La Fabbrica Intelligente (Antimo Musone, EY - Matteo Valoriani, Fifth Ingenium)
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(May 10th 2019) Data Driven Innovation 2019. Dipartimento di ingegneria, Università degli Studi Roma Tre.
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La Fabbrica Intelligente (Antimo Musone, EY - Matteo Valoriani, Fifth Ingenium)
- 1. FABBRICA INTELLIGENTE Matteo Valoriani & Antimo Musone
- 2. @MatteoValoriani Linkedin: https://it.linkedin.com/in/matteovaloriani GitHub: https://github.com/mvaloriani Blog: http://fifthingenium.com/blog Matteo Valoriani PhD CEO of FifthIngenium matteo.valoriani@fifthingenium.com @AntimoMusone Linkedin: https://it.linkedin.com/in/antimo-musone GitHub: https://github.com/mrcarbook Antimo Musone Senior Manger EY Italia Co-Founder of FifthIngenium antimo.musone@fifthingenium.com antimo.musone@it.ey.com 2
- 4. HYPE CYCLE FOR EMERGING TECHNOLOGIES, 2018 4
- 7. BRAIND40 – La Soluzione7 LESS PAPER, MORE DIGITAL 3D MANUAL Visualizzazione del Manuale di istruzioni in 3D/AR MR CHECKLIST Checklist per la manutenzione in 3D/AR MAINTENANCE 3D MODEL VIEWER Visualizzazione 3D di prototipi e/o modelli virtuali PLANNING& PROTOTYPING 7
- 8. 8
- 9. SAFETY & WORK ENVIRONMENT PLANNING RELAYOUT Progettazione e organizzazion e dello spazio di lavoro PLANNING& PROTOTYPING
- 10. BRAIND40 – La Soluzione TRAINING & DEVELOPMENT 10 TRAINING Training virtuale del personale per l’uso delle macchine Pianificazione della formazione del personale in conformità con gli standard OCRA TRAINING SKILLS 10
- 11. 11 11
- 12. 1212
- 13. 13 ML
- 15. ARTIFICIAL INTELLIGENCE NELL’INDUSTRIA 4.0 15 Collaborazione uomo-macchina Bilanciare la necessità di automatizzare il lavoro con quella di valorizzare le capacità delle persone Autoconfigurazione e auto-ottimizzazione Un sistema intelligente controlla la propria produzione. Autoconfigurazione e auto- ottimizzazione dei sistemi, fino ad una completa auto-organizzazione Processi intelligenti I sistemi di assistenza aprono nuove possibilità per una efficiente creazione del valore nei processi Machine Learning al servizio di automazione e ottimizzazione
- 16. FRAMEWORKS & AUTOML SERVICES 16
- 17. ONNX 17 Installing ONNX ONNX can be installed from binaries, Docker or source at https://github.com/onnx/onnx Model Zoo It is a collection of pre-trained models for state-of-the-art models in deep learning at https://github.com/onnx/models The Open Neural Network eXchange (ONNX) is an open format to represent deep learning models Frameworks Runtimes
- 18. MIXED REALITY & MACHINE LEARNING SOLUTION 18 Model Evaluation on Cloud Model Evaluation on Device Model Evaluation on Local Network with dedicated hardware
- 19. MOVIDIUS 19 19
- 20. NEURAL COMPUTE STICK 2 ( NCS) 20 Mustang-V100-MX8 Computing Accelerator Card with 8 x Movidius Myriad X MA2485 VPU, PCIe gen2 x4 interface, RoHS UP AI CORE X MiniCard/mPCIe/M.2 form factor. Second-gen Intel Neural Compute Stick
- 21. Intel® Distribution of OpenVINO™ toolkit write once, deploy everywhere software.intel.com/openvino-toolkit Strong Adoption + Rapidly Expanding Capability Agnostic, Complementary to major frameworks Cross-platform flexibility Supports >100 Public Models, incl. 30+ Pretrained Models D E E P L E A R N I N G C O M P U T E R V I S I O N OpenCV* OpenCL™ CV Algorithms Model Optimizer Inference Engine CV Library (Kernel & Graphic APIs) Over 20 Customer Products Launched based on Intel® Distribution of OpenVINO™ toolkit Breadth of vision product portfolio12,000+ Developers High Performance, high Efficiency Optimized media encode/decode functions Optimization NoticeAn open source version is available at 01.org/openvinotoolkit 21
- 22. YOLO 22 Capture Input Images You only look once (YOLO) is an object detection system targeted for real-time processing. Divides the input image into an S×S grid Predicts boundary boxes and class probabilities
- 23. 23
- 24. GRAZIE
- 25. @MatteoValoriani Linkedin: https://it.linkedin.com/in/matteovaloriani GitHub: https://github.com/mvaloriani Blog: http://fifthingenium.com/blog Matteo Valoriani PhD CEO of FifthIngenium matteo.valoriani@fifthingenium.com @AntimoMusone Linkedin: https://it.linkedin.com/in/antimo-musone GitHub: https://github.com/mrcarbook Antimo Musone Senior Manger EY Italia Co-Founder of FifthIngenium antimo.musone@fifthingenium.com antimo.musone@it.ey.com 25
- 26. LINKS & REFERENCES • https://mtaulty.com/2018/03/11/first-experiment-with-image-classification-on-windows-ml-from-uwp/ • https://mtaulty.com/2018/03/29/second-experiment-with-image-classification-on-windows-ml-from-uwp-on-hololens/ • https://mtaulty.com/2018/03/29/third-experiment-with-image-classification-on-windows-ml-from-uwp-on-hololens-in-unity/ • https://elbruno.com/2018/03/15/machinelearning-windows-ml-hello-world-or-how-to-create-and-uwp-app-which-use-a-local-onnx-model/ • https://github.com/mtaulty/WindowsMLExperiment • https://blogs.msdn.microsoft.com/appconsult/2018/11/15/23535/ • https://elbruno.com/2018/04/05/windowsml-create-native-ai-apps-for-hololens-windows10/ • https://meulta.com/en/2018/05/18/experimenting-with-windows-machine-learning-and-mixed-reality/ • https://github.com/Microsoft/mixedreality-azure-samples/tree/master/Standalone-Samples/WindowsML-CustomVision-Hololens • https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/getting-started-build-a-classifier • https://elbruno.com/2018/03/21/winml-gamingml-created-for-windows10-gamers-unity3d-and-hololens-v2-included/ • https://pjreddie.com/darknet/yolo/ • https://gallery.azure.ai/Model/Tiny-YOLOv2 • https://blogs.msdn.microsoft.com/appconsult/2018/05/23/add-a-bit-of-machine-learning-to-your-windows-application-thanks-to-winml/ • https://blogs.msdn.microsoft.com/appconsult/2018/11/06/upgrade-your-winml-application-to-the-latest-bits/ • https://github.com/Microsoft/Windows-AppConsult-Samples-MixedReality/tree/master/HoloLensWinML/Assets/_Scripts • https://github.com/lutzroeder/netron
- 27. 27
- 28. Intel Movidius™ Neural Compute Stick Redefining the AI developer kit 28 Neural network accelerator in USB stick form factor TensorFlow™ and Caffe frameworks supported, along with many popular networks Source is available for the SDK, which allows you to compile for other platforms Features the same Intel Movidius vision processing unit (Intel Movidius VPU) used in drones, surveillance cameras, VR headsets, and other low-power intelligent and autonomous products