LogiMove AI Damage Detector LogiMove CheckMobile Global Our AI solution to detect mechanical damages on your equipment.

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)

TechLearnTalk - An Introduction to AI - WFP Case Study SKAI Artificial intelligence and aerial imagery in emergencies; uses Artificial Intelligence (AI) and satellites to help World Food Program (WFP) reduce the amount of time needed to understand the impact of disasters. By using Artificial Intelligence (AI) to analyze images provided by satellites, WFP can respond to emergencies without the delays and logistics obstacles associated with a traditional response. Skai dramatically speeds up the process of determining what has happened, what to expect on the ground, and help define the kind of support that is required. UN Innovation Network. Your gift could be the difference between a child going to bed hungry or eating a nutritious meal. WFP does whatever it takes to deliver lifesaving food to children and families most in need, wherever they are in the world, by providing meals in schools, distributing staples during emergencies and delivering food vouchers in conflict zones. https://secure.wfpusa.org/donate/save-lives-giving-food-today-donate-now-29

Damage assessment using deep learning in ArcGIS Discover how to leverage deep learning capabilities in the aftermath of a natural disaster to speed up response and recovery efforts.

Fire

FireNET - Real-time fire detection with AI FireNet is a real-time fire detection project created to ensure that artificial intelligence systems can be trained to detect fires instantly and eliminate false alerts. Learn more via the GitHub link below. https://github.com/OlafenwaMoses/FireNET

Unleash live - Fire Damage A.I. Powerful live video streaming for detecting and assessing structural damage due to fire.

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

Damage Assessment & Classification Talk 2: Application of ML to Post-Earthquake Damage Assessment DesignSafe-CI Media civil and environmental engineering professor Henry Burton highlighting research

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.

DirectIndustry e-magazine \| Tchek Uses AI for Vehicle Inspection Fewer and fewer sectors today are holding out when it comes to artificial intelligence. That latest convert: the car rental industry. AI offers undeniable advantages when it comes to assessing the state of a vehicle, which has not gone unnoticed by Olympic Location, a French rental company. They have just installed an artificial intelligence device capable of scanning the bodywork of their rental vehicles to detect any damage. The technology was developed a French start-up, Tchek, in Marseille in 2016 with the ambition to automate the inspection of vehicles. The inspection terminals are equipped with high-resolution cameras capable of taking 1,000 photos in just a few seconds as the vehicle goes through. Artificial intelligence then analyzes the images and makes an assessment. 80% of the damage identified is scratches, cracks and dents. But the machine is constantly learning to improve its knowledge of damage and thus improve detection. 20,000 vehicles have already been inspected by Tchek machines in France.

Motor Insurance Accident Assist \| GL Projects Showcase AI & ML \| Great Learning Our Vision to provide human comparable intelligent services to the insurance industry at a low cost. Our Mission is empowering insurers to provide quick, efficient and transparent customer engagement through technology. In short-term we would Eliminate the need for physical inspection required on minor accidents by 100%, Reduce the processing time to complete accident based claims by 90%, Bring transparency and consistency in claim procedures, And for long term 2-3 Years - Eliminate manual inspections for major accidents, 4-5 Years - Expand to Europe and the Americas. Visit Great Learning Academy, to get access to 80+ free courses with 1000+ hours of content on Data Science, Data Analytics, Artificial Intelligence, Big Data, Cloud, Management, Cybersecurity and many more. These are supplemented with free projects, assignments, datasets, quizzes. You can earn a certificate of completion at the end of the course for free. https://glacad.me/3duVMLE