Australian technology news, reviews, and guides to help you
Australian technology news, reviews, and guides to help you

Canon revs up for flagship R1 with deep-learning image processing

How can AI help photographers? By improving their images after they’ve snapped the photo, which is one thing Canon is working on for its mirrorless professional cameras.

A big new camera is on the way, and while we don’t expect it’ll be inexpensive, we’re very curious about the technology it will bring, and the potential it could unleash.

We can’t go a week without hearing about what AI is doing for us each week, and the latest use could improve images you capture.

Canon appears to be using a form of artificial intelligence known as “deep learning” to improve its next camera, as the technology for autofocus and subject tracking accuracy, as well as image processing, improving how its next camera will function in the field.

In the area of autofocus and tracking, the camera will reportdly be able to recognise subject movement by analysing the subject in question, predicting the focus for what will happen next, essentially improving the chance to capture fast shots. Meanwhile, the latter will see deep learning used to improve image quality, which may also reduce image noise for final results.

The technology is coming to its next flagship mirrorless camera, the Canon R1, which is being built for professionals working in the fields of sports, photojournalism, news reporting, and video production. From the sound of things, the focus is clearly on making a better big camera, especially in comparison to its current professional model, the EOS R3.

Set for release later this year, the EOS R1 is likely to be a pricey model that could see the benchmark for what Canon’s cameras are built to do, with features that will eventually trickle down to more consumer friendly models down the road.

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