World’s fastest camera has been developed by Lund University; it uses Frequency Recognition Algorithm for Multiple Exposures (FRAME) technology
Usage and development of fast and faster cameras have been sectors, where researches spent numerous amount of time and resources. Now, here is the fastest camera ever developed that has been built by researchers of the Lund University of Sweden, one of northern Europe’s oldest, largest and most prestigious universities.
This unique camera can capture 5 trillion photos per second. With this amazing and astonishing speed, one can actually visualise the movement of light. The camera can actually capture an event that takes place in as little as 0.2 trillionths of a second. To demonstrate the capability of this amazing camera, researchers of Lund University used to capture a group of photons travelling as far as the thickness of a piece of paper.
The result showed that the frames captured by the camera displayed the light particles were barely moving, meaning the camera grabbed there every bit of movements, while they were actually moving at an stunning speed of 1079.86 kmph. Researchers say that this camera uses a technology called Frequency Recognition Algorithm for Multiple Exposures or FRAME.
This camera doesn’t actually work like the conventional film or digital cameras. It doesn’t take snap for a full second. Instead, this high-speed camera snaps every frame which contains four separate images and they are captured one after the other. It projects laser on the object and each light pulse features an unique code that allows the captured images to be decoded later for further analysis.
No wonder, this high-speed camera is not for regular or conventional usage, but it will be used for research purposes only. Two men behind this amazing innovation are Elias Kristensson and Andreas Ehn. With this camera, they are hoping to get insight to improve gas-powered engines by revealing the complex chemical reactions happen at the molecular level when fuel is burned.
Source: Lund University