How the Construction Company Achieved Time Savings Required for Photo Documentation

Summary:

A subcontractor in the construction industry has saved thousands of dollars by avoiding chargebacks and rework, strengthened trust and collaboration with stakeholders, achieved significant time savings, and enhanced the accuracy of their progress tracking.

Client: 

Western Partitions Inc. (WPI), a leading specialty contractor in the Pacific Northwest, focuses on drywall, ceilings, framing, and related services. The company is known for its large-scale projects that demand meticulous attention to timelines, budget constraints, and stringent quality requirements. 

Problem Statement: 

WPI faced significant challenges in progress tracking and project management, especially on complex construction projects. Manual progress documentation, which involved taking photos and updating spreadsheets, was time-consuming and often prone to errors and delays. 

This traditional process limited visibility into real-time project status, making it challenging to quickly identify and correct issues, leading to increased instances of rework.

WPI was determined to find a better approach to improve documentation accuracy, streamline communication, and mitigate rework costs.

Results: 

• Avoided $10K+ in chargebacks and rework.
• Improved trust and coordination with stakeholders. 
• Achieved time savings required for photo documentation (7X faster).
• Benefited from more accurate progress tracking.

AI Solution Overview:

To address its challenges, WPI adopted OpenSpace, a computer vision and machine learning technology. OpenSpace leverages 360-degree cameras and AI to create accurate, real-time visual records of job sites. The tool automatically captures images and maps them to project plans, creating a comprehensive digital record that can be accessed from anywhere.

OpenSpace Track is a comprehensive set of tools designed for tracking and analyzing progress through the transformation of images into actionable insights. Using its advanced Spatial AI engine, OpenSpace Track allows for the segmentation, classification, and tracking of specific objects and systems over both time and space.

OpenSpace Track processes images to ensure they are aligned, located, and segmented accurately. Once processed, these images can be analyzed for progress tracking. Objects identified through detection or classified through semantic segmentation are mapped into 3D space using point cloud data and monitored over time. This creates a data-driven map of project activity that verifies completed work, supports coordination, and benchmarks productivity levels effectively.

References: 

1. How Western Partitions Saved on Rework and Improved Progress Tracking Using OpenSpace. https://www.openspace.ai/resources/case-studies/western-partitions/

Industry: Construction

Vendor: OpenSpace

Client: Western Partitions Inc.