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Current issue

ELEKTRO 1/2017 was released on January 18th 2017. Its digital version will be available on February 17th 2017.

 

Topic: Electrotechnology; Materials for electrical engineering; Equipment and accessories; Marking

 

Main Article

Data analysis of photovoltaic system during an eclipse

Risk of wiring of biometric identification systems

SVĚTLO (Light) 6/2016 was released on December 5th 2016. Its digital version will be available on January 5th 2017.

Interiors lighting
Colloquium Interiors 2016 – the fifth anniversary
Cooperation of indoor interior and lighting 

Standards, regulations and recommendations
New standards for road lighting

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-