High-Level Project Summary
Ever increasing quantity of space debris represents one of the major threat for safe space exploration.We developed a Space Debris Combating Application and robot:Locate space objects, differentiate space debris from other objects, classify debris and identify its parameters ,visualize debris motion in AR. Second part of our project is a robot , which is able to:Execute ALL functions of Space Debris Combating App, Execute ADDITIONAL actions to combat space debris (e.g. its termination by rocket inside the robot or catch space debris), Perform object recognition task, Perform multiple programmed actions to solve the physical tasks, Can work in autopilot mode or remote access mode.
Link to Project "Demo"
Link to Final Project
Detailed Project Description
Space Debris Combating Application based on ML model allow us:
1) Locate space objects
2) Differentiate space debris from other objects
3) Classify debris & identify its parameters (e.g. name, type, size, speed, discovery date, etc.)
4) Visualize debris motion in Augmented Reality (in either map-based or globe-based mode)
5) Provide safe navigation and routing (e.g. of satellite) among debris congeries.
In addition we are presenting a robot that despite its weak processor is able to:
1) Execute ALL functions of Space Debris Combating App.
2) Execute ADDITIONAL actions to combat space debris (e.g. its termination)
3) Perform object recognition task
4) Perform multiple programmed actions (much more than normally allowed by its cpu!!!)
Robot is made in a humanoid form (for easier perception) but can also be imagined as any other space device – satellite or rover.
This is made possible with the use of our technology.
For people with disabilities, the robot can be controlled through InteraXon Muse 2 (for controlling the robot by brain and muscles activities)
Space Agency Data
https://solarsystem.nasa.gov/resources/2393/earth-3d-model/ for Earth in AR
https://www.nasa.gov/centers/hq/library/find/bibliographies/space_debris - for research
https://orbitaldebris.jsc.nasa.gov/ - for research
https://www.nasa.gov/mission_pages/station/news/orbital_debris.html - for research
Get some research on https://data.nasa.gov/browse?q=space%20debris&sortBy=relevance and
https://data.nasa.gov/browse?q=asteroids&sortBy=relevance for reseach and data datasets for for classification and visualzation
https://donnees-data.asc-csa.gc.ca/en/dataset/9ae3e718-8b6d-40b7-8aa4-858f00e84b30 - for classification and visualzation
Hackathon Journey
Space Apps challenge for us it's sleepless nights and a lot of working. The problem with space debris, one of the main problems of the future space. Now scientists from all over the world are trying to solve the problem with space debris.
More than 128 million pieces of space debris are in Earth's orbit. And every year space debris is becoming more and more. This problem pollutes the orbit of our planet, in whith we all living. For this reason, we took on this task.
The task of the challenge is fully completed!
References
https://developer.apple.com/augmented-reality/
https://www.kaggle.com/sohamxi/satellite-position-data-idao-2020
https://developer.apple.com/documentation/coreml
https://www.tensorflow.org/ for https://github.com/tensorflow/models/blob/master/research/object_detection
https://pytorch.org/
https://www.digitalocean.com/
https://www.tensorflow.org/tutorials/audio/transfer_learning_audio#:~:text=YAMNet%20is%20a%20pre%2Dtrained,classify%20cat%20and%20dog%20sounds.
https://arxiv.org/abs/1905.02244
https://flask.palletsprojects.com/en/2.0.x/
https://www.nginx.com/
https://www.anaconda.com/
https://www.patbase.com/login.asp - we made our project absolutely unique
InteraXon Muse 2 (for controlling the robot by brain and muscles activities)
XCode (swift), Python3.9, Arduino Studio (C programming)
Tags
#hardware, #ar, #ml, #routing
Global Judging
This project has been submitted for consideration during the Judging process.