Optimizing Haul Truck Routes with Edge-AI
How real-time neural networks on onboard sensors are reducing fuel consumption and cycle times in open-pit mines by 18%.
Read ArticleLatest developments in neural-network-driven control systems for autonomous mining and mineral processing.
How real-time neural networks on onboard sensors are reducing fuel consumption and cycle times in open-pit mines by 18%.
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A technical deep dive into our middleware solution that brings predictive maintenance to existing mineral processing plants without downtime.
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Case study on a neural network system that analyzes gas levels and structural vibrations to predict and alert personnel of potential hazards.
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Leveraging computer vision and AI to adjust crusher and mill parameters on-the-fly, maximizing ore throughput and concentrate quality.
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Exploring the shift from individual vehicle intelligence to a centralized neural network managing entire fleets of autonomous mining equipment.
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How our control systems predict battery usage and schedule charging to align with renewable energy availability, cutting operational costs.
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