Select your localized edition:

Close ×

More Ways to Connect

Discover one of our 28 local entrepreneurial communities »

Be the first to know as we launch in new countries and markets around the globe.

Interested in bringing MIT Technology Review to your local market?

MIT Technology ReviewMIT Technology Review - logo


Unsupported browser: Your browser does not meet modern web standards. See how it scores »

{ action.text }

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.

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.

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.

8 comments. Share your thoughts »

Credit: Vehicle Occupancy

Tagged: Computing, software, automobiles, infared

Reprints and Permissions | Send feedback to the editor

From the Archives


Introducing MIT Technology Review Insider.

Already a Magazine subscriber?

You're automatically an Insider. It's easy to activate or upgrade your account.

Activate Your Account

Become an Insider

It's the new way to subscribe. Get even more of the tech news, research, and discoveries you crave.

Sign Up

Learn More

Find out why MIT Technology Review Insider is for you and explore your options.

Show Me