Magic 2.0

Detects emotions in real-time and animates selfie-videos

5 followers

Detects emotions in real-time and animates selfie-videos

5 followers

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Launch tags:Social Media•Augmented Reality•Tech

Launch Team

ClarifyThe full-stack AI CRM for modern GTM teams

Promoted

Chudo Virtual Spaces

Maker

Hello hunters! We are excited to introduce you to the Magic 2.0! New build by the numbers: - 2,880 hours were spent teaching the neural network to recognize emotions - 1,832 times the phrase “Try another color and shape” was said by Magic’s Art Director to perfect the graphics - 274 cups of coffee were drunk while coding this build - 2 inches of beard were grown by Magic’s CEO to improve face detection and tracking for people with facial hair - 1 iPhone was smashed against the wall by Magic’s Head of Engineering when he read a negative review about bugs in version 1.0 As you can see, the team at Magic spent days and nights developing some top notch AR tech to surprise you and your friends. Try it out and please share your feedback!

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9yr ago

@gabrelyanov so, you can't write now: "No iPhones Were Harmed in the Making of This App"

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9yr ago

Chudo Virtual Spaces

Maker

@perpetuous ahahah ) so true

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9yr ago

Chudo Virtual Spaces

Maker

@fogueiravb Thanks Vazgen for your feedback!

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9yr ago

I noticed the app is free and that it's your only app in Apple store. How are you making money off this? In your Privacy Policy I was looking to see what data you collected from the user (under the assumption that if the user is not paying for the app then you're selling the user's data to make money), it states "The owner does not provide a list of Personal Data types collected." What data are you collecting from the user?

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9yr ago

Chudo Virtual Spaces

Maker

@fbara thanks for your questions! We're planning to generate revenue from product placements - we already have few offers from digital agencies to promote FMCG brands this summer. We don't collect data like users' pictures or videos.

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9yr ago

wow! did you base your approach to identifying emotions based on Paul Ekman's research or just taught the network from scratch?

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9yr ago

MakeApp 3.0

Maker

@mikael_yang We trained the network ourselves. 2,880 hours were spent teaching the neural network to recognize emotions. When we found that it was having trouble detecting the emotions of our bearded users, our CEO @gabrelyanov grew a 2 inch beard to train and improve the technology :)

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9yr ago

Startup TV

Hunter

Meet Magic version 2.0 - the first app that detects facial expressions in real-time and augments your videos with emotion based animations. Version 2.0 introduces greatly improved emotion detection, a simpler UI, and a characters function that works alongside Magic’s unique animated emotional augmentation tech.

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9yr ago

Chudo Virtual Spaces

Maker

@erictwillis Thanks for hunting!

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9yr ago

MailKing by cloudHQ

Emotional detection is very hot right now. Any plans to dev for VR like @eyefluence?

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9yr ago

I absolutely love the product & design, all details are so well thought about... keep going guys and maybe one day Facebook will have to make you an offer you wont refuse:D

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9yr ago

Chudo Virtual Spaces

Maker

@daniel_mishin Thanks Daniel for your feedback! As far as I know FaceBook already acquired face recognition technology provider FacioMetrics to add fun effects to photos and videos. But who knows )

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9yr ago

Handl

Have you used an open source solution to detect facial expressions?

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9yr ago

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