SwedenManufacturing2021 – ongoingBoliden
AI analysis of mine-monitoring camera feeds at Garpenberg
Boliden reported saving 2 hours daily after AI began screening Garpenberg camera feeds
Problem
Employees at Garpenberg spent time watching live camera streams to monitor mine conditions. Earlier sensors had been expensive and difficult to automate.
Approach
Boliden connected its camera network to other mine systems using Microsoft Azure IoT services. AI image analysis screened the feeds before human examination, including assessments of dam stability.
Results
Takeaway
Screening existing camera feeds reduced the time employees spent watching them manually. The reported saving did not establish a reduction in accidents.
Categories
- Industry
- Manufacturing
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Computer vision
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Company's own claim
Sources
Source summaries
Mine described AI screening of camera feeds at Garpenberg and quoted its IT manager about the previous manual monitoring workload. It reported savings of 2 hours daily after deployment.
Full details are in the original sources.
