Airborne systems capture the open mine terrain and geography as aerial images and analyse them manually to provide valuable insights. This process is effort-intensive and error-prone with a long lead time.
There is a need for acquiring spatial data remotely and more frequently and integrate the data with systems that automate the ingestion, analysis and publication processes. This approach automates the entire value chain and ensures the safety of the workforce.
The client required a partner with strong consulting and execution expertise in deep learning and computer vision and who could help achieve the defined business goals.
Key Challenges
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TALK TO EXPERTSExtraction of the following datasets which typically require considerable manual effort help as enablers for analysis of a range of safety-critical controls
Road centrelines
Road edges
Pit crest and toe (active mining) area perimeter edges
This complete process was automated through image analytic techniques which helped reduce the execution time by 75% for a typical 1000 km radius area.