Space Application Hackathon is ...
is technology competition organized by ESA BIC Prague in cooperation with other partners within the Czech Space Week which is focused on 4 main categories: Earth Observation; Navigation/GNSS; SpaceTech; Blockchain in Space.
For 24 hours ...
teams come together to work on challenges with the goal to imagine and design innovative services and products that find every day uses for space technologies or data.
composed of 2-5 multidisciplinary participants will try to create a prototype with business potential that can be pitched in 7 minutes.
The European Astronaut Centre (EAC) is a centre of excellence for astronaut selection, training, medical support and surveillance, as well as supporting astronauts and their families in preparation for, and during, their spaceflights.
Prize by Fujitsu
close look at the Fujitsu plant in Augsburg where the CELSIUS workstations, LIFEBOOK notebooks and PRIMERGY servers are manufactured + major discount for CELSIUS workstation
Prize by SpaceKnow
Lunch with research team + book about Deep Learning book and goodies for winner of Earth Observation category
Prize by Blockchain Republic
10.000 CZK for winner of Blockchain in Space category
Prize by Space System Czech
10.000 CZK for winner of Blockchain in Space category
Prize by GSA
winners can present their work at Open Days + goodies
OTHER REASONS WHY SIGN UP INTO HACKATHON
Networking and self-presentation in front of leaders of Czech start-up community and representatives of MNCs with a chance to launch successfull cooperation, possibility to meet innovators and space technology enthusiasts.
In many cases it is difficult to derive Land Use from Land Cover directly. For instance, say we have land cover map of a region and want to derive land use map of urban areas. So we use land cover as a mask to get urban areas. In this particular case we mask Sentinel-2 image with the mask of urban areas. And after we develop suitable image classification of this urban areas that would allow us to tell where are industrial areas, where commercial areas, where residential areas, where recreational areas etc. The members of the team need to decide on the pilot area. Probably it is good to select a cloudless area, so that it is easy to find cloudfree image from Sentinel-2. As an output there should be described workflow and classification algorithm used.
The idea is to create an application that will help people to plan a trip to the seaside based on Copernicus (Copernicus Marine Environment Monitoring Service, Copernicus Atmosphere Monitoring Service, European Centre for Medium-Range Weather Forecasts) data and possibly other open datasets. The physical variables that would be nice to analyze are following: temperature of air and sea, UV index, water and air quality, air velocity and humidity. Except this factors there could be also others such as proximity and specific points of interest taken into account. As a result there should be created a prototype of the application.
Autonomous inter-city transport is one of five research pillars defined by the European Commission for the years to come. Whether it is inter-city or intra-city transport, mass or personal, the decision system must orientate itself within urban environment. One type of data entering the decision process is the data acquired by the vehicle. Another type of data might be data already existing – whether we think of data from the cadastre, RUIAN, OpenStreetMap, statistical data, transport data, crowd-sourcing data, satellite data, etc. The aim of this call is to make publicly available information relevant for the decision-making system in autonomous car systems.
Being able to detect various kind of ships from different data sources is still very important task. Goal of this challenge is to come up with a novel way how to detect ships across different types of satellite imagery.
In recent years there was a significant progress in image enhancement techniques in computer vision. Goal of this competition is to come up with some interesting solution in the field of super-resolution, automatic image generation, image augmentation or image in-painting applied to the satellite imagery.
Spaceknow currently provides variety of APIs for satellite imagery. Goal of this challenge would be to create an application that leverages SpaceKnow APIs. For example we can imagine applications such as satellite imagery availability world-wide heat-map.
Currently, there is huge amount of different types of satellite data as well as other types of geo-referenced data eg. Open Street Maps or social networks. Goal of this challenge is to build something cool combining different types of data.
The aim of the project is to create prototype of the application that would help a person to find a suitable beach for the relaxation on the seaside. Important criteria that could influence the user’s choice need to be defined. After that the team would create application mockup and subsequently the functional prototype.
It is encouraged to use the following datasets:
- SPOI dataset: https://sdi4apps.eu/spoi/. The dataset provides over 27 000 000 points of interest (restaurants, cinemas, mountain peaks, monuments, churches, supermarkets, pharmacies and what not). All data is available to usage from SPARQL endpoint (http://data.plan4all.eu/sparql).
- Global Forecast System (GFS) by National Oceanic and Atmospheric Administration (NOAA): https://www.ncdc.noaa.gov/data-access/model-data/model-datasets/global-forcast-system-gfs, provides free weather forecast in form of grib files.
- Copernicus Marine Environment Monitoring Services (CMEM): http://marine.copernicus.eu/services-portfolio/access-to-products/, provides free data on such topics as water temperature, water salinity, ocean currents, ocean water chlorophyll content. To access the data one needs to create an account at first.
- Copernicus Atmosphere Monitoring Services (CAMS): https://atmosphere.copernicus.eu/catalogue. The data allows to monitor the atmospheric pollution by different chemicals, as well as it allows monitoring of UV radiations, which could be relevant for the application. To get the access to the data one needs to follow the procedure described here: https://confluence.ecmwf.int/display/CKB/FTP+access+to+CAMS+global+data.
The task is to use Sentinel-2 imagery and OpenStreetMap dataset (extract of selected land use objects – stadiums, airports, ports etc. – to create training and validation samples. And then after – run convolutional neural network deep learning to create a model to identify those features on other images. After model is created validate it on other images. As a tool for creating model one could use: https://www.tensorflow.org/, Sentinel-2 imagery is available at Copernicus Open Access Hub: https://scihub.copernicus.eu/dhus/#/home and OpenStreetMap datasets are available at: https://www.geofabrik.de/data/download.html.
Suggest a small tracker which can be use in almost every drone, which can use IoT for example to share the height and position in real-time with authority or for industry purposes.
The objective of this challenge is to develop an innovative solution, application, technology and/or service that fits or support the Smart City concept and utilises GNSS signals. Global Navigation Satellite Systems are the unique source for positioning, navigation and timing (PNT solutions). PNT, together with communication are essential parts of any solution for Smart City. The competitor shall deal with aspects as GNSS signal vulnerability, precision navigation in urban cannons, he/she shall combine communication, positioning, navigation and/or timing solutions in his/her design and shall address issues, topics & challenges within the Smart City Concept.
More information coming soon…
The objective of this challenge is to develop an innovative idea, solution, application, technology and or service that helps to improve indoor navigation. Global Navigation Satellite Systems are the unique source for positioning, navigation and timing (PNT solutions) but due to a very weak electro-magnetic signal that travel ~23 000km from a satellite and due to frequencies used its penetration inside objects is very limited. Moreover, for precise measurements and position computation a direct line of sight between the transmitting antenna of satellite and receiving antenna of receiver must be met. Any kind of signal reflection is undesirable. For precise positioning, navigation and timing inside objects (where an authentic GNSS signal is shielded) alternative technical solutions must be placed.
The competitor shall be creative in developing technological solution that complement standard GNSS based PNT for indoor navigation. New technical and or physical concepts shall be proposed, combination with any kind of signal of opportunities, combination and fusion with additional sources (e.g. inertial systems) etc. shall be utilised.
The objective of this challenge is to develop an innovative idea, solution, application, technology and or service that utilises GNSS RAW measurements on an Android based smartphones. In May 2016, Google announced the availability of GNSS RAW measurements from Android 7. For the first time, developers could access carrier and code measurements and decoded navigation messages from mass-market devices. There are several advantages of using GNSS RAW measurements on smartphones. Their use can lead to increased GNSS performance, as it opens the door to more advanced GNSS processing techniques that, until now, have been restricted to more professional GNSS receivers.
The competitor shall propose a solution that utilise GNSS RAW measurements feature and propose either a brand-new application that benefits from increased GNSS performance, incorporated advanced GNSS processing techniques in mass market devices, or improvements to already existing application that so far was not able to benefiting new RAW measurements advantages. It is suggested that competitors get acquainted with the GSA´s White Paper on using GNSS RAW measurements on Android devices – available here: (https://www.gsa.europa.eu/system/files/reports/gnss_raw_measurement_web_0.pdf)
The objective of this challenge is to develop an innovative idea, solution, application, technology and or service that helps to overcome GNSS vulnerability and improve resilience of GNSS based applications against intentional and/or unintentional radio-frequency interference (RFI) events. These events are generally known as jamming, spoofing and meaconing. Due to a very weak electro-magnetic signal that travel ~23 000km from a satellite (GNSS signal when reaches the Earth surface has minimum power on ground -155dBW), such signals may be easily compromitted, shielded, interferenced or somehow destructed. Nowadays, GNSS based PNT is used not only in transportation, but in telecommunication, energy distributions grid management, bank and stock exchange applications and many more different market economies. These all relies on high accuracy, precision and/or time synchronisation.
The competitor shall propose solution, techniques that either detect and identify RFI presence in space or eliminate negative effect of RFI on PNT solution on any layer of processing chain and/or propose solution for RFI detection and positioning of the RFI source in space.
Your innovative idea how to use GNSS.
Bring into VR problem of close approach between space debris and satellites so that wide public is aware of changing the orbits of satellites and complications which this brings.
- Predicting close approach between space debris and satellites ( 7 to 8 km/s ) and changing the orbits of satellites based on observational data.
- Safe operation with accurate calculation of the orbits of a number of satellites under operation and of space debris.
- Recently made large contributions to the safe launches of “Konotori 1, 2 & 3“ , bringing food, water, and experiment- related equipment to the space station.
- Based on satellite images we can tell amount of protein in rice
- Protein values change taste of sake
- Producer can offer to brewery only high-quality rice
- Best sake in Japan is produced with IoT based solution and satellite images (use case from Asahi)
Show Earth as it was never shown before – become an artist. Process large images and show to the world downunder.
More information coming soon…
Invent the future of small satellites or new payloads for drones and demonstrate how it will bring value to customers.
Invent new possibilities how can be use swarm drones in industry and the way of their cooperation and type of their operations.
Create a proposal of a new drone test polygon in Czech Republic where will be testing new drones and their use for classic operations and mainly for new types of operations before deploying them into urban traffic, such as flying beyond visual line fo sight, delivery, cargo drones and urban drone transport.
Your innovative idea
Initially distributed ledger technologies rely on blockchain based on proof-of-work mechanism. It effectively solves the double spending problem but consumes too much power and cannot efficiently scale. Distributed ledger can be based on other consensus mechanisms. Find a new consensus mechanism, using the properties of assets in orbit or distributed in space that – at least for some applications – surpasses current consensus mechanism and create its prototype or simulator.
Space agencies, like the European Space Agency, generate a huge amount of know-how, IPR and related items. It is possible to store them in a database or several databases, but such an approach requires to solve all the issues the centralized database brings. Propose and implement a prototype of a distributed ledger powered system that enables efficient storage and access to a decentralized know-how database. It needs to provide features for access control, transparency of access, efficient search, an overview of granted licences, royalties resolution and additional features making it better than existing solutions.
Safety and security belong to the most important aspects of modern society. Propose a blockchain solution that prevents security risks or helps to mitigate consequences by using or collecting additional metadata from space infrastructure or in-situ measurements. Examples of the events prevented, or consequences mitigated can be:
However, the challenge is not limited to the enumerated examples. We are seeking solutions that will promote safety and lower risks for everyone across all aspects of current and future society.
For example, assessing storm damages, flood affected areas, progression & forecasting forest fire development, and analyzing potentially vulnerable areas rely on and benefit from accurate EO (Earth observation) data. Typically, most damage assessments are done by physically visiting the site of interest. Impact areas can be vast and consist of multiple locations. This is time consuming and relatively costly and most of all, customers have to wait, at worst, for months on settlements being issued.
Access to DB
Certification of time – and change from before and after
Collected weather data
Trust of image data at time/location of incident claim.
Your innovative idea how to use blockchain.
Denisa is a philosopher and designer that experiments with various creative strategies of public engagement in emerging science and technology issues. She uses design methods (UX, critical design, design fiction, future scenarios, participatory design), ethnography and prototyping to research STS (Science, Technology and Society) issues. She spent the last decade as an Assistant Professor at the National University of Singapore, Senior Lecturer of Future Design in Prague College, and most recently as a Visiting Assistant Professor in Arizona State University, where she continues to cooperate as an affiliate member with the Centre for the Study of the Future. She is joining the BISITE group as a Marie Curie Senior Fellow to research Distributed Ledger Technologies (blockchain) and applications (smart contracts).
David is dreamer who loves to peer over horizon, visualize it in detail what the future might hold, and this detailed picture keeps pulling me forward, into tomorrow.
In a third decade of working with and helping people to grow, be successful and happy. His focus is on the intersection between people and technology to create innovative solutions that generates new sustainable businesses.
Tomas has been involved in the space technology domain for more than 8 years, focused primarily on GNSS. His Ph.D. research was focused on GNSS RFI detection and mitigation. Now working for GNSS Centre of Excellence, beforehand for Astrium CZ.
Filip is Marketing & PR Manager at Fujitsu. Started as a journalist in Týden magazine. As a foreign desk journalist, he told stories from worlds thousands miles away. He loves new technologies and in Fujitsu he has direct line to vast pool of innovative Japanese ideas.
Tomas is Senior Data Scientist at Spaceknow. Expertise in image processing and advanced imaging systems. Formerly Computer Vision Scientist at Swiss Federal Institute of Technology in Lausanne. PhD in Computer Science. Publications in top ranked scientific journals, co-inventor of an international patent.
13:00 Participants registration
13:30 Welcome speech, presentation of challenges and data tools
14:00 Workshops (WS) to help you tackle the technology and challenges
15:20 Building the teams and pitching your idea
16:00 Hacking time
19:00 FuckUp training: how NOT to start a business
22:00 Exercise with Twiner
14:30 Pitch training
16:00 End of hacking and cofee break
17:00 Presentation for the jury
19:00 Award ceremony, Farewell cocktail
Designation of Winners
Each team will present its project to a jury during a 7-minute presentation which will take place at the end of the competition. The projects are assessed according to FIVE criteria: