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...automatically take a picture when somebody smiles - a feature that, theoretically, makes the whole problem of timing your shot to catch the brief glimpse of a grin obsolete. Face detection has also found its way into computer webcams, where it can track a person's face during a video conference or enable face-recognition software to prevent unauthorized access...
...Indeed, just last month, a white employee at an RV dealership in Texas posted a YouTube video showing a black co-worker trying to get the built-in webcam on an HP Pavilion laptop to detect his face and track his movements. The camera zoomed in on the white employee and panned to follow her, but whenever the black employee came into the frame, the webcam stopped dead in its tracks. "I think my blackness is interfering with the computer's ability to follow me," the black employee jokingly concludes in the video. "Hewlett-Packard computers are racist." (See pictures...
...computers are racist" video went viral, with almost 2 million views, and HP, naturally, was quick to respond. "Everything we do is focused on ensuring that we provide a high-quality experience for all our customers, who are ethnically diverse and live and work around the world," HP's lead social-media strategist Tony Welch wrote on a company blog within a week of the video's posting. "We are working with our partners to learn more." The post linked to instructions on adjusting the camera settings, something both Consumer Reports and Laptop Magazine tested successfully in Web videos they...
...face recognition to protect work computers from prying eyes. "These things are solvable." Case in point: Sensible Vision, which develops the face-recognition security software that comes with some Dell computers, said their software had no trouble picking up the black employee's face when they tested the YouTube video...
...just as the software is only as good as its code and the hardware it lives in, it's also only as good as the light it's got to work with. As HP noted in its blog post, the lighting in the YouTube video was dim, and, the company said, there wasn't enough contrast to pick up the facial shadows the computer needed for seeing. (An overlit person with a fair complexion might have had the same problem.) A better camera wouldn't necessarily have guaranteed a better result, because there's another bottleneck: computing power. The constant...