IIT Guwahati builds a brain-like eye that sees on 500 times less energy
By TUF News Desk · Published 13 October 2026 · 4 min read
Fact-checked against 2+ independent sources · Editorial policy
A phone camera and the human eye do the same job, but they do it very differently. Your camera captures light, sends the data to a processor, and only then figures out what it is looking at. Your brain recognises things far more cheaply, drawing on memory instead of starting from scratch every time. Researchers at IIT Guwahati, working with IIT Kharagpur, have now built an electronic device that tries to close that gap. It detects light, stores what it saw, and processes it, all on one chip.
The device is ultrathin and light-sensitive. In laboratory tests it consumed 500 times less energy than conventional MXene-based devices when handling visual information. The institute announced the work on October 12, 2026, and the findings have been published in the journal Carbon.
How the device works
The device pairs two materials: MXene nanosheets, a two-dimensional electrically conductive material, and P3HT, an organic semiconductor. When light hits the interface between them, electrical charges separate and stay separated even after the light source is switched off. That gives the device a memory-like quality. It holds on to what it saw.
Repeated exposure to light strengthens its response, in a way that recalls how neurons strengthen with repeated stimulation. Prof. P.K. Giri, lead author of the research and a professor in the Department of Physics at IIT Guwahati, has explained the difference with a simple example: a conventional system captures light reflected from an apple, converts it into digital information and sends it to a microprocessor for pixel-by-pixel analysis. The human brain identifies the same object using learned knowledge of colours, shapes and context. The new device is an attempt to build electronics that work more like the second method.
What it was tested on
The research team tested the device on two practical tasks. It reached 90 percent accuracy in facial recognition and 85 percent accuracy in traffic-scene segmentation. Those are lab results, not product claims, and there is still work ahead to scale the technology for real-world use.
The approach sits in an area called neuromorphic computing, which copies parts of how the human nervous system works. The core idea here is an artificial synapse, the electronic equivalent of the connection between two neurons. By combining sensing, memory and processing in a single unit, the device avoids the constant shuttling of data between separate camera, memory and processor components. That shuttling is what eats energy in conventional vision systems.
Why it matters
If the technology scales, it could make a practical difference in places where power is scarce but vision is essential: drones, autonomous robots, traffic monitoring and smart security systems. All of them need to see and interpret the world quickly without draining a battery.
For students weighing a research career, this is also a useful marker. Neuromorphic computing is a growing research area, and work like this shows the kind of interdisciplinary problems physics and engineering departments are hiring into. Our NIRF rankings guide explains how to judge the research strength of institutes like these. Students comparing institutions for a postgraduate degree can also read our guide to choosing a university in India for what to look at beyond exam scores.
The full announcement is available on the official IIT Guwahati press release page.
Frequently asked questions
Which institutes built the brain-inspired vision device?
Researchers at IIT Guwahati, working with IIT Kharagpur, built the device. The lead author is Prof. P.K. Giri of the IIT Guwahati Department of Physics.
How much energy does the device save?
In laboratory tests, the device consumed 500 times less energy than conventional MXene-based devices for visual information processing.
Where were the findings published?
The research was published in the scientific journal Carbon.
What could the device be used for?
Potential uses include energy-efficient facial recognition, robotic vision, traffic monitoring, drones and other intelligent computing systems.
Frequently asked questions
Which institutes built the brain-inspired vision device?
Researchers at IIT Guwahati, working with IIT Kharagpur, built the device. The lead author is Prof. P.K. Giri of the IIT Guwahati Department of Physics.
How much energy does the device save?
In laboratory tests, the device consumed 500 times less energy than conventional MXene-based devices for visual information processing.
Where were the findings published?
The research was published in the scientific journal Carbon.
What could the device be used for?
Potential uses include energy-efficient facial recognition, robotic vision, traffic monitoring, drones and other intelligent computing systems.
Sources: Times of India, NENow, Dainik Jagran English