AI-enabled Interactive Threats Detection using a Multi-camera Stereo Vision System

This research will develop a novel multi-camera stereo vision system for in-line pipeline inspection; the design integrates hardware prototyping and software development for fast, accurate, automated pipeline anomaly detection. Physics-based models are developed to evaluate the effects of identified threats and their interactions on pipeline safety.

• Supplemental Notes:
  • USDOT Research Hub DisplayID 157816

Language

• English

Project

• Status: Active
• Funding: $250000
• Sponsor Organizations:

  Pipeline and Hazardous Materials Safety Administration

  ,    
• Managing Organizations:

  Arizona State University

  Tempe, AZ  United States  85287
• Project Managers:

  Zhou, Zhongquan

• Start Date: 20190901
• Expected Completion Date: 20220901
• Actual Completion Date: 0
• USDOT Program: Pipeline Safety
• Subprogram: CAAP

Subject/Index Terms

• TRT Terms: Artificial intelligence; Cameras; Flaw detection; Inspection; Pipelines
• Subject Areas: Maintenance and Preservation; Pipelines;

Filing Info

• Accession Number: 01867772
• Record Type: Research project
• Source Agency: Department of Transportation
• Files: RIP, USDOT
• Created Date: Dec 16 2022 2:15PM