AR Core Expert

ARCore Augmented Faces ( v 1.10.0) expert required.

Budget is £600.

Please have a very careful read through below specification. It is a difficult one! You will require scripting skills down to source-code level! If you are thinking of downloading ARCore for first time and giving this project "a go" this will probably not be the project for you.


I) Build an Android app. to track face features and separate 2d image at same time

II) Display distance between both in real time

III) Using back camera of Samsung S8.


Please send Unity 3D project to me:

a) ARCore Augmented Faces using Unity working on BACK CAMERA(!) of Samsung Galaxy S8 (not front/selfie camera!).

b) Use AR Core Augmented Images (or another 2D image tracking API such as Vuforia) to bring real-world scale to scene in a). Image is any image 35mmx35mm square. In other words- tracking 2D image and tracking face at same time to real life scale.

It may be best to demonstrate b) by taking these steps:

i) Rendering an AR object at a point on real face. Any point you want for example tip of nose.

ii) Separate AR object on real 2D image. Any place on 2D Image.

ii) Display distance between both AR objects while real face point and real 2d image next to a real ruler/meter stick or something of known size.

See picture attached below.

Maybe there is better way to demonstrate scale but I leave that up to you.


I am flexible on milestones but these are suggested:

1) Live demo of a) working on any Android device. £95.

2) Above Unity Project of a) sent to me and successfully built to my Samsung S8. £205.

3) Live demo of b) working on any Android device. £95.

4) Above Unity Project of b) sent to me and successfully built to my Samsung S8. £205.

Total £600.

All intellectual property and copyright to be owned by me.

More work to follow for successful completion of project.

Good luck!


Skills: ARCore, Augmented Reality, Machine Learning (ML), Mobile App Development, Unity 3D

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About the Employer:
( 5 reviews ) London, United Kingdom

Project ID: #19975338

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