Effectiveness of drilling and blasting operations depends on explosives. Proportion of explosive substances affects the grain sizes. The larger the grain size is, the less effective the excavator work is. The smaller the grain size is, the more expensive explosives were used. There is a strong need to have well balanced cost-effectiveness parameters in drilling and blasting operations.
Task: create statistics of grain sizes in the excavator's bucket for better planning of drilling and blasting operations.
The effectiveness of drilling and blasting operations is usually estimated manually by a blasting expert. This manual statistical analysis takes a lot of time to carry out.
Our solution: to create statistics of grain sizes in the excavator bucket with Computer Vision algorithms.
- various temperature conditions
- any type of excavator
- any visual conditions (nighttime, rain, snowstorm, camera lens contamination)
- various soil types
Our solution is deployed to SUEK excavators.Made in collaboration with Zyfra company. Уou can buy ready to deploy box solution from zyfra.ai website directly or contact us to provide more technical information about this product.