Operational Intelligence through Computer Vision
As organisations continue to invest in automation, operational excellence and data-driven decision-making, the ability to derive actionable intelligence from video streams is becoming increasingly important. This report examines the technology landscape for computer vision-based industrial monitoring, evaluates alternative implementation approaches, and outlines a recommended framework that balances accuracy, scalability, operational complexity and total cost of ownership.
Key themes
- Object detection and tracking
- Rule-based and ML anomaly detection
- VideoLLM-assisted analysis
- Total cost of ownership