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

Award Information
Agency:
Department of Transportation
Branch
n/a
Amount:
$150,000.00
Award Year:
2012
Program:
SBIR
Phase:
Phase I
Contract:
DTRT57-12-C-10035
Award Id:
n/a
Agency Tracking Number:
DTRT57-12-C-10035
Solicitation Year:
2012
Solicitation Topic Code:
12.1-FM2
Solicitation Number:
1
Small Business Information
Intelligent Automation Inc. (Currently INTELLIGENT AUTOMATION, INC.)
15400 Calhoun Drive, suite 400, Rockville, MD, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
Y
Duns:
161911532
Principal Investigator:
Devendra Tolani
Lead Scientist
(301) 294-4630
dtolani@i-a-i.com
Business Contact:
Mark James
Director, Contracts and Proposals
(301) 294-5221
mjames@i-a-i.com
Research Institution:
n/a
Abstract
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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