You are here


Award Information
Agency: National Science Foundation
Branch: N/A
Contract: 1938101
Agency Tracking Number: 1938101
Amount: $209,805.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: ET
Solicitation Number: N/A
Solicitation Year: 2019
Award Year: 2020
Award Start Date (Proposal Award Date): 2020-02-01
Award End Date (Contract End Date): 2021-01-31
Small Business Information
928 Sturgis Ln
Ambler, PA 19002
United States
DUNS: 042500358
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Burak Ozer
 (609) 721-1840
Business Contact
 Burak Ozer
Phone: (609) 721-1840
Research Institution

The broader impact of this SBIR Phase I project is to reduce the loss of human life and property by providing improved current and future information to water management stakeholders. Rising sea levels and heavier downpours could increase flooding costs in coastal communities by $23 billion per year by mid-century. Traditional water monitoring sensors have major drawbacks, such as: constant maintenance, costly installation, and application-specific dedicated hardware. Continuous monitoring of flood prone areas and optimized water management for freshwater conservation requires new technologies, including low-cost and robust water control systems to limit the loss of human lives, crops, property, and livestock. The proposed system in this project will offer a robust solution to monitor water and make weather predictions using deep learning algorithms. This SBIR project proposes to develop a cost-effective smart camera-based solution to perform a highly accurate risk assessment of flooding in public waterways.A key innovation is running sophisticated computer vision algorithms on a resource-limited platform. The proposed system will use low-cost LIDARs, generally used for measuring solid object velocities, for water velocity measurements. Furthermore, the project will develop a polarized-light system to achieve the system accuracy requirements, including real-time corrections of errors induced by visual impairments of the camera due to field conditions. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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

US Flag An Official Website of the United States Government