- Commodity Management & Trading
- Customer & Marketing Strategy
- Digital Engineering
- Station Studio
- Supply Chain & Industry 5.0
- Sustainability
Commodity Management & Trading
Transforming trading ecosystems through data-driven insights and secure, agile platforms that empower global commerce.
Customer & Marketing Strategy
Reimagining customer engagement with personalized, connected experiences that build trust and long-term value.
Digital Engineering
Turning ideas into scalable digital solutions—accelerating transformation through design, technology, and engineering excellence.
Station Studio
Redefining mobility hubs with digital innovation to create smarter, sustainable experiences for people and businesses on the move.
Supply Chain & Industry 5.0
Building resilient, intelligent supply networks that anticipate change and deliver efficiency with purpose.
Sustainability
Driving responsible innovation to help organizations achieve net-zero goals and create a positive impact for future generations.
Video Analytics For Dam Inspection
NTT DATA implemented a computer vision solution using drone imagery and AI models to automate dam inspections, accelerate anomaly detection, and improve environmental monitoring accuracy
Automated Detection
AI-driven identification of anomalies and terrain elements
Faster Analysis
Reduced inspection time through computer vision automation
Geospatial Visibility
Centralized orthophotographic inspection information
Environmental Monitoring
Improved detection of aquatic species and debris
AI-powered video analytics helped accelerate dam inspections while improving anomaly detection and environmental visibility
Accelerating Infrastructure Inspection Processes
Manual inspection workflows required extensive video review, slowing anomaly detection and reducing operational responsiveness
Key Challenges
Slow Manual Inspection Processes
Reviewing hours of drone footage delayed anomaly detection
Reviewing hours of drone footage delayed anomaly detection
Limited Inspection Efficiency
Traditional analysis methods slowed operational response times
Traditional analysis methods slowed operational response times
Complex Terrain Identification
Detecting terrain variations required greater analytical precision
Detecting terrain variations required greater analytical precision
Fragmented Geospatial Information
Inspection data lacked centralized visual coordination
Inspection data lacked centralized visual coordination
Environmental Monitoring Limitations
Detecting species and debris required more advanced capabilities
Detecting species and debris required more advanced capabilities
Solution
AI-powered video analytics for automated and scalable dam inspection
Drone Image Processing
Orthophotographic maps generated from aerial imagery
Machine Learning Models
AI models detected terrain anomalies automatically
Geospatial Coordination System
Centralized visualization of inspection information
Computer Vision Automation
Automated analysis improved environmental monitoring
Impact
Faster Inspection Cycles
Computer vision significantly reduced analysis times
Featured
success stories
success stories
Empowering field operations through digitalized service management and improving safety conditions trough connected worker technologies
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