Hack the Beach 2017 Contest Sign-up
Sep 04, 2017
submission
#83
Submit your idea
Your idea/ technology/ company
| Name of your idea or project | Street QUality IDentification (SQUID) |
| Which challenge area does your idea respond to? | A Responsive Government |
| Describe your idea and how it can help Santa Monica | Street QUality IDentification (SQUID) is a new digital standard to measure the general condition of a Santa Monica's streets. SQUID combines ride quality (bumpiness) and analysis of street imagery to empower cities perform frequent, low-cost, ground-truth assessments for not just a few but all city streets. SQUID can also be applied to frequently measure bike lane infrastructure. In 2015 Santa Monica awarded a private contractor $132,000 to develop a pavement management system to help in maintaining 155 miles of city streets.(http://bit.ly/2eyJaG6) The PCI or pavement condition index is a metric that is used to rate the general condition of Santa Monica streets and determines how hundreds of thousands or even millions of pavement resurfacing dollars are spent. The PCI as it is currently used though is a subjective and error-prone metric that does not adequately capture the ground truth. Moreover, it is a system that is built around a reactive response paradigm. Using SQUID, we aim to improve the PCI by collecting street quality data using an open source mobile application(OpenStreetCam). We then integrate ride quality data with high definition street imagery. Computer Vision techniques that we have developed can then be used to automatically identify large defects on the street imagery while assessing the general conditions of entire street segments. The approach can also help Santa Monica institute a virtual street inspection process by combining Clean Streets, Asset management and Street maintenance into the same dataset and help departments share the same data to deliver services. Finally, traditional PCI surveys are very labor intensive and are often done once a year. With SQUID, we can perform multiple complete street surveys and begin to answer a simple but powerful question. Which Santa Monica Streets are degrading faster than others? This would allow Santa Monica enter a proactive paradigm for street maintenance, something which no other city has yet achieved. More information on SQUID is available at : http://bit.ly/argo_squid |
| What stage is your idea or project in? | Active company/ post-revenue |
| What needs to happen to launch your product? Please list all resources (hardware, software, licensing, legal/regulatory, funding, partnership or support from the City, data, etc.) required to launch your program. | ARGO will need to partner with Santa Monica's Public Works department to collect street imagery data using Open Street Cam application on a mobile device using a Santa Monica vehicle for all city streets. ARGO already has the necessary data infrastructure required to Extract, Transform and Load data that is collected from OpenStreetCam to develop dashboards and a unified measure of Santa Monica's overall street conditions. The same approach can also be instituted to perform Cleanliness assessments, Bike Lane surveys and Pavement marking assessments so that Santa Monica can be ready for Autonomous Vehicle deploym |
| How realistic is it for your idea to be implemented by early 2018? Please describe what resources (if any) you will need in order to ensure a working product by early next year. | October - November 2017 : Santa Monica vehicle uses Open Street Cam to collect street (and/or Bike lane) condition data for all streets November - January 2017: Team ARGO develops dashboards and metrics and customized Computer vision to automate the detection of street defects and lane markings. (Optional) Depending on how street imagery is collected, ARGO can develop computer vision techniques to help Santa Monica perform automated cleanliness or asset management surveys. |
You and your team
| Team Name | ARGO/SQUID |
| List team members and their roles | --- |
| Contact email | --- |
| Phone number | --- |
| Primary Contact Name | --- |
Initial application scoring
Scoring
| Viability (40%) | --- |
| Value (40%) | --- |
| Growth (20%) | --- |
| Notes | --- |
| Advance to semi-finalist status? | Yes |