2.12 - Innovation Lab - Synergy between Industry & Universities

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4. Different setups, yet same generic recognition pipeline 4

5. Different setups, yet same generic recognition pipeline Need for an adaptable pipeline ! 5

3. DRIvINg – T e a m U P Distributed Recognition Infrastructure for Intelligent traffic camera Networks

11. ... 11 R e s e a r c h f o c u s – N e w distributed interactions Annotation tool image push annotations

9. N devices Metadata push + camera status On - demand image pull ... 9 R e s e a r c h f o c u s – N e w distributed interactions

13. Beyond ANPR cameras... ... towards a mobility data - hub ! Increased competitiveness of our products New market opportunities I m p r o v e collaboration at Brussels level in AI - based image processing Advance the state of the art in: ● Robust, light - weight Deep Learning - based camera recognition ● Data augmentation based on 3D model fitting ● Number plate recognition 13

10. Metadata push + local performance indicators On - demand image pull A I u p d a t e s Global performance assessment + re - training ... 10 R e s e a r c h f o c u s – N e w distributed interactions

16. Take - away message M a c q i s continuously innovating t h r o u g h : - I n t e r n a l R & D a c t i v i t i e s - Research projects on Brussels and European level - Internships - Master thesis students

6. Acquisition Object detection License Plate detection Make & Model Color OCR + nationality detection Metadata + Keyframe 6 R e c o g n i t i o n p i p e l i n e o n e d g e d e v i c e s

12. Technical innovations ○ Increased robustness ○ Easier installation (lower integration costs) ○ Detection of new object types ○ Continuous performance assessment Valorisation ○ Improved visibility on the current market ○ Easier penetration in new markets ○ New maintenance & upgrade contracts Separated products and maintenance contracts Product - service system 12 A d d e d v a l u e o f t h e p r o j e c t

1. S y n e r g y b e t w e e n I n d u s t r y & Universities A s n e a k p r e v i e w of the future in smart mobility B r u n o C o r n e l i s, d a t a s c i e n t i s t

8. R e s e a r c h f o c u s – s y n thetic license plates C o n f i g u r a t i o n f i l e Pl a t e t e m p l a t e s Emblems R a n d o m t e x t g e n e r a t o r W a r p i n g b a s e d o n m a t h e m a t i c a l model F o n t s 8

14. F u t u r e - A n i nternsh i p o r m a s t e r t hes i s at Macq C o m p u t e r v i s i o n: ● Stereovision with cam5 ● Incident detec t i o n ● Pedestrian tracking ● ... D a t a a n a l y t i c s : ● Tra v e l t i m e p r o c e s s i n g ● Convoy detection ● ... C o n t a c t: br u n o . c o r n e l i s@ m a c q. e u

15. I n t e r e s t e d in m o b i l i t y r e s e a r c h ? Compl i mentary M a c q Mobility Manager for e d u c a t i o n & r e s e a r c h: ○ Mo b i l i t y B i g Da t a p l a t f o r m ○ M o d u l a r i n t e g r a t i o n ○ R e a l (anonymized) d e t e c t i o n s ○ Support f r o m M a c q

2. I n n o v a t i o n a t M a c q P a r t i c i p a t i o n i n 5 o n g o i n g r e s e a r c h p r o j e c t s: - 2 Horizon2020 - 1 I T E A p r o j e c t - 1 Eurostars - 1 I n n o v i r i s TeamUP 3 projects in p r e p a r a t i o n : - Applied PhD + ITEA + ECSEL 4 internships 2 master thes e s O u r m i s s i o n : “always in search of innovative and elegant solutions”

7. R e s e a r c h f o c u s I m p r o v e d r e c o g n i t i o n a l g o r i t h m s D a t a a u g m e n t a t i o n a n d g e n e r a t i o n ● B e t t e r o b j e c t d e t e c t i o n & tracking ● L o c a l / d i s t r i b u t e d p erformance assessment ● Robust under unfair conditions ● F e a t u r e p r o p a g a t i o n ● 3D model fitting in 2 D video ● Synthetic data generation 7

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