Autographer: the latest incarnation of SenseCam

The SenseCam, a wearable automatic camera invented by Lyndsay Williams when she was at MSR Cambridge, was a big factor in MyLifeBits and helped us form many of the insights for Your Life, UploadedIt made its commerical debut as the Vicon Revue with very few changes to its design and targeted at memory loss patients. Now OMG has updated its look and function for consumers and released it as the Autographer.

Like the original SenseCam, it has a fixed-focus, fish-eye lens to capture your experience without worrying much about where it is pointed. It has these sensors:

  • a light level sensor, so that when you change scene, such as walking through a doorway, it can take a picture of the new room
  • a passive infrared sensor so that person (a warm body) can trigger a picture
  • an accelerometer, so that when it jiggles it can avoid taking a blurry picture (and motion can indicate photo opportunities)
  • magnetomorer: detects changes in direction, like a compass does
  • temperature: temperature can signal a change worth snapping a picture (and enables a record of your environment)
  • GPS: to record your location

Pictures are taken with a 5 megapixel low light sensor, which hopefully makes it much better at indoor photography than the old SenseCam. It has 8GB or storage, bluetooth and both desktop and smartphone apps to handle all the pictures and sensor values.

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4 thoughts on “Autographer: the latest incarnation of SenseCam

  1. Hi Jim, Thanks for this. The original Microsoft SenseCam also had light detection, accelerometer, passive infra red and ambient temperature. The software used these to decide when to take images. I also tested the magnetometer out at MIcrosoft Research Cambridge, the reading deflecting on the huge steel poles that supported the building. An external GPS was synced to the SenseCam via time stamps. Back in 1999 when I designed and built the first sensecam, the low light sensors were not so good, but could capture my night time bike accidents in Cambridge!

  2. @billjarrold says:

    Very cool! Can I easily upload the accelerometer data to the cloud/my laptop etc?

  3. Is there a convenient API so I can build a connector and analyze my data using my own tools?

  4. Is there a convenient API so I can automatically extract all the data to analyze using my own tools?

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