Innovative Solutions to Effectively Enforce Anto-texting Rules on Commercial Motor Vehicles (CMV) Drivers

Award Information
Agency: Department of Transportation
Branch: N/A
Contract: DTRT57-12-C-10035
Agency Tracking Number: DTRT57-12-C-10035
Amount: $150,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: 121FM2
Solicitation Number: DTRT5712RSBIR1
Solicitation Year: 2012
Award Year: 2012
Award Start Date (Proposal Award Date): 2012-05-30
Award End Date (Contract End Date): 2012-12-15
Small Business Information
15400 Calhoun Drive, suite 400, Rockville, MD, -
DUNS: 161911532
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Devendra Tolani
 Lead Scientist
 (301) 294-4630
Business Contact
 Mark James
Title: Director, Contracts and Proposals
Phone: (301) 294-5221
Research Institution
Intelligent Automation Inc. (IAI) proposes an innovative anti-texting system which does not prevent the use of any cell phone but can detect and record the texting and driving behavior for enforcement instead. This proposal lays out a concrete plan to develop a robust and cost effective system that can detect, identify and record the instances when a driver is texting (or voice calling without hands free device). We call this system Robust Anti-texting Law Enforcement System (RATLES). Since there is no single silver bullet for this problem we are formulating a fusion based approach that combines three key measurements: Detect, classify, and locate cell phone use; vision based approach and driving style. We will determine the most robust combination of all or a subset of these technologies for text detection, and demonstrate the feasibility of incorporating these modalities in a single, compact, and low-cost device. The output for these three detection modules will be used to produce a probability metric associated with a texting event. Once this metric crosses a threshold the camera (which is constantly recording and buffering data) system will be asked to store a portion of that data for later use.

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

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