Invention:
AggSize is an AI-powered mobile application designed to simplify and enhance rock size analysis for smaller mining sites. The technology processes captured images through a convolutional neural network (CNN) model to deliver accurate assessments of rock size distribution, a critical factor in mining quality control. By leveraging advanced neural networks and cloud-based computation, AggSize delivers results in real-time, complementing traditional laboratory tests. By providing immediate feedback, AggSize helps mining operators monitor and optimize production processes, enhancing efficiency and quality control for smaller-scale mining operations.
Background:
Mining operations rely on accurate rock size analysis to optimize production processes and ensure quality control. Current methods, such as manual sieving and lab-based particle size analysis, are time-intensive and often impractical for smaller sites due to cost and equipment limitations. Existing tools, like desktop software or expensive hardware setups, lack portability and accessibility. AggSize addresses these challenges by offering a mobile solution that is affordable, efficient, and easy to use. Its AI-driven approach eliminates delays and inconsistencies associated with manual methods, making rock size analysis more accessible to small and medium-scale operations.
Applications:
- Mining and geological engineering
- Quality control in mineral processing
- Resource management and planning
- Construction
- Environmental monitoring
Advantages:
- Affordable and accessible for smaller mining operations
- Real-time results streamline decision-making
- Portable and user-friendly mobile app
- Complements traditional quality control methods without replacing them
- Reduces reliance on expensive and time-consuming laboratory tests
