Movie 'Visualizing electromagnetic fields' that visualizes invisible electromagnetic fields



Electromagnetic fields (EMF) are always generated when using electrical appliances, but they are not visible. So, London-based designer Luke Sturgeon, a visiting lecturer at the University of Hertfordshire, is working to visualize invisible things, including indicators to measure EMF, Android apps and cameras. By making full use of long exposure photography, the electromagnetic field is visualized.

Luke Sturgeon — Visualising Electromagnetic Fields
https://www.we-heart.com/2013/08/02/visualising-electromegnetic-fields-luke-sturgeon/

You can check how to shoot the electromagnetic field and how it was visualized in the following movie.

Visualising electromagnetic fields on Vimeo


When you shoot an EMF on your MacBook Pro, you'll see colorful red, yellow, and green lines.



You can also change the way the lines are displayed by changing the shooting method.



To actually shoot this, prepare a MacBook Pro and a camera. Then set the shutter speed to 60 seconds ...



Place the EMF measurement indicator towards the camera and slide it sideways. In addition, this equipment is housed in a box with

slits to prevent light other than the EMF indicator from being reflected.



If you change the position of the camera and continue shooting repeatedly ...



The visualized electromagnetic field and

stop-motion animation across the MacBook Pro are complete.




With further ingenuity, it is possible to create an animation that makes the electromagnetic field look like it is moving.




When you cross the indicator of the smartphone app that measures the electromagnetic field over the radio ...




You can take fantastic pictures of the colorful electromagnetic fields that exist across the radio.



If you change the way you move it, you can take a picture that looks like a roll.



Just like when shooting a MacBook Pro, if you take a lot of pictures, you can enjoy it as an animation.




in Hardware,   Science,   Art, Posted by darkhorse_log