Description

Researchers developed an improved method of imaging objects during fog

Date - 15th Jun 2021

Researchers from the Raman Research Institute (RRI), the Center for Space Applications, Shiv Nadar University in Gautam Buddha Nagar and the University of Rennes and Paris-Saclay University in France modulated the light source and demodulated it from the observer's side to obtain clearer images. With this method, images of objects in foggy weather can now be sharper as this method can improve images captured on foggy days. This method includes modulation of the light source and demodulation from the side of the observer.

Researchers have long tried to use scattering physics and computer algorithms to process their data and improve image quality. But computer algorithms require processing large amounts of data, increasing storage and processing time.

The researchers selected ten red LEDs as the light source. They modulated this light source by changing the current flowing through the LEDs at about 15 cycles per second. A camera was installed at a distance of 150 meters from the LEDs, which captured the image and transmitted it to the desktop computer. Computer algorithms then used the modulation frequency information to extract characteristics of the source. This process is called "demodulation".

The value of technology

This method is economical as it only requires a few LEDs and a regular desktop computer. It can improve aircraft landing techniques by providing the pilot with a good view of the beacons on the runway. This is better than relying on reflected radio waves alone. This method can also identify obstacles in the path that are otherwise obscured by fog in rail, sea and road transport. This can help in identifying lighthouses.

For more Updates and Information - Click here 

For access to more than 10,000 Colleges - Click here

For Latest Sarkari Jobs - Click here

For Comprehensive Preparation of Competitive Exams - Click here

For School Studies and Exams Preparation across Eight Boards - Click here