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Robot for autonomous inspection in Data Centers
Draw on scarce staff and stay exposed to human error. Narrow aisles, uneven flooring and heat make every round harder, while demand for real-time monitoring keeps rising.
Automated patrols cover predefined routes, cutting reliance on manual inspection labor across the facility.
Real-time sensing flags overheating, unusual sound and vibration before conditions turn into failures.
Repeatable routes and checkpoints raise consistency and precision across complex infrastructure layouts.
Faster anomaly detection supports quicker action, helping protect uptime and reliability across the facility.
How NTT DATA helps
Robotic patrols get configured to navigate narrow aisles, uneven flooring and other obstacles across the facility.
RGB cameras, LiDAR, thermal imaging and environmental sensors capture the conditions each asset needs assessed.
Inspection data gets analyzed in real time to recognize asset types and flag hotspots and visible defects.
Teleoperation lets operators take direct control of the robot for closer inspection or added investigation.
APIs link robotic monitoring to existing platforms, while a digital twin supports training and route development.
Autonomous patrols take on repetitive route based checks, while remote human control stays available.
Multimodal sensors analyze equipment and environmental conditions in real time, catching abnormalities early.
Automated detection and control room alerts help teams act on overheating and unusual conditions sooner.
Earlier detection of equipment issues supports safer operations and helps protect service reliability.
Shape the conversation that keeps every data center asset seen, measured and protected.
