Cynefin is a Welsh word meaning haunt, habitat, acquainted, accustomed, familiar. It carries with it a sense of rootedness--temporal, physical, cultural or spiritual. The word is similar in meaning to Heimat in German and has been compared to the Maori word turangawaewae, a place to stand. The idea of the Cynefin framework is that it offers decision-makers a "sense of place" from which to view their perceptions.
The goal of this project is to utilize, analyze and store multiple streams of raster & vector location related data, to create a multi-modal remote sensing platform for Louisville Metro Government.
There are any number of use cases for leveraging image-related data within a governmental body. This Innovation Project not only leverages existing or low cost commodity hardware for remote sensing & data collection, it also proves that low cost and intelligent smart city technology is in the reach of most cities.
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General: Environmental GIS data capture
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General: Built Environment Analytics
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General: Vehicle Make/Model Analytics
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Public Safety: Real Time Crime Center
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Public Works: Asset Identification & Cataloging
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Traffic: Flow & Usage Analysis
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Predictive Pavement Condition
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PARC: Enforcement
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Sustainability: Tree Identification
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Air Pollution Control District: Vehicle Make/Model Analytics for Pollution
- https://blog.mapillary.com/update/2018/01/12/helsingborg.html
- https://blog.mapillary.com/update/2018/01/15/autonomous-intelligent-driving-mapillary-vistas.html
KYTC has a photolog viewer from their asset collection vehicles. I believe they run interstates once a year and state routes every 2. Chad Shive ([email protected]) is the engineer over that program but it appears Jason Watson is the Technician that oversees it.
https://transportation.ky.gov/Maintenance/Pages/Pavement-Data-Collection.aspx
Proof of Concept
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Commodity based modified hardware
- Yi 4K Action Camera
Public Safety Pilot
Real Time Crime Center Axis camera integration
Phase 1
- Existing Public Safety video sensor network (potential DeepLens hook?)
- Drone imagery
Phase 2
- Axon (Taser) video sensors
- Multiple LIDAR sources
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S3 block storage
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Machine learning services
- Amazon SageMaker (build ML training models)
- Amazon Rekognition
OpenALPR
| Requests | Cost |
|---|---|
| 2,000 | Free |
| 50,000 | $49/month |
| 250,000 | $195 |
| 2,000,000 | $995 |
Mapillary
| Requests | Cost |
|---|---|
| 50,000 | Free |
| 500,000 | $250 |
| 500,000+ | Contact |
Remote sensing
GIS
LIDAR
AWS
Machine Learning