sensor data.
Time Series -
Speech-to-Text – WhisperTranscribes spoken audio into text using the Whisper speech recognition model, optimized for edge inference.
NLP Audio Monitoring -
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 -
Mini Agent on the EdgeLightweight on-device AI agent for natural interaction and local decision-making without cloud.
LLM -
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 -
Wave2Vec – Speech-to-Text
Transcribes spoken audio into text using Wav2Vec2 for edge-based speech recognition applications.
LLM Audio Monitoring Feedback Reporting Industrial Noise -
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