Industrial AI & Edge IoT Solutions
Transforming raw sensory data and aerial imagery into automated maintenance triggers, anomaly detection, and autonomous plant optimization.
Real-Time Machine Vision & Anomaly Detection at the Edge
Unplanned mechanical failure is the largest contributor to plant downtime. EM Group deploys embedded edge computing and neural networks directly on site.
By integrating edge vision sensors, acoustic spectral analyzers, and high-frequency vibration streams into custom machine learning models, we identify bearing wear, conveyor rip risks, and flotation foam froth dynamics days before catastrophic failure occurs.
Industrial AI Capabilities:
- Edge Vision Defect Detection: High-speed cameras for conveyor belt tears & crusher chute blockages
- Predictive Bearing Health: FFT vibration spectrum anomaly models predicting Remaining Useful Life (RUL)
- Aerial Image AI Classification: Automated highwall crack segmentation & powerline insulator defect tags
- SCADA Telemetry Machine Learning: Closed-loop setpoint optimization for SAG mills & chemical dosing
Applied Artificial Intelligence Architecture
Robust machine learning pipelines engineered for rugged field edge processors and cloud telemetry.
Computer Vision Edge Nodes
Embedded NVIDIA Jetson and industrial camera enclosures analyzing high-speed video feeds for belt rip, chute blockage, and unauthorized zone intrusion.
Predictive Maintenance Models
Time-series anomaly detection algorithms continuously scoring multi-axis vibration, temperature, and current harmonics to forecast bearing breakdown.
Autonomous Optimization
Reinforcement learning controllers interfacing with plant SCADA loops to fine-tune reagent dosing, pump speeds, and cyclone feed pressures automatically.
Deploy Industrial Edge AI on Your Critical Assets
Book a technical consultation to review your sensor telemetry and pilot an AI computer vision node.