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Autonomous Video Inspection System (AVIS)

Award Information
Agency: Department of Transportation
Branch: N/A
Contract: 6913G620P800086
Agency Tracking Number: DOT-20-FR2-010
Amount: $149,539.20
Phase: Phase I
Program: SBIR
Solicitation Topic Code: 20-FR2
Solicitation Number: 6913G620QSBIR1
Timeline
Solicitation Year: 2020
Award Year: 2020
Award Start Date (Proposal Award Date): 2020-06-11
Award End Date (Contract End Date): 2020-12-10
Small Business Information
1 Creekview Court, Suite A
Greenville, SC 29615
United States
DUNS: 079709073
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Joshua Doran
 (724) 541-3092
 jdoran@visiostack.com
Business Contact
 Joshua Doran
Title: Data Scientist
Phone: (724) 541-3092
Email: jdoran@visiostack.com
Research Institution
N/A
Abstract

AVIS (Autonomous Video Inspection System) is an innovative highway-rail grade crossing inspection system that will use deploy Artificial Intelligence based models with efficiency and accuracy. AVIS is an end-to-end solution that will evaluate forward-facing video to detect the presence and condition of key features that help improve the safety of pedestrians and vehicles at highway-rail crossings.While crossing inspections are currently performed manually, ARIS will automate this process and provide a framework for users to understand which crossings have been inspected and see the results alongside other relevant data such as geometry data and drone imagery. The machine learning models will be developed so that they can ‘re-learn’ as more footage is processed helping to improve accuracy over time. Further, AVIS will use clustered-computing and be able to ignore sections of video that do not contain crossings to help improve the delivery time of inspection reports to key stakeholders.

* Information listed above is at the time of submission. *

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