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MWC Shanghai: HONOR unveils new AI-powered features

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At MWC Shanghai, HONOR unveiled their newest industry-first AI-powered Deepfake Detection and Defocus Eye Protection features.

HONOR’s AI Deepfake Detection works to analyze frame-by-frame information. This includes eye contact, lighting, image clarity, and video playback.

It identifies inconsistencies that the human eye could miss, and then warns HONOR device users immediately. In addition, this feature’s algorithm has been trained through a large dataset of media relative to online scams.

This enables the on-device AI to perform at a high level in identifying, screening, and comparing within seconds.

Deepfakes have become a growing security risk for netizens in the modern digital age. Issues from this range from fraud to sexual exploitation, with tech companies working on means to mitigate and solve this problem.

As for HONOR’s newest AI Defocus Eye Protection technology, it utilizes AI to simulate defocus glasses on smart device displays.

Users may benefit by getting immediate vision relief from their screen. It alleviates the need for users to wear defocus glasses, which is better for eye health.

HONOR labs’ data notes that this feature is capable of decreasing users’ transient myopia by 13 degrees on average. This is after reading for 25 minutes, with users experiencing a maximum reduction of 75 degrees. The company has been on a roll this year with their developments, so stock should be up on their devices soon enough.

If readers are interested, we have a recently published review on the HONOR Magic6 Pro for your reading pleasure.

What do you guys think of MWC Shanghai, HONOR, and their new features? Share your thoughts below!

Frequently Asked Questions

What does HONOR’s AI Deepfake Detection feature do?
The feature analyzes frame-by-frame details such as eye contact, lighting, image clarity, and video playback, identifies inconsistencies missed by the human eye, and instantly warns users.
How much can the AI Defocus Eye Protection reduce transient myopia?
The technology reduces transient myopia by an average of 13 degrees after 25 minutes of reading, with a maximum reduction of 75 degrees reported.
What type of data was used to train the Deepfake Detection algorithm?
The algorithm was trained on a large dataset of media related to online scams, enabling on-device AI to identify and screen deepfakes within seconds.
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Written by
Duane Villanueva

Communication graduate, closet cynic, and kid at heart. Duane is a rare person to find, quite literally. He often takes to himself but has proven his mettle in tech media with his quick wits. Well, the portfolio of scriptwriting, web content, and public relations help too, we suppose. As a homebody, he often spends his time on the streaming platform Twitch or ‘farming’ gaming clips with friends. He is also an avid fan of round glasses and anything relative to blueberries.

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