Construction Site Productivity Measurement Using Machine Vision
Patent Information
- Authority / Receiving Office
- DE · DE
- Patent Type
- Patents
- Current Assignee / Owner
- TRIMBLE INC
- Filing Date
- 2021-02-23
- Publication Date
- 2026-05-27
AI Technical Summary
Existing systems face difficulties in tracking the productivity of heavy equipment across multiple contractors and subcontractors due to provider-specific monitoring devices, leading to inefficiencies and increased network costs from data transmission.
An image capturing system using computer vision and machine learning to identify and track heavy equipment at an earthmoving site, performing image classification, object detection, and photogrammetry to determine 3D positions, while selectively sending data to a remote server to minimize bandwidth usage.
Enables efficient and versatile monitoring of heavy equipment productivity across different contractors, reducing network costs and improving data processing efficiency by performing computations locally.