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Environment to showcase AR remote interactions with IoT devices and advanced RC of vehicles hands free. Developed in 38h for the NASA Space Apps Challenge 2019.

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nesjett/NASA-SpaceAppChallenge2019

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NASA Space Apps Challenge 2019

3rd place + Best use of hardware awards

Nasa's space apps challenge, celebrated in Hong Kong for the first time in the contest history.

Contest location

  • City University of Hong Kong, October 2019

More info at Nestor Sabater's portfolio

Developed with Unreal Engine 4 + Leap Motion By Nestor Sabater and Marcos Urios


Assets used:

The rest of the models and environments have been developed by the team itself.


Demonstration video

Youtube demo video

Video preview 1

Video preview 2

Environment screenshot

The idea

The idea behind the project is to experiment and showcase with new types of interactions. We choosed astronauts as it may be more usefull to them, but this could be used for heavy machinery or ingeneering positions aswell.

This interactions can be actually be performed in the real world, thanks to Machine Learning and Deep learning to recognice things, plug a set of devices like leap motion, project north star and some other cameras for deph checking, capturing and recognition.

You can read more about this kind of setups here: Project north star blog

Winning photo

About

Environment to showcase AR remote interactions with IoT devices and advanced RC of vehicles hands free. Developed in 38h for the NASA Space Apps Challenge 2019.

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