Tensorflight - Actionable insights from aerial imagery
-
Upload
project-juno -
Category
Technology
-
view
173 -
download
4
Transcript of Tensorflight - Actionable insights from aerial imagery
![Page 1: Tensorflight - Actionable insights from aerial imagery](https://reader033.fdocuments.us/reader033/viewer/2022042611/58e98a141a28aba6498b641b/html5/thumbnails/1.jpg)
Actionable insights from aerial imagery
![Page 2: Tensorflight - Actionable insights from aerial imagery](https://reader033.fdocuments.us/reader033/viewer/2022042611/58e98a141a28aba6498b641b/html5/thumbnails/2.jpg)
Agenda
TensorFlight demo
How does our software work?
How can we tailor our software to your needs?
Who are we and who are our clients?
Market analysis
![Page 4: Tensorflight - Actionable insights from aerial imagery](https://reader033.fdocuments.us/reader033/viewer/2022042611/58e98a141a28aba6498b641b/html5/thumbnails/4.jpg)
![Page 5: Tensorflight - Actionable insights from aerial imagery](https://reader033.fdocuments.us/reader033/viewer/2022042611/58e98a141a28aba6498b641b/html5/thumbnails/5.jpg)
![Page 6: Tensorflight - Actionable insights from aerial imagery](https://reader033.fdocuments.us/reader033/viewer/2022042611/58e98a141a28aba6498b641b/html5/thumbnails/6.jpg)
![Page 7: Tensorflight - Actionable insights from aerial imagery](https://reader033.fdocuments.us/reader033/viewer/2022042611/58e98a141a28aba6498b641b/html5/thumbnails/7.jpg)
![Page 8: Tensorflight - Actionable insights from aerial imagery](https://reader033.fdocuments.us/reader033/viewer/2022042611/58e98a141a28aba6498b641b/html5/thumbnails/8.jpg)
![Page 9: Tensorflight - Actionable insights from aerial imagery](https://reader033.fdocuments.us/reader033/viewer/2022042611/58e98a141a28aba6498b641b/html5/thumbnails/9.jpg)
![Page 10: Tensorflight - Actionable insights from aerial imagery](https://reader033.fdocuments.us/reader033/viewer/2022042611/58e98a141a28aba6498b641b/html5/thumbnails/10.jpg)
![Page 11: Tensorflight - Actionable insights from aerial imagery](https://reader033.fdocuments.us/reader033/viewer/2022042611/58e98a141a28aba6498b641b/html5/thumbnails/11.jpg)
![Page 12: Tensorflight - Actionable insights from aerial imagery](https://reader033.fdocuments.us/reader033/viewer/2022042611/58e98a141a28aba6498b641b/html5/thumbnails/12.jpg)
Agenda
TensorFlight demo
How does our software work?
How can we tailor our software to your needs?
Who are we and who are our clients?
Market analysis
![Page 13: Tensorflight - Actionable insights from aerial imagery](https://reader033.fdocuments.us/reader033/viewer/2022042611/58e98a141a28aba6498b641b/html5/thumbnails/13.jpg)
TensorFlight - team and current usersTeam Users
Drone service partners:
Direct users:
Founders
Advisors
Other Subcontractors - map annotators ● Training data set preparation
Robert Kozikowski● Ex-Google and Facebook engineer● Big data and scaling
Zbigniew Wojna● Deep learning Ph.D. at UCL (World records)● Google DeepMind, Brain Street view, Microsoft, Nvidia
Jan Malaszkiewicz● Strategy consultant, Boston Consulting Group
Deep learning experts● Pieter Abbeel, professor at UC Berkley, OpenAI● Kyunghyun Cho, professor at NYU● Marcin Moczulski Ph.D.
More than 1000 users on DroneDeploy
![Page 14: Tensorflight - Actionable insights from aerial imagery](https://reader033.fdocuments.us/reader033/viewer/2022042611/58e98a141a28aba6498b641b/html5/thumbnails/14.jpg)
Source: https://blogs.nvidia.com/wp-content/uploads/2014/09/InsideImagenet.png
Zbigniew - The best model on Image Classification ImageNet 2015
![Page 15: Tensorflight - Actionable insights from aerial imagery](https://reader033.fdocuments.us/reader033/viewer/2022042611/58e98a141a28aba6498b641b/html5/thumbnails/15.jpg)
Zbigniew - The best model on MS COCO detection challenge 2016
Source: https://adriancolyer.files.wordpress.com/2016/04/imagenet-fig4l.png?w=1132
![Page 16: Tensorflight - Actionable insights from aerial imagery](https://reader033.fdocuments.us/reader033/viewer/2022042611/58e98a141a28aba6498b641b/html5/thumbnails/16.jpg)
Agenda
TensorFlight demo
How does our software work?
How can we tailor our software to your needs?
Who are we and who are our clients?
Market analysis
![Page 17: Tensorflight - Actionable insights from aerial imagery](https://reader033.fdocuments.us/reader033/viewer/2022042611/58e98a141a28aba6498b641b/html5/thumbnails/17.jpg)
• DJI drones via DroneDeploy auto pilot app
• Your own aerial imagery - aircraft, drone or satellite
• Terravion
• Orthonormalization and tiling via DroneDeploy or OpenDroneMap
• Request processing directly from TensorFlight or via DroneDeploy app
TensorFlight specializes in Computer Vision
Image analysisMaps formattingData collection
• Accurate - State of the art computer vision via deep learning
• Quick - Scalable, distributed deployment in the cloud
• Usable - Analyze results in depth on web frontend
TensorFlight
![Page 18: Tensorflight - Actionable insights from aerial imagery](https://reader033.fdocuments.us/reader033/viewer/2022042611/58e98a141a28aba6498b641b/html5/thumbnails/18.jpg)
We are expanding our Computer Vision capabilitiesAvailable today:• Trees: healthy, unhealthy, dead• Livestock• Cars• Parking spots• Houses• Crops• People
Development in progress:• Trees – recognition of tree type through
crowdsourcing our users• Recognition from plane imagery• Area estimation of plantations• Area estimation of rooftops• Area estimation of damaged rooftops
![Page 19: Tensorflight - Actionable insights from aerial imagery](https://reader033.fdocuments.us/reader033/viewer/2022042611/58e98a141a28aba6498b641b/html5/thumbnails/19.jpg)
Showcase - Successful app on DroneDeploy platformTensorFlight
• Dead / Healthy tree counter• Histogram of tree sizes• More than 200 000 acres of land mapped
in our database
![Page 20: Tensorflight - Actionable insights from aerial imagery](https://reader033.fdocuments.us/reader033/viewer/2022042611/58e98a141a28aba6498b641b/html5/thumbnails/20.jpg)
1000+ users across the World
![Page 21: Tensorflight - Actionable insights from aerial imagery](https://reader033.fdocuments.us/reader033/viewer/2022042611/58e98a141a28aba6498b641b/html5/thumbnails/21.jpg)
Agenda
TensorFlight demo
How does our software work?
How can we tailor our software to your needs?
Who are we and who are our clients?
Market analysis
![Page 22: Tensorflight - Actionable insights from aerial imagery](https://reader033.fdocuments.us/reader033/viewer/2022042611/58e98a141a28aba6498b641b/html5/thumbnails/22.jpg)
Step 1: Gathering maps
Step 2: Human annotation of examples to create a training data set (10K-100K examples needed) – we have our own subcontractors
• Image detection - rectangle around each object - 1 month ETA• Image segmentation - detailed line around object and the volume - 3 months ETA
Step 3: Using the training data set to adapt our algorithm
Step 4: Processing the production data set
Our algorithm can be adapted to other object categories
Algorithms achieve human level accuracy on the majority of computer vision tasks
![Page 23: Tensorflight - Actionable insights from aerial imagery](https://reader033.fdocuments.us/reader033/viewer/2022042611/58e98a141a28aba6498b641b/html5/thumbnails/23.jpg)
How to map an area?
Small/Medium Big Huge• Purchase a DJI drone• Take pictures, convert to
map format
• Find a company operating a fleet of drones
• Payment method: price per acre
• Example: find a provider on DroneDeploy Mapping Directory
• Use Terravion
• Dependent on needed level of detail
• Consider satellite imagery (price effective, but potentially not enough detail): Planet Labs
![Page 24: Tensorflight - Actionable insights from aerial imagery](https://reader033.fdocuments.us/reader033/viewer/2022042611/58e98a141a28aba6498b641b/html5/thumbnails/24.jpg)
Agenda
TensorFlight demo
How does our software work?
How can we tailor our software to your needs?
Who are we and who are our clients?
Market analysis
![Page 25: Tensorflight - Actionable insights from aerial imagery](https://reader033.fdocuments.us/reader033/viewer/2022042611/58e98a141a28aba6498b641b/html5/thumbnails/25.jpg)
Reference point – total market size estimates2020 addressable market
Conservative estimate for orchard-related product market is $90m in 2020
OtherInsurance
7
TotalAgriculture
World total permanent crops (orchards, vineyards) land area: ~470m acres1
Innovation adoption rate follows typical Bass diffusion model2, conservative scenario: each acre covered only once
1000
400500
300200
90
Cumulative coverage of permanent crops (m acres)
Most applicable estimate for drone based solutions market size ambition: what is the market value of services that can be replaced by drones by 2020?
1. Source: Worldbank; 2. Standard forecast for adoption rate of a new technology superior to current products; 3. Source: PwC “Clarity from above” report
$B
Conservative scenario: we only play in Insurance area ($7B), not counting Agriculture market
Total addressable market by 2020: $90m, assuming: $1 drone plant-counting related revenue per acreWorldwide sales access and wide coverage of plant recognition models
This is a very conservative estimate – only for permanent crops, doesn’t consider multiple usage on the same area
![Page 26: Tensorflight - Actionable insights from aerial imagery](https://reader033.fdocuments.us/reader033/viewer/2022042611/58e98a141a28aba6498b641b/html5/thumbnails/26.jpg)
Q&A