A chip that “sees”

 

 

The IMX382 chip is a digital image sensor that processes the image to detect and identify objects at 1,000 frames per second. Credit: Sony

The digital image sensors that we have in our smart phones and digital cameras capture photons and sends the data about each of their pixels with a string of digits expressing the luminosity and colour. The sensor does not know if a pixel is related to a house or to a dog…

In these last five years digital cameras (including the ones embedded in smart phones) have become smarter and several of them are able to recognise a face, a smile, the relevance of an object in the frame to provide the best possibile exposure or to track it as it moves.  However, this ability is not embedded in the sensor but it is part of a special chip processing the image.

Now Sony has announced a chip, the IMX382, that has the capability to recognise objects directly in the image chip. The chip has a (relatively) low resolution, just 1.27Mpixels, way below the kind of resolution we got used to in our smartphones and digital cameras (most of the time over 10Mpixels) but it has a very high frame rate, 1,000 frames per second.

It has been designed with robots in mind, to provide industrial robots with the capability to detect objects around them, take a look at the clip.

The chip consists of stacked layers, photoreceptors, backlit pixel array and signal processing circuit. This latter comprises the image processing and a programmable column-parallel processor. Actually, this organisation looks a bit like the one we have in our retina, where some image processing takes place before the data are sent to the brain.

About Roberto Saracco

Roberto Saracco fell in love with technology and its implications long time ago. His background is in math and computer science. Until April 2017 he led the EIT Digital Italian Node and then was head of the Industrial Doctoral School of EIT Digital up to September 2018. Previously, up to December 2011 he was the Director of the Telecom Italia Future Centre in Venice, looking at the interplay of technology evolution, economics and society. At the turn of the century he led a World Bank-Infodev project to stimulate entrepreneurship in Latin America. He is a senior member of IEEE where he leads the New Initiative Committee and co-chairs the Digital Reality Initiative. He is a member of the IEEE in 2050 Ad Hoc Committee. He teaches a Master course on Technology Forecasting and Market impact at the University of Trento. He has published over 100 papers in journals and magazines and 14 books.