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It doesn’t lose focus when the eyes are obscured from view, and so it can pick right back up focusing when the eyes are visible again. One of the most powerful AF advances that comes with Real-time Eye AF in Firmware update version 3.0 is that the camera can re-acquire the eyes if they are obscured or if the subject turns away, without first having to acquire a lock on a face. Since Sony designs the imaging sensors and the processors in the Alpha cameras, those two key components work together to make for super-fast Eye AF. The library of information itself isn’t enough to do the job the processor in the camera must be fast enough to be able to handle that data as well. Without the speed and the algorithm, the data wouldn’t be of much use. The role of the real-time processing speed and the recognition algorithm are at least as important as the machine learning itself. Real-time AF is based on several interrelated factors-real-time processing speed, the subject data collected through the image sensor, the machine-learning face database, and the camera’s recognition algorithm-which relates the information from the scene to the faces in the database. Sony has used machine learning for Real-time Eye AF, and the resulting database of information about faces for is used-in camera to more quickly find a subject’s face and eyes.
#SONY FIRMWARE UPDATE A7II HOW TO#
With machine learning, a computer AI system is fed a vast amount of data, and the AI figures out how to recognize that data. The new firmware update for the a7R III and a7 III ushers in a new system for detecting faces and the eyes of a subject, one based on the power of machine learning. Eye Detection and Artificial Intelligence
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When a traditional eye detect system loses sight (pardon the pun) of the eyes, it has to start again and look for a face all over again in order to find a subject’s eyes. The systems aren’t as good at finding eyes if the face is partially obscured, or if the face pointing in such a way as to make it hard to see the other geometric features. While this works well (and Sony’s eye AF is known to work particularly well), there are still limitations to the performance of eye detect in a standard autofocus system. Human brains are hard-wired by evolution to instantly recognize human and animal faces, thanks to some pretty complex pattern recognition and our binocular vision.ĭigital cameras have taken a more rudimentary approach to find a subject’s eyes, using the common geometry in faces to help with the task. Unlike DSLRs, mirrorless cameras use their sensors as both the focusing system and the imaging system, which allows the camera’s processors to use real-time sensor data to help “look” for objects in the scene without the interruption of a physical mirror getting in the way. For a camera to find, and follow an eye, it must first figure out what in the scene is or isn’t an eye. Tracking an eyeball with a camera is a difficult task. To better understand the new Real-Time AF, let’s take a look at how eye detection traditionally works and what AI brings to the system. Firmware version 3.0 brings a new level of power and flexibility to photography through improved eye autofocus for both humans and animals.
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Sony’s cameras are already the industry leaders in eye autofocus. It includes both Real-Time Eye AF and Real-Time Eye AF for animals, which harness the power of AI and machine learning to usher in a new era of autofocus. Sony’s Firmware update version 3.0 for the a7 III and a7R III brings a more accurate, immediate and versatile eye-detection AF system to Sony shooters. This document is not an official Sony news item.įor the official Sony information please see this article. The following is an informational look at the most recent firmware update for the Sony a7R III and a7 III, created by PixelShift to help explain the new features and the technology behind it. Sony Firmware version 3.0 for a7 III and a7R III brings powerful AI-driven eye detection for human and animal subjects alike.