AI-Enabled Construction Progress and Structural Defect Detection System

The client faces difficulties in automating progress tracking and early detection of structural issues across multiple construction sites. Manual visits by site managers are resource-intensive, delay issue identification, and risk overlooking critical defects, leading to increased costs and project delays.

A large-scale construction company operating multiple sites across regions, seeking to optimize progress monitoring and structural safety inspections through automation.

• Reduce site visits by providing real-time progress updates via a mobile application.
• Enable field workers to upload progress reports and photo documentation seamlessly from multiple sites.
• Automate detection of structural issues such as cracks, misalignments, and curvature with high accuracy (target > 92%).
• Accelerate issue identification to minimize delays and resource wastage.
• Implement scalable, secure cloud infrastructure supporting AI model deployment and data management.
• Improve communication and resource planning efficiency between site workers and management.

• Progress reporting interface for real-time task completion updates.
• Photo upload functionality with AR-assisted guidance to ensure high-quality images for AI analysis.
• Automated AI models to identify structural defects such as cracks, misalignments, and curvature with an accuracy goal of over 92%.
• Cloud-based deployment of AI models on GPU servers for fast processing and seamless updates.
• Local caching of photos and progress data on mobile devices to support offline operation in low-connectivity environments.
• Background services for automatic data synchronization and uploads upon network availability.
• Manual review options for foremen to validate or dismiss AI-detected issues, improving model accuracy over time.
• Notification system delivering progress updates, issue alerts, and reports to management.

• Azure Blob Storage for secure, scalable photo and data storage
• AI GPU cloud services for fast processing of defect detection models
• Push notification services for real-time alerts and reports
• Authentication service (e.g., Azure App Service) for secure user access and identity management

• System scalability to support multiple construction sites and users concurrently
• Target AI detection accuracy of ≥92% for structural issues
• Fast processing response times suitable for real-time decision-making
• Robust offline functionality with local caching to operate effectively in low connectivity zones
• Data security and secure access via integrated authentication solutions
• Regular model updates and seamless deployment without requiring app updates

The implementation of this AI-powered construction progress and defect detection system is expected to significantly reduce on-site visits by site managers, streamline communication, and enhance issue detection accuracy—aiming for over 92% success rate—thereby decreasing project delays, minimizing resource wastage, and improving overall productivity across sites.