MuckEye provides a real-time muck assessment platform for underground mines, using machine‑vision and multi‑spectral IoT sensors at the drawpoint to continuously measure particle size, moisture, and mineral composition. Edge‑level analytics and machine‑learning models deliver instant insights and predictive alerts that integrate with existing mine management systems, helping operators optimize ventilation, blasting, and material handling while improving safety.
Funding
Funding not disclosed
Founders
Product
Problem
Underground mining operations often rely on delayed laboratory analyses or manual sampling to assess muck particle size, moisture, and mineral composition at the drawpoint. This lag hampers timely decision‑making, reduces material handling efficiency, and can increase safety risks when conditions change unexpectedly.
Solution
MuckEye offers a real-time muck assessment platform that installs machine‑vision and multi‑spectral IoT sensors directly at the drawpoint. The sensors continuously capture particle‑size distribution, moisture levels, and mineralogical texture, while edge‑level analytics calibrated to material properties process the data instantly. Machine‑learning models generate actionable insights and predictive alerts, enabling operators to adjust ventilation, blasting, and material handling on the fly. The platform integrates with existing mine management systems, presenting live dashboards and automated warnings when predefined thresholds are exceeded, thereby enhancing safety and operational efficiency.
Target Audience
Primary customers are underground mining companies, mine operators, and processing plant managers who require continuous material characterization to optimize safety, ventilation, and ore handling decisions.
Features
- High‑resolution cameras and multi‑spectral sensors for on‑site particle‑size classification and distribution analysis
- Real‑time moisture content detection to monitor drawpoint conditions
- Mineralogy sensing that identifies variations in ore composition at the point of extraction
- Edge computing analytics calibrated with R&D‑backed models for immediate data interpretation
- Predictive analytics and automated alerts that trigger when safety or performance thresholds are crossed
- Open integration layer compatible with existing mine management and control systems
- Robust connectivity solutions designed for harsh underground mining environments