Assessing Damage

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• Case Studies
  • Meteorology
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• Risk, Compliance and Regulation
• Explainable Artificial Intelligence (XAI)

Assessing Property Damage with AI The critical task of​​ damage claim processing is typically labor-intensive and requires a significant amount of time. The deep learning tools within Esri ArcGIS sped up the process to provide ​aid to those affected by the Woolsey fire. This demo shows the workflow used; from training the deep learning model to inferring which automated the detection of damaged homes. For this demo, we used a client-server architecture which gives a clean separation of the roles of a Geographic Information System (GIS) Analyst and a Data Scientist. The GIS Analyst uses NVIDIA Quadro Virtual Data Center Workstation (Quadro vDWS) software to create, edit and explore spatial data. The Data Scientist uses NVIDIA Virtual Compute Server (vComputeServer) software to train/build a model which will then be used by the GIS Analyst to execute object detection inferencing. "To learn more about virtualization in the data center, and to try building and running this demo yourself using free trails of both virtual GPUs and ArcGIS (including the imagery used in this study from OpenAerialMap)

Earthquake

From earthquake to recovery: Assessing damage fast with AI and IoT A major construction company in Japan is outfitting buildings with artificial intelligence (AI), Internet of Things (IoT), and cloud technologies to automatically detect structural damage fast after a quake – saving lives, time, and money

Vehicle

Computer Vision Platform Assesses Vehicle Damage with Any Camera Ravin AI has developed software that can assess and record vehicle body damage with any camera.

Intelligent Car Damage Assessment Demo Learn more about AWS Innovate Online Conference at – https://amzn.to/2TVmli6 Whenever your policyholder is involved in an accident, it is critical to quickly assess whether the car is repairable or not, and dispatch it to the right workflow the very first time. The current processes rely on dozens of subjective questions that are not accurate and instead of asking your customer to answer questions at a moment of stress, simply ask them to take a few images, or assign this to the tow truck driver. This demo shows you how to claim insurance damages, hassle free and intelligently. Speaker: Anand Iyer, Enterprise Solution Architect, AISPL

Using Machine Learning to Automate Car Damage Assessment and Document Workflows Our team shares its experience with developing machine learning-based solutions that automate workflows within insurance, car rental/maintenance, finance, publishing, and other industries. The team showcases two solutions developed using Intel® Xeon® Scalable processors and the Intel® Distribution of OpenVINO™ toolkit on the Google Cloud Platform.

Tractable Demo: How to Evaluate Photo AI in 5 minutes Tractable AI Demo: We invited industry participants to submit vehicle collision photos and test our AI live during a webinar.