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M-CADOR — Steering Committee 2 | Epitech Innovative Project
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M-CADOR — Steering Committee 2 | Epitech Innovative Project

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Presentation for the Steering committee for our final-year project (Epitech Innovative Project) at EPITECH. …

Presentation for the Steering committee for our final-year project (Epitech Innovative Project) at EPITECH.

We did the presentation the 31th May 2013.

M-CADOR (Multiple Capable Aerial-vehicle Designed for Observation and Rescue) is a monitoring system that uses a swarm of autonomous UAVs. It offers a control interface that allows an operator to remotely control a group of UAVs. This solution is intended to be commercialized to companies and communities whose needs in security are increasing.
Website : www.m-cador.com

Team :
Chanh Allaux (EPITECH 2014)
Amandine Armagnacq (EPITECH 2014)
Jonathan Calmels (EPITECH 2014)
Alexandre Champion (EPITECH 2014)
Nicolas Danino (EPITECH 2014)
Alexis Nugon (EPITECH 2014)
Thomas Nugon (EPITECH 2014)
Fares Sabbagh (EPITECH 2014)
Guillaume Spera (EPITECH 2014)
Jimmy Sun (EPITECH 2014)
Laurine Taing (EPITECH 2014)
David Tavares (EPITECH 2014)
Nicolas Trincano (EPITECH 2014)
Rodolph Vogt (EPITECH 2014)
Danijel Zarkovic (EPITECH 2014)

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Transcript

  • 1. Epitech Innovative ProjectSteering Committee 2May 2013Multiple Capable Air-vehicle Designed for Observation and RescueM-CADOR
  • 2. M-CADOR is a surveillance and rescue systemusing a swarm of intelligent dronesSurveillance Security Fire-fighting Rescue
  • 3. CollectiveIntelligenceControlInterfaceVideoAnalysisChargingBasesM-CADOR is a surveillance and rescue systemusing a swarm of intelligent drones
  • 4. ArtificialIntelligence1
  • 5. Patrol algorithms
  • 6. Exploration algorithms
  • 7. Area Management
  • 8. UAV Survival Algorithms
  • 9. Networking2The
  • 10. Conception of a middlewareCode shipping, Consistency as policy,Ordering as policy, Load balancing as policy, Atomic commit,Fault tolerant, Highly scalable, On demand monitoringGo AppsGlobal map, Key distribution system, Operator interfacingThe networking
  • 11. GUI &Computer vision3
  • 12. OBJECT DETECTIONSHaar Feature-based Cascade Classifier, Histograms ofOriented Gradients Descriptor and Blob Algorithm
  • 13. TRAINING HAAR ALGORITHM
  • 14. Find relevant information containedin two images to combine themFusion Algorithm
  • 15. Electronic4The
  • 16. API Development for theartificial intelligence
  • 17. Preparation to send backthe drone to France
  • 18. Working on automatictake off & landing
  • 19. Documentation5The
  • 20. DOCUMENTATIONHow to install the developmentenvironment on the embedded LinuxInstallation and compilationof the simulatorInternal documentation
  • 21. M-CADORIn the field !6
  • 22. January February March April May June July August September October November DecemberInnovactForum2012
  • 23. January February March April May June July August September October November December2012Visit ofNathalie Kosciusko-Morizet
  • 24. January February March April May June July August September October November December2012Carrefour des Possibleswith GDF-Suez
  • 25. The PressAbout M-CADOR7
  • 26. “M-CADOR à Innovact 2012”March, 2012http://www.epitech.eu/eip-2014-epitech-innovative-project-m-cador-art1330.html
  • 27. “Innovact, l’imagination au pouvoir”April, 2012http://www.lunion.presse.fr/diaporama/innovact-limagination-au-pouvoir?idx=3
  • 28. “M-CADOR,un EIP à la limite de la science-fiction”October, 2012http://labfree.labs.epitech.eu/2012/10/11/m-cador-un-eip-a-la-limite-de-la-science-fiction/
  • 29. DigitalCommunication8
  • 30. Web sitewww.m-cador.comSince april, 20121511 Unique visitors
  • 31. Become the mediawww.m-cador.com/actualites
  • 32. Social MediaTwitterAccountLinkedInCompany pagePinterestBoardsFacebookFan pageYoutubeVideosSlideshareSlides
  • 33. 9Humans& Technicals problems
  • 34. Organization problemswith the year abroadTeam of 15 students spread over 6 countries(France, Ireland, USA, Canada, China &South Korea)
  • 35. Delay with the receipt of UAV
  • 36. Problem with the conceptionof the charging base
  • 37. 10What’sNext ?
  • 38. Algorithm foranomaly detection
  • 39. CommunicationUAV/base & base/base
  • 40. Charging base
  • 41. Steering the UAV
  • 42. Planning algorithms
  • 43. Implementationof the GUI
  • 44. 11 FinalRecap
  • 45. M-CADORArtificialIntelligenceGUIComputerVisionElectronicNetworkCommunication
  • 46. THANK YOUwww.m-cador.com@M_CadorMCADOROfficielLet’s get social!