YSpace-Vision

YSpace-Vision| Create a Mascot

Awards & Nominations

YSpace-Vision has received the following awards and nominations. Way to go!

Local Peoples' Choice Winner

Global Nominee

Create a Mascot

The world is full of scientific information that can help us make informed decisions and take action. However, that information is not always accessible to young learners. Your challenge is to create a mascot that can help make learning about Earth and space science more fun and welcoming for younger audiences.

Summary

SpaceVision is a 12 Unit Cube Satellite that carries 360 degree onboard Camera payloads, which relay the space environment, that can be virtualize through a Virtual Reality Like head set, we called Real time reality headset. With the integration of Deep Learning and Computer Vision Algorithm trained with Dataset provided by NASA , it can recognize space objects such as asteroid and moons etc.

How We Addressed This Challenge

12 U Cubesat: this is the non user interactive part, which is launched into low earth orbit in space. The CubeSat is designed to accommodate 4 pcs of a 360 len camera placed on the edge of the CubeSat which relays video data of space to the User interactive part of the system. Among this function through the help of machine learning, the CubeSat should be able to identify space objects and relay them to the User interactive part.
Real Time Reality Headset: This is the User Interactive part which uses a redesigned virtual reality headset to accommodate realtime reality virtualisation of Space and space object recognition

This project gives everybody the opportunity to be in space without travelling to space. the availability of our real time reality headset will revolutionize classroom learning all around the world ,including sub-Saharan Africa. It will give student and children the opportunity to explore space and increase their knowledge and interest. we believe this solution will psychologically help people in stress and trauma.

How We Developed This Project

As a teams we were inspired to choose this challenge because it captures young audiences, and it lets us to help them not just to learn more about space and earth but see and feel space for themselves.

The approach we took was to fully utilized the VR gaming headset for space education since youths are familiar with it. And to be able to do that, we took a step further to designed and later build a CubeSat capable of viewing space and at same time send its live data to the VR headset.

tools used ?

Fusion 360 for our 12U satellite design
Tensor flow and keras for training our dataset
OpenCv for object recognition and Computer vision
PyQt5 for Graphical User Interface(GUI)
Unity Software
Arduino
Logitech Camera C920
Raspberry pi 6pcs
LiPo battery pack (3.7volts 50Ah) 1pcs
Charge controller 1pcs
Power module 1pcs
Wifi Module
Protection side panels 12U 6pcs
Protection edge panels 12U 4pcs
Connection wires set 12 U
Transportation case
USB cable.

Problems?

Developing a launchable 12U Cubesat could not be achieve due to lack of facility and funds.
Transferring Uninterrupted video could not be achieve, because the Logitech latency was very low
Modifying an existing VR to be able to capture Realtime Reality was not easy due to the video processing

Achievement?

Successful deploying and training our AI Algorithm to recognize Planetary Objects and Major earth and Suns Event.
Successful design of 12U CubeSat
Successful Live Video Transfer from CubeSat Prototype using Local Areal WIFI
Being able to successfully work together as a team with diverse skill
Being able to submit our project on time through the help our local lead team.

How We Used Space Agency Data in This Project

1. Asteroid Recognition: We trained our AI-Algorithm from the image dataset of OSIRIS-REx – Detailed Global View of Asteroid Bennu, to enable our AI Recognize Asteroid in space in real time

https://svs.gsfc.nasa.gov/cgi-bin/details.cgi?aid=4857

2. Earth Event Recognition: We were able to train our AI to recognize two main earth event such as the West Antarctic Glacier Ice Flows & Elevation Change and the Arctive Ice Sea Minimum

https://svs.gsfc.nasa.gov/3875

https://svs.gsfc.nasa.gov/cgi-bin/details.cgi?aid=4860&button=recent

3. Sun Event Recognition: We also want our Technology to not just only recognize the Sun but to recognize major event of the sun, such as Solar flairs, so we trained our AI With the dataset of the IRIS views Nano-Flares on the Sun

https://svs.gsfc.nasa.gov/cgi-bin/details.cgi?aid=4766&button=recent