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Current issue

ELEKTRO 7/2017 was released on June 26th 2017. Its digital version will be available on July 28th 2017.

Topic: Cables, conductors and cable technique; Connectors; Software; Marking and labelling

Main Article
Electrical insulation and thermal conductivity

SVĚTLO (Light) 4/2017 was released on August 8th 2017. Its digital version will be available on September 8th 2017.

Optical radiation effects and use
Glow-worm in a light engineer eyesight

Lighting installations
OSRAM TecDay Czech Republic 2017
Workroom illumination of Dominican provincial in Prague
innogy – reconstruction of company administrative centre

A flexible camera: A radically different approach to imaging

13.04.2016 | 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-