Team number 21
The aim of the project is to create a system for monitoring vehicles in urban areas using camera technology, edge computing (counting directly on end devices), machine learning, and IoT platforms. The role of the system is to record and evaluate vehicle behavior information in the track section to help optimize traffic by, for example, identifying "busy hours" based on the length of vehicle stagnation or detecting the entry of an unauthorized vehicle into a designated location.
We will replace the manual analysis of vehicle behavior in an automated way, allowing for a more accurate recording of traffic events..
Thanks to the processing of video stream directly on the end device, we can save costs and send the already evaluated data to the cloud.
The obtained data will be usable, for example, to improve urban systems such as the SmartParking platform (zaparkuj.to) or directly to optimize traffic.
Project leader
Developer
Computer Vision & Algorithms
Scrum Master
Full-stack Developer
Computer Vision & Algorithms
Developer
Graphic Designer, Front-End Developer
Git master, Developer
Step 1: Write a methodology of something.
Step 0: Write a methodology of how to write a methodology first.
Step -1: Write a methodology of how to write a methodology on how to write a methodology first.
Step -2: Write a methodology of how to write ...
Meeting with product owners, configuring servers and IDEs.
Starting development of all application components (AI camera module, BE / FE server)
Display the number of transits from the monitored area on the web based on camera generated events.
Allowing the user to modify the configuration of the monitored area to the camera using annotations and display the transition histogram for the monitored area.
MVP
Integrate HERE maps and livestream from camera
Finish the livestream, implement keypoint-tracking, unify design according to design manual.
Visualization of passes between zones in maps and photos of the intersections.
Visualization of movements and stalls of vehicles via trajectories and heat maps, deployment of the software on a real camera device.
Improved perfomance by aggregating movement data, design tweaks.
Visualization of transit volume over time, GPU acceleration.
| Description | Date | Download |
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| Report 1 | 28. 09. 2018 |
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| Report 2 | 05. 10. 2018 |
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| Report 3 | 12. 10. 2018 |
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| Report 4 | 19. 10. 2018 |
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| Report 5 | 26. 10. 2018 |
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| Report 6 | 09. 11. 2018 |
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| Report 7 | 16. 11. 2018 |
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| Report 8 | 23. 11. 2018 |
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| Report 9 | 30. 11. 2018 |
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| Report 10 | 07. 12. 2018 |
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| Report 11 | 14. 12. 2018 |
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| Popis | Dátum | Stiahni |
|---|---|---|
| Report 12 | 12. 2. 2019 |
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| Report 13 | 19. 2. 2019 |
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| Report 14 | 26. 2. 2019 |
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| Report 15 | 5. 3. 2019 |
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| Report 16 | 12. 3. 2019 |
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| Report 17 | 19. 3. 2019 |
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| Report 18 | 26. 3. 2019 |
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| Report 19 | 2. 4. 2019 |
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| Report 20 | 9. 4. 2019 |
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| Report 21 | 16. 4. 2019 |
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| Report 22 | 30. 4. 2019 |
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| Report 23 | 7. 5. 2019 |
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| Description | Date | Download |
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| Tasks export 1.sprint | 24. 11. 2018 |
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| Tasks export 2.sprint | 24. 11. 2018 |
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| Tasks export 3.sprint | 24. 11. 2018 |
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| Tasks export 4.sprint | 12. 12. 2018 |
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| Tasks export 5.sprint | 12. 03. 2019 |
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| Popis | Dátum | Stiahni |
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| Tasks export 6.sprint | 03. 03. 2019 |
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| Tasks export 7.sprint | 10. 05. 2019 |
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| Tasks export 8.sprint | 10. 05. 2019 |
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| Tasks export 9.sprint | 10. 05. 2019 |
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| Tasks export 10.sprint | 10. 05. 2019 |
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| Tasks export 11.sprint | 10. 05. 2019 |
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| Popis | Dátum | Stiahni |
|---|---|---|
| Summary of 1. sprint | 24. 11. 2018 |
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| Summary of 2. sprint | 24. 11. 2018 |
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| Summary of 3. sprint | 24. 11. 2018 |
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| Summary of 4. sprint | 12. 12. 2018 |
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| Summary of 5. sprint | 12. 3. 2019 |
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| Popis | Dátum | Stiahni |
|---|---|---|
| Summary of 6. sprint | 03. 03. 2019 |
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| Summary of 7. sprint | 10. 05. 2019 |
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| Summary of 8. sprint | 10. 05. 2019 |
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| Summary of 9. sprint | 10. 05. 2019 |
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| Summary of 10. sprint | 10. 05. 2019 |
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| Summary of 11. sprint | 10. 05. 2019 |
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| Description | Date | Download |
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| Methodics of deployment | 27. 03. 2019 |
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| Methodics of code | 23. 11. 2018 |
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| Methodics of tasks | 23. 11. 2018 |
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| Methodics of communication | 23. 11. 2018 |
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| Methodics of git | 23. 11. 2018 |
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| Methodics of testing | 14. 12. 2018 |
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| Methodics of documenting | 14. 12. 2018 |
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| Methodics of design | 10. 5. 2018 |
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| Description | Date | Download |
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| Motivation documment | 19. 09. 2018 |
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| TP Cup application | 18. 10. 2018 |
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| Mentoring materials | 18. 11. 2018 |
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| 9 weeks report | 23. 11. 2018 |
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| Big picture - Project mangement | 14. 12. 2018 |
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| Big picture - Engineering product | 14. 12. 2018 |
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| System modules | 14. 12. 2018 |
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| Installation guide | 14. 12. 2018 |
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| Swagger - backend documentation | 10. 5. 2019 |
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| Javadoc - backend documentation | 10. 5. 2019 |
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| SchemaSpy - database documentation | 10. 5. 2019 |
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| JSDoc - frontend documentation | 10. 5. 2019 |
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| Final installation guide | 10. 5. 2019 |
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| User guide | 10. 5. 2019 |
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| Big picture - Engineering product (final) | 10. 5. 2019 |
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| System modules (final) | 10. 5. 2019 |
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| Big picture - Project mangement (final) | 10. 5. 2019 |
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tim21.2018.fiit@gmail.com
