MineSense Technologies provides a hardware and software system that utilizes proprietary algorithms to measure and report ore grade and characteristics in real-time at the extraction face. This technology reduces ore losses and waste dilution, enhancing recovery and profitability while minimizing environmental impacts in mining operations.
Funding
$183K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
MIFounders
Product
Problem
In mining operations, accurately determining ore grade and characteristics in real-time at the extraction face is challenging, leading to inefficiencies in ore processing and potential loss of valuable resources due to misclassification of ore and waste materials. Traditional methods often lack the precision needed for optimal decision-making during extraction.
Solution
MineSense Technologies offers a comprehensive hardware and software system designed to provide real-time ore grade and characteristic measurements directly at the extraction face. Utilizing proprietary algorithms and sensor technology, the system enables precise classification of materials, allowing for informed decisions regarding ore routing and processing. By integrating with existing mining equipment, such as shovels and conveyor belts, MineSense facilitates the separation of ore from waste, optimizing blending processes, and improving mine-to-mill reconciliation. The system's data-driven approach enhances recovery rates, reduces waste dilution, and minimizes environmental impact by ensuring that only the highest-grade material is processed.
Target Audience
The primary target audience includes mining companies seeking to improve ore recovery, reduce waste, and optimize their mining operations through real-time data and precise material classification.
Features
- Real-time ore grade and characteristics measurement at the extraction face
- Integration with existing mining equipment, including shovels (ShovelSense) and conveyor belts (BeltSense)
- Proprietary algorithms for precise material classification
- Data-driven insights for informed decision-making in ore routing and processing
- Optimization of blending processes for improved mill performance
- Enhanced mine-to-mill reconciliation for increased efficiency
- Integration with fleet management systems for automated truck re-routing based on material classification
- XRF scanning technology to distinguish between different ore grades