Identify Property Risk Factors with AI-based computer vision and Geospatial Imagery. Examples: skylights, solar panels, pools and trampolines. Detect Structure attributes including roof footprint, roof material, roof type, roof condition and vegetation overhang. Track changes on many property features to take into consideration upon policy renewal (e.g. deterioration of roof condition, additional structures, and more)
Understand the Use-case under 5 minutes
Video (3 minutes)
In this video you will see how valuable property attributes combined with a simple API allow investors and insurers to better select properties, evaluate risk, and streamline underwriting processes.
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Video (2 minutes)
See how the insurance ecosystem has unprecedented access to make critical decisions across the entire policy lifecycle from mitigating risk and calibrating price, to supporting underwriting and renewals.
Watch
Get to know more Business and Technical details about the use-case (15-30 minutes)
More detailed introduction covering business and technical aspects
White Paper (16 minutes)
In this white paper the authors discuss how AI technologies are reshaping the future of the Property & Casualty Insurance Industry, particularly across property underwriting
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Article (9 minutes)
See how high-resolution imagery along with AI can help insurers achieve Profitable Growth through effective underwriting. Bringing speed, accuracy, and fraud detection to to Claim processing, and supporting Risk Control and audit transformation
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Article (7 minutes)
Learn How Real Estate Stakeholders, Financial Institutions, and Insurance Carriers Can Assess Property Attributes remotely Using Property Intelligence Data and Platforms
ReadCase studies, Organizational Aspects, Return on Investment examples
Case Study (4 minutes)
CSAA Insurance Group improved underwriting and efficiency with Avanta Ventures’ Portfolio company Cape Analytics’ AI-based property intelligence: Reduce unnecessary inspections, and providing more accurate Pricing
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Case Study (3 minutes)
Learn how Z-FIRE™ estimated 7% of properties in California to have a true high wildfire risk exposure (compared to 15% from legacy models)
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Case Study (2 minutes)
Learn how a 160-year-old insurance company solved its free imagery reliability problem with real-world solutions from Athenium Analytics
ReadMore details on the technical aspects of the use-case
Video (57 minutes)
Technical session for Esri’s ArcGIS Deep Learning tools for Imagery Feature Extraction. Includes a demo for Insurance Damage Assessment for faster Claim processing at 36:27
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Article (5 minutes)
In this article, we’ll explore how TensorFlow can help to analyze satellite/aerial/street view imagery of buildings to deliver risk-related details of property.
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Technical resources that will help you implement the use-case (notebooks, tutorials..)
Tutorial + Data
In this lesson, you will perform automated damage assessment of homes after the devastating Woolsey fires - using Esri’s ArcGIS Deep Learning tools
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Github Repo
Raster Vision is an open source Python framework for building computer vision models on satellite, aerial, and other large imagery sets (including oblique drone imagery).
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Github Repo
A curated list of resources focused on Machine Learning in Geospatial Data Science.
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End to End Deep Learning workflow for detecting Swimming Pools using ArcGIS API for Python. Could benefit property analysis needed upon policy renewal or assessment for a new customer
Read
Esri’s ArcGIS Deep learning model to detect solar panels in high resolution imagery. Could benefit property analysis needed upon policy renewal or assessment for a new customer
Read
Data Sets you can use to build Demos, POCs, or test Algorithms
List of aerial and satellite imagery datasets with annotations for computer vision and deep learning. Newest datasets at the top of each category (Instance segmentation, object detection, semantic segmentation, scene classification, other).
Maxar’s data for selected sudden onset major crisis events. 16 events, Data from 14 countries, 1,834,152 sq km of imagery released since 2017, and 92 events activated since 2017
List of labeled datasets, projects, and papers relevant to classifying satellite imagery using deep learning
Off-the-Shelf Products using AI for Property Inspection
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