Foiling Carpool-Lane Cheaters

A new infrared system can tell people from decoys.

Solo commuters frustrated by snarled traffic have taken extreme measures to sneak into high-occupancy carpool lanes: costumed mannequins in passenger seats, dolls swaddled like babies--even dogs in bonnets. But a company called Vehicle Occupancy, based at Loughborough University, in Leicestershire, England, says that it has developed an infrared camera-mounted scanning system that foils 95 percent of such trickery.

Busted!: In this infrared image of the front seat of a Ford Focus, technology from Vehicle Occupancy has tagged the driver with a yellow dot, indicating that he’s human, while ignoring a dummy in the passenger seat. The image was produced in real time, while the car was traveling at about 50 miles per hour. Credit: Vehicle Occupancy

Automated systems for counting passengers have a heightened appeal as many urban areas with crowded roadways contemplate occupancy-based tolls as a way to pay for new highway construction. "We are far better at looking inside the car than the human," says Tim Ballantyne, Vehicle Occupancy's director of business development. "We can see 95 percent of the people in the car, whereas a trooper sees just 65 percent." Vehicle Occupancy's system, dubbed Dtect, was tested against humans from a distance of 150 feet, with cars moving at about 50 miles per hour, Ballantyne says.

According to Ballantyne, Dtect uses a proprietary infrared technology that can identify human skin by measuring its water content and detecting hemoglobin in the blood just beneath the skin. Mounted at the mouth of the travel lane, the Dtect camera captures two images of oncoming vehicles at different frequencies in the infrared range. At those frequencies, live human skin has different light-absorbing attributes than heated plastic or steam emanating from a cup of coffee--or even a bladder of hot water, which might be used to try to fool the system.

In addition to recognizing the infrared signatures of hemoglobin and water, Dtect's software can differentiate between a person and a large animal, using algorithms similar to those found in face-recognition systems. "There are two levels," says Ballantyne. "First, we filter out things that are not live--the dummies and so on--and in the second layer, we look at the image and can reject the second level of trickery that might be dogs or a warm human hand held up to where the infrared light is aimed at." Ballantyne says that skin tone and heavy makeup are not obstacles to the system, but a small child bundled in a back seat could be missed.

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The system's price--100,000 English pounds for two infrared illuminators, two cameras, a central processing unit, waterproof housing, software, and a battery pack--could make it a tough sell. But it has still attracted interest in Virginia.

Officials there are moving toward a multitiered pricing system for the tolls that will fund 14 new miles of high-occupancy-vehicle interstate roadway for the Capitol Beltway, and another 56 miles between Fredericksburg and the Pentagon. Solo drivers who opt to pay the toll will have access to the roads; carpoolers will ride free. But the state needs a way to distinguish cars with one passenger from those with multiple passengers without forcing vehicles to slow down to be observed by state police.