Computer Vision (CV)
Lifecycle stages:
MLOps journey description: This journey focuses on AI models that process and interpret visual data, enabling machines to “see” and understand images and videos. It leverages deep learning techniques for object detection, image classification, and segmentation.
Use case examples: Visual data analysis using image/video inputs for automation, safety, and asset monitoring.
- Leak detection on pipelines using video feeds or thermal imagery
- Automated inspection of offshore and onshore assets via drone footage
- PPE compliance monitoring at refineries and field sites
- Surface defect detection on pipelines and tanks
- Vehicle and personnel tracking in restricted zones
Related success stories:
- Dip Picking: An integrated solution that automatically identifies and calculates stratigraphic dips from azimuthal density images in real-time during the drilling of production wellbores (LWD data)