Solution: Time Series Forecasting for Neural Control

Benefits

Our system alerts operators if vehicles are too close to each other or are approaching hazardous zones.

Constant, real-time surveillance minimises the human error associated with manual monitoring. 

Information about vehicle movement can be logged automatically, saving time and reducing errors. 

Operators can swiftly focus on any vehicle in the panoramic snapshot, allowing them to make faster, data-driven decisions.  

Automated controls can be more energy-efficient, optimising the use of lighting, heating, and cooling in camera-equipped areas. The automation reduces the need for a large number of human operators to monitor multiple screens.

Technology

The rich visual data can be integrated into other machine learning algorithms or data analytics tools for further insights. The system can be easily scaled and implemented across the whole mining operations from pit to port. Over time, the Minealytics system has the capability to learn to detect anomalies or recognise patterns that could indicate inefficiencies or safety concerns. Coupled with AI, the system can predict maintenance schedules for vehicles, track wear and tear, and offer other operational insights. The system is modular, allowing for easy updates and adaptations as new technologies become available or as needs change. While the initial setup cost of any camera system might be high, the long-term benefits in terms of safety, efficiency, and resource optimization make it a cost-effective solution.