This document introduces Skyglyph, a cloud-based solution that uses computer vision, drones, and satellites to help insurance companies with crop monitoring and loss adjustment. It outlines challenges with the current manual crop insurance claims process. Skyglyph's solution segments and analyzes aerial images to accurately assess crop damage, risks, and losses in a more efficient 4-step process: 1) map fields, 2) collect aerial data, 3) automatically process images, and 4) segment and analyze images using machine learning to detect risks. This helps save insurance companies time and money while reducing fraudulent claims.

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Quick Guide for Crop Insurance:
How to start use computer vision, drones, and satellites
for crop monitoring and loss adjustment.
Skyglyph
2018

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Crop Insurance Challenges
Currently, the crop insurance claims process is cost and time consuming
● Providing assessment manually often leads to inaccurate loss estimation
● Often, claims processing is impossible due to ongoing natural disasters
● Fraudulent claims are not rare
● Lack of reliable data about past incidents and current state of crop leads
to incorrect insurance premiums

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Solution
Using a fusion of Images Segmentation, Big Data and Machine Learning
Scouting with
Drones
Upload images
Analyse images, assess damages,
detect risks
Use Satellite maps
Use Smartphone or
Photocamera

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Skyglyph: Aerial Intelligence for Insurers
Cloud solution for Insurance Companies
MultiOrg& User
Management
Orthophoto Maps
Generation
Sharing
Analytics and
Reporting
(NDVI, VARI,
etc)
Ground
Scouting
Aero Scouting Detailed
Samples
In Field Express
Analyzer
Import /
Export
Mission
Planning
Images
Segmentation
Assets
Mapping

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Skyglyph: Aerial Intelligence for Insurers
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1. Plan
AeroScouter
Ground Scouter
3. Process 4. Analyse
InField
Analyzer
Skyglyph Cloud
2. Collect
Ready-to-Use simple 4-steps Business Process

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Step 1. Map your Fields
And plan scouting activities
- Fields Mapping
- Create Scouting Mission
- Scouting Planning
- Team Management
- Security and Access
Management
- Build Custom Applications
and Reports

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Step 2a: Collect Data from Fields from Drones
Works with DJI drones by One Button
- Create Scouting Mission with Skyglyph
Cloud
- Mission is automatically imported into
mobile app
- Run and Manage Mission with one
button in the field
- Upload images in the Skyglyph Cloud

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Step 2b: Collect Data from Fields with Smartphones
- Enables manual measurement of fields borders
and sample photos from any smartphone
- Collection of photos from the field
- Ability to upload samples to Skyglyph Cloud
Mobile application Skyglyph GroundScouter

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Step 2c: Data from Satellites
Crops Timeline With Satellites
● Periodical monitoring and
imagery delivery to assess
and respond to massive
claims events quickly and
efficiently.
● Use before and after
imagery of fields to assess
damage and facilitate
claims adjuster visits
● Visual, NDVI, GNDVI,
NDWI, SAVI, NDRE,
Moisture Index maps
1 Feb31 Jan30 Jan

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Step 3. Processing
Fully automatic business flow
● Generation of orthomosaics based on raw
photos
● NDVI and VARI generation
● Placement and preview of sample
precision photos on the map

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Step 4. Segmentation and Analysis
How we can detect risks with segmentation and Machine Learning
● Collection of samples, based on
orthophotos and detailed photos
● Segmentation by samples
● Damages, weeds and diseases
identification
● Damage measurement
● Training of Machine Learning engine and
detect risks automatically
1- Original Crop
2- Examples Selections
3 - Segmented Field
4- detailed photos
1 2
3
4

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The Skyglyph Value
Save time, money, accelerate the claim cycle, and avoid fraud
● 5x-10x decrease in the amount of time it takes to process a claim
● up to 5% surveying cost reduction
● 15-30% decrease in loss payouts
● 10% reduction in fraudulent claim payouts
● Increased objectivity and precision of property damage assessment
● Ease of output sharing with key stakeholders (farmers, crop consultants, farmer suppliers,
etc.)

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Thank you.
Victor Yermak,
CEO of Skyglyph,
victor.yermak@skyglyph.com