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Current issue

ELEKTRO 7/2020 was released on June 24th 2020. Its digital version will be available on July 24th 2020.

Topic: Cables, conductors and cable engineering

Main Article
New traction power supply technology 25 kV/50 Hz (part 2)

SVĚTLO (Light) 3/2020 was released on June 8th 2020. Its digital version will be available on July 8th 2020.

Professional organizations activities
Announcement: LUMEN V4 2020 is cancelled
What is new in CIE, April 2020

Accessories of lighting installations
Foxtrot as a “Master Control” in Hotel Breukelen
Lighting regulators – control of lighting on the constant level

A flexible camera: A radically different approach to imaging

13. 4. 2016 | Tech Xplore | www.techxplore.com

Columbia Engineering researchers have developed a novel sheet camera that can be wrapped around everyday objects to capture images that cannot be taken with one or more conventional cameras.

They designed and fabricated a flexible lens array that adapts its optical properties when the sheet camera is bent. This optical adaptation enables the sheet camera to produce high quality images over a wide range of sheet deformations.

New flexible camera

If such an imaging system could be manufactured cheaply, like a roll of plastic or fabric, it could be wrapped around all kinds of things, from street poles to furniture, cars, and even people's clothing, to capture wide, seamless images with unusual fields of view. This design could also lead to cameras the size of a credit card that a photographer could simply flex to control its field of view.

The Columbia Engineering team developed an adaptive lens array made of elastic material that enables the focal length of each lens in the sheet camera to vary with the local curvature of the sheet in a way that mitigates aliasing in the captured images. This inherent optical adaptation of the lens is passive, avoiding the use of complex mechanical or electrical mechanisms to independently control each lens of the array.

Read more at Tech Xplore

Image Credit: Columbia Computer Vision Laboratory

-jk-