AllbeSmart - E robotic midih-presentation-oc2_demo_day
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Design, develop and validate an Augmented Reality (AR) application for training-on-the-job and maintenance assist operations- An AllbeSmart experiment based on MIDIH Open Platform Architecture
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AllbeSmart - E robotic midih-presentation-oc2_demo_day
- 1. E-ROBOTIC Speaker: Hugo Marques Mentor: Oliver Keil
- 3. Lisbon Oporto Castelo Branco Faro Who we are – Allbesmart • Allbesmart is a technological SME founded in 2015: • 8 Engineers (4 PhDs) in Telecommunications and Computer Science. • Specialized in: • Customized software development • Wireless connectivity (3G/4G/5G, Vehicular, WiFi) • IoT solutions (Smart city solutions) • Industry 4.0 (Image Processing, Augmented Reality) • Systems integration Water monitoring V2V & V2I Transportation Industry 4.0 AR for Utilities Smart city Mobility Industry 4.0 Transport Infrastructure IT services
- 4. Lisbon Oporto Castelo Branco Faro Our customer – StoneShield • StoneShield is an industrial SME founded in 2017: • 12 Engineers (1 PhD) in Telecommunications, Mechanics and Computer Science • Specialized in: • Design and development of customized machines for industrial applications • Robotic solutions • Taping solutions • Industrial engineering solutions • The team has 15+ year experience in the design and development of machines for industrial applications
- 6. AS-IS scenario, challenge, problem to be solved • 90+ million vehicles are manufactured every year • 60% of all electric cables manufactured are installed in cars • Car manufacturers are using increasingly smaller components • Miniaturization raises new challenges for manual labour • Automation requires training/education and specialized maintenance operations • Taking advantage of this opportunity, several Portuguese SMEs are designing and manufacturing machines for the automation of the cable assembly industry Robotic Seal Inserter (RoSI)
- 8. TO-BE Scenario • E-ROBOTIC Main Goal • Design, develop and validate an Augmented Reality (AR) application for training-on-the-job and maintenance assist operations. (Conceptual images, February 2020)
- 9. TO-BE scenario • E-ROBOTIC Main AR interface Bar
- 10. TO-BE scenario & Workflow • E-ROBOTIC Main AR interface Bar submenus and navigation
- 12. Architecture
- 13. Architecture – Possible improvements • When implementing a topology with a context broker as a central hub for all information flows we should minimize the volume of data that traverses the context broker • This approach takes the load from the context broker • when retrieving large files (documents, images or videos).
- 14. KPIs & Business Impact
- 15. KPIs & Business impact Increase Increase Decrease Decrease From 20% to 5% Up to 70% Decrease Up to 40% ! Machine Downtime Cost of Training Faulty Products Machine Lifetime Worker Safety Increase New customers Increase Revenue Increase New jobs Up to 40% Up to 30% Up to 20%
- 16. THANK YOU! Promotional video available at: https://youtu.be/7llR-k7J55g