Wind Turbines inspection present many challenging aspects, especially offshore: a very harsh environment, high costs and losses due to the significant duration of the inspections and turbines downtimes, the involvement of highly specialized technicians risking while climbing up and down each blade.
#UAV #Drone #AI
#UAV #Drone #AI
UAV Drone Wind Turbine Inspection
Wind Turbines inspection present many challenging aspects, especially offshore: a very harsh environment, high costs and losses due to the significant durati...
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Inspections in the oil & gas industry can be a costly and dangerous job. #Drones are a safe and cost-effective way to overcome these barriers.
#UAV #Drone #AI #DeepLearning #MachineLearning #NeuralNetworks
#UAV #Drone #AI #DeepLearning #MachineLearning #NeuralNetworks
Intel Falcon 8+ Drone transforms inspections conducted in the oil and gas industry | Intel Business
Inspections in the oil & gas industry can be a costly, dangerous job. Learn how the #Intel Falcon 8+ is reducing injury risk and creating cost savings. Subsc...
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Bridge Inspection Footage
Some sample footage from some Quality Drone bridge inspections! Check out our website! http://www.qualitydroneandmapping.com/
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The conventional bridge inspection methods, such as rope access and inspection car operations, are dangerous, difficult or inefficient, which cannot satisfy the current demand for inspection.
#UAV #Drone #AI #DeepLearning #MachineLearning #NeuralNetworks
#UAV #Drone #AI #DeepLearning #MachineLearning #NeuralNetworks
Drones Getting Smarter with AI | Intel
Drone pilot Kara Murphy and Intel Moviduis’ Cormac Brick explain why artificial intelligence and computer vision technologies are making drones easier to fly...
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UAV- / Drone-based retaining wall inspection – civil engineering
UAV- / Drone-based retaining wall inspection – civil engineering with the AscTec Falcon 8 at the Federal motorway in Germany. In Zusammenarbeit mit der Bauha...
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Tower Inspection With a Drone
Drones are a safe and cost effective way to inspect tall fixed structures such as radio and TV towers, cell towers, flare stacks, and other fixed antennas. S...
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Bridge Inspection Aerial Drone
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Presentation of the PANOPTIS framework at the #SECED2019 conference Greenwich, London by Dimitrios Vamvatsikos.
Autonomous visual navigation system for #drones and mobile robotics, using Deep #NeuralNetwork for visual perception and path finding
Autonomous Drone Navigation with Deep Learning. Flight over 250 meter Forest Trail
This video demonstrates our autonomous visual navigation system for drones and mobile robotics. The system uses Deep Neural Network for visual perception and...
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Wind turbine inspection with drone and damage analysis
Process flow of a inspection of a wind turbine with the AERO-SensorCopter drone. Analysis of the rotor-blades for damages and anomalies with the AERO-Lyse li...
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Road condition - traffic signal detection - VEDA Machine learning for transportation THEHEGEO
Road condition - traffic signal detection- VEDA Machine learning for transportation THEHEGEO
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#DeepLearning program to detect the surface type on pre-recorded #drone video. Check it out!
#MachineLearning #NeuralNetworks #AI #UAV
#MachineLearning #NeuralNetworks #AI #UAV
Land Features Detection on Drone Video with Deep Learning
Deep learning program to detect the surface type on pre-recorded drone video. Python program using Tensorflow to identify various types of land features, in ...
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Intel Commercial Drones Speed Up US Bridge Inspections
Traditional bridge inspection methods can be dangerous, costly and time-consuming, obstructing daily traffic patterns with road closures and relying on manua...
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Power line inspection using a #drone and #DeepLearning. How cool is that?!
#MachineLearning #NeuralNetworks #AI #UAV
#MachineLearning #NeuralNetworks #AI #UAV
Drone-based power line inspection using AI - Vattenfall project
This project was part of Vattenfall’s contribution to Vinnova’s “Drones of the future” programme. In this demo video we demonstrate the algorithms of powerli...
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Pothole Detection with Machine Learning - Prototype by Azati
At Azati Labs we developed a prototype powered by machine learning and computer vision that recognizes road defects and potholes. Technology stack: Python, C...
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Real-time rust detection. Watch more on the video!
#DeepLearning #MachineLearning #NeuralNetworks #AI
#DeepLearning #MachineLearning #NeuralNetworks #AI
Echtzeittracking Rosterkennung / Rust Detection
Have a look at our demo video which is very suitable for showing and teaching our end-to-end solution! With remarkable work from marina, training by lukas an...
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DETECTING POTHOLES using Computer Vision and Machine Learning
Potholes are one of the largest problems every city faces around the world. And it is getting worse as citizens are filing complaints to claim damages to the...
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Road Surface Inspection In Real Time
Test of a prototype system for real-time detection of the road surface damage and presence of the foreign objects
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Road damage detection using Deep #NeuralNetworks with images captured through a #Smartphone.
#DeepLearning #MachineLearning #AI
#DeepLearning #MachineLearning #AI
Road Damage Detection Using Deep Neural Network
for more Details: D00 : Liner crack, longitudinal, wheel mark part D01 : Liner crack, longitudinal, construction joint part D10 : Liner crack, lateral,equal ...
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Corrosion Detection in Power Lines using #MachineLearning and #NeuralNetworks (the black parts are not corroded)
Corrosion Detection
Corrosion Detection in Power Lines using machine learning and neural network
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Deep Rust Detection (Automagi's Deep Learning based Monitoring Service)
The Deep Learning based Rust Detection. - Visualization of a corrosion/rusted/damaged region of objects. - Sophisticated and realistic scoring mechanism of t...
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Underneath Bridge Inspection with Aertos120 Drone
The Aertos 120 drone conducts an inspection underneath a bridge in Kansas where GPS signals are unreliable. Its up / down vision provides photos and video to...
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This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 769129