Cameras Mimicking Human Vision Could Enhance Astronomical Discoveries

Neurotype cameras, designed to emulate human vision, offer significant benefits for astronomers by enabling the capture of both bright and dim celestial objects in a single frame. This allows for tracking swift-moving entities without the risk of motion blur.

Unlike conventional digital cameras that sample a grid of pixels multiple times per second, recording data for each pixel each time, neurotype cameras, or event cameras, function quite differently. Each pixel is activated only if there’s a change in brightness at that specific location. If the brightness remains constant, no new data is saved, resembling how the human eye processes visual information.

This innovative approach presents various benefits. By recording only changing pixels, less data is generated while maintaining a much higher frame rate. Furthermore, these cameras measure light on a logarithmic scale, enabling the detection of fainter objects next to brighter ones that may saturate conventional camera images.

To investigate the potential of this technology for astronomical applications, Chetan Singh Thakur and his team at the Indian Institute of Science in Bengaluru mounted a neurotype camera on a 1.3-meter telescope at the Aliyabatta Observatory in Uttarkhand, India.

They successfully captured meteoroids traveling between the Earth and the Moon and also obtained images of the Sirius binary system, which includes Sirius A, the brightest star in the night sky, and Sirius B.

Sirius A is approximately 10,000 times brighter than Sirius B, making it challenging to capture both in a single image using traditional sensors, as noted by Mark Norris from the University of Central Lancashire, UK, who was not part of the study.

According to Singh Thakur, neurotype cameras excel at tracking fast-moving objects due to their high frame rates. “For high-speed objects, you can capture their movement without blur, unlike conventional cameras,” he explains.

Telescopes typically utilize multiple sensors that can be swapped as needed. Norris points out that a neurotype camera could serve as an additional tool for viewing scenarios where both very bright and very faint objects need to be observed concurrently, or for quickly moving targets like the recently identified interstellar object 3i/Atlas.

Traditionally, to follow fast-moving objects, astronomers would need to pan the telescope. However, neurotype cameras can accurately track the movement of these objects precisely while maintaining background details and resolving their locations.

“Do you want to know the brightness of an object or its location? In quantum mechanics, you can’t ascertain both at the same instant,” Norris states. “This technology offers a potential method to achieve both simultaneously.”

While neurotype cameras provide unique advantages, they may not replace all sensor applications. Their resolution is typically lower than that of charge-coupled devices (CCDs), which are commonly used in digital cameras, achieving an efficiency of about 78% compared to the 95% efficiency of CCDs. This disparity makes traditional sensors more effective at capturing dim objects near their detection limits.