New Privacy Threat: Automated Vehicle Occupancy Detection

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An anonymous reader writes: The Electronic Frontier Foundation is warning against a new potential privacy threat: cameras that look inside cars and try to identify how many people are inside. This technology is a natural combination of simpler ones that have existed for years: basic object recognition software and road-side cameras (red light cameras, speeding cameras, license plate readers — you name it). Of course, we can extrapolate just a bit further, and point out that as soon as the cameras have high enough resolution, they can start running face recognition algorithms on the images, and determine the identities of a vehicle’s occupants. “The San Diego Association of Governments (SANDAG), a government umbrella group that develops transportation and public safety initiatives across the San Diego County region, estimates that 15% of drivers in High Occupancy Vehicle (HOV) lanes aren’t supposed to be there. After coming up short with earlier experimental projects, the agency is now testing a brand new technology to crack down on carpool-lane scofflaws on the I-15 freeway. … In short: the technology is looking at your image, the image of the people you’re with, your location, and your license plate. (SANDAG told CBS the systems will not be storing license plate data during the trial phase and the system will, at least for now, automatically redact images of drivers and passengers. Xerox’s software, however, allows police the option of using a weaker form of redaction that can be reversed on request.)” Read more of this story at Slashdot.

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New Privacy Threat: Automated Vehicle Occupancy Detection

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