https://github.com/brianruizy/2019-microsoft-iot-hackathon
🥇 1st place winner | Bump.IT - Pothole detection and mapping. Using data science methods of analysis, mobile phone's telemetry, computer vision, and, deployed through Azure.
https://github.com/brianruizy/2019-microsoft-iot-hackathon
computer-vision data-science geocoding internet-of-things pothole-detection
Last synced: 7 months ago
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🥇 1st place winner | Bump.IT - Pothole detection and mapping. Using data science methods of analysis, mobile phone's telemetry, computer vision, and, deployed through Azure.
- Host: GitHub
- URL: https://github.com/brianruizy/2019-microsoft-iot-hackathon
- Owner: BrianRuizy
- License: mit
- Created: 2019-12-14T16:35:54.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2022-10-14T16:44:38.000Z (almost 3 years ago)
- Last Synced: 2025-03-17T05:44:37.604Z (7 months ago)
- Topics: computer-vision, data-science, geocoding, internet-of-things, pothole-detection
- Language: Jupyter Notebook
- Homepage: https://www.b-r.io/microsoft/
- Size: 6.08 MB
- Stars: 20
- Watchers: 3
- Forks: 5
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 🥇 **Bump.IT** | 2019 Microsoft IoT Hackathon
This application idea got us first place at a 24hr Microsoft Azure Sponsered Hackathon competition, partnered with [The Cannon](https://thecannon.com/), Houston TX.
[](https://www.b-r.io/microsoft/) Read [blog](https://www.b-r.io/microsoft/) post my website, which goes more in depth and how we built this.
## About
Bump.IT is a solution to the issues costing American drivers **$6.4 billion** dollars per year, that is in both repair and insurance cost's. Additionally, the average price to repair a pothole including labor is about **$30 - $50** / pothole, while the damage that single pothole may cause are up to **$300** /year/vehicle. Thus the effort to fixing the affected roads is extremely cost-effective.
(2016) [pothole.info](https://www.pothole.info/2016/05/so-many-potholes-so-much-cost/)
Having won the competition, post minimum-viable-product, granted us full access to MS Azure cloud infrastucture. Which we will employ for the future continued development of the application.
## Features (*End goals*)
* Live Computer Vision using OpenCV
* Geocoding/Mapping
## Contributors
[](https://sourcerer.io/fame/BrianRuizy/BrianRuizy/2019-Microsoft-IoT-hackathon/links/0)[](https://sourcerer.io/fame/BrianRuizy/BrianRuizy/2019-Microsoft-IoT-hackathon/links/1)[](https://sourcerer.io/fame/BrianRuizy/BrianRuizy/2019-Microsoft-IoT-hackathon/links/2)[](https://sourcerer.io/fame/BrianRuizy/BrianRuizy/2019-Microsoft-IoT-hackathon/links/3)[](https://sourcerer.io/fame/BrianRuizy/BrianRuizy/2019-Microsoft-IoT-hackathon/links/4)[](https://sourcerer.io/fame/BrianRuizy/BrianRuizy/2019-Microsoft-IoT-hackathon/links/5)[](https://sourcerer.io/fame/BrianRuizy/BrianRuizy/2019-Microsoft-IoT-hackathon/links/6)[](https://sourcerer.io/fame/BrianRuizy/BrianRuizy/2019-Microsoft-IoT-hackathon/links/7)
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#### © [Brian Ruiz](https://github.com/BrianRuizy)