ACS began as a research division in 1976 to come up with a technological solution to help prevent impaired driving. We continue to work closely with legislators, regulators, as well as research and advocacy institutions to develop products to support changing legislation, tools to support law enforcement agencies, and solutions to improve road safety.
This research is focused on the development of next generation materials for fuel cell-based ethanol sensors. Advanced nano-engineered, solid-state composite membrane electrolytes are being developed with improved proton conductivity and operational stability at various environmental conditions replacing classic liquid-state membranes. It will significantly reduce cost of the sensor without compromising their performance and durability and therefore, providing competitive advantage on the global sensors’ market.
The main purpose of this research is development of reliable and accurate alcohol sensor for passive and / or non-invasive alcohol detection. It includes passive, real-time measurement of ambient alcohol inside the car cabin and non-invasive, in-vehicle blood alcohol biosensor for measuring alcohol level in human interstitial fluid by optical means. For this purpose, a working prototype laser device as a light source is being developed for portable, in-vehicle passive optical alcohol sensor.
The purpose of this project is to develop and explore new approaches for portable, low cost, non-invasive breath acetone sensor based on recent state-of-art metal semiconductor sensing technology with required sensitivity and selectivity. Proposed sensing platform will play an important role in diagnosis of diabetes serving as a rapid and economic alternative to standard blood analysis.
The ultimate goal of this project is to develop an integrated device that uses an engineered protein to concentrate and purify cannabinoids which are detected electrochemically. The major steps of the project include improvement of sensitivity for psychoactive cannabinoids by optimization of electrochemical assays, optimization of the affinity and specificity between the engineered protein and cannabinoids and development of an integrated device for sampling and measurement along with associated sample handling protocols.
The ultimate goal of this project is development of face detection and recognition system to be used in alcohol ignition interlock devices manufactured at ACS. The research carried out in this project will result in development of new, state-of-art road safety devices that will accurately and automatically authenticate the driver or alert a drowsy driver by incorporating multiple biometric traits.
The objective of this project is to study and develop the system to asses fitness-to-drive based on eye tracking data; particularly for sleepiness detection and alerting drivers before impairment and lapses in judgment occurs. Advanced machine learning and signal processing techniques are applied in order to analyze the multi-modal data for development of appropriate algorithms / methodologies for “early warning system” to prevent sleepiness-related accidents in the transportation industry.
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