• By Heather Kelly

    As the volume and quality of cameras and sensors are ramped up, cities are turning to more advanced face- and object-recognition software to makes sense of the data.

    "We describe what's in the video, and we store that in a database," said Al Shipp, CEO of San Francisco-based 3VR, one of several companies that makes this type of facial-recognition technology.

    The company's first investor was In-Q-Tel, the CIA's venture-capital arm, which finds and funds promising security-related technology. Now, 3VR works with federal and local law enforcement agencies, as well as private companies and banks.

  • STEVE HENN: Al Shipp is the CEO of a company in San Francisco called 3VR. One of its first investors is In-Q-Tel, the CIA's venture capital fund. 3VR specializes in computerized video analytics, like facial recognition and object tracking. Shipp says often when investigators comb through videotapes, they're facing an information glut.

    SHIPP: So, what we've done is we've indexed that information. So, when we do a video, we extract things like size, shape, color, speed, direction and let you search against that and point back to the video. So, instead of watching hours and maybe days of video, you can ask questions like show me all the red cars that went east.

  • By Al Shipp

    A good friend of mine recently updated his kitchen and showed me his new Sub Zero refrigerator. Think one of those side-by-side behemoths. I had to suppress a grin. All I could think was “slap a couple white and blue covers on that big boy and you’d have a good proxy for mainframe storage.” Think DASD, big iron. That’s how big a hard drive used to be. I remember how I used to work around these gigantic “refrigerator” hard drives that stored a mere 5 gigabytes. These days, you can store several terabytes in a device that would fit in the palm of your hand.

  • 3VR in San Francisco has developed software that extracts information from video and then makes it searchable for its clients, which include retailers, banks, security firms, and law enforcement.

    The video stream can come from surveillance cameras and smartphones. "We will identify each person and extract the facial biometrics of each person in the field of view, and we'll save a snapshot of that person," explains 3VR CEO Al Shipp.

  • Forensic software has come a long way since terrorists detonated multiple bombs in London's transit system in 2005. Then hundreds of investigators spent thousands of hours manually reviewing surveillance camera video with meager results.

  • 3VR – Dale Small, senior product manager, and I discussed loss prevention being the hardest issue to solve by security investigators because they must search through hours of video. In response, 3VR announced their VisionPoint VMS that has a forensic search feature that uses meta data depending on analytics or integration as well as a face find feature that enables investigators to see if someone has previously been in a certain building.

  • By Brian Browdie

    3VR has upped the capabilities of a system the company says speeds analysis of security video.

  • By Paul Boucherle

    Last month, we talked about how technology has finally advanced to deliver on the promise of video content analysis (VCA), or video analytics, such that it is finally stable and reliable enough to become a viable consideration for video surveillance system design. The past two years’ dramatic advances in hardware, firmware, software, mobile communications and tools for mining unstructured data are enabling security integrators to add value to security and business operations.

  • Different elements that were required to make video content analysis (VCA) stable, reliable and viable have finally caught up with us. Having embraced this exciting concept back in 2005, I was overly optimistic and seriously unarmed with the tools that ultimately would make this technology useful for both security and business purposes.

  • Retail loss prevention departments face many challenges. Employee theft remains the largest source of shrink, and shoplifting - especially related to organized retail crime - shows no sign of slowing. With shrinking budgets and headcounts, the most successful loss prevention departments must learn how to do more with fewer resources and show ROI on their budget investments.