Development of and A.I. Computer Vision based Defective Roadside Fixtures Detection System

I&T Solution Development of and A.I. Computer Vision based Defective Roadside Fixtures Detection System
(REF: S-1645)
Trial Project
Solution Feature
  • Precise locationing road image capture vehicle with GNSS, IMU and Odometer
  • Real-time Masking of Facial Features of Human and Car Plates before saving image information into SSD of road survey computer
  • A.I. processing Workstation for Roadside Fixtures defects detection
  • Roadside Fixtures Defects detection A.I. and Geolocationing Algorithm for locating defects on HK1980 coordinates system
  • GIS based Road Defects Detection Management System
Trial Application and Expected Outcome
  • Develop new A.I. algorithms for detecting whether the roadside fixture in the street image is normal or defective.
  • Deformed factor analysis
  • Corrosion detection
  • Risk indicator consolidation
Info on I&T Solution Provider
Solution Provider:Insight Robotics Ltd
Address:316,16W Science Park West Ave, Science Park, Shatin, New Territories
Contact Person:Rex Sham
Position:CEO
Tel:23252777
Email: rex.sham@insightrobotics.com
Webpage: www.insightrobotics.com

For details of the above I&T solution, please contact the I&T solution provider.