here’s the titlecse498/2019-08/schedules/all... · 2019. 9. 23. · the capstone experience team...
TRANSCRIPT
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From Students…
…to Professionals
The Capstone Experience
Project PlanComputer Vision for Furniture Manufacturing
Team Herman MillerSteven Cauthen
Jacob WisniewskiDavid MoraPhilip Wang
Tao Mao
Department of Computer Science and EngineeringMichigan State University
Fall 2019
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Functional Specifications
• Automates verification process after fabrics are glued on to panels
• Assists human inspection
The Capstone Experience Team Herman Miller Project Plan Presentation 2
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Design Specifications
• Raspberry Pi on assembly line
▪ Scans barcode
▪ Takes image
▪ Uploads image to AWS for classification
• AWS
▪ Sends classification scores to interface
• Web interface
▪ Displays verification results
The Capstone Experience Team Herman Miller Project Plan Presentation 3
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Screen Mockup: Correctly Classified
The Capstone Experience 4Team Herman Miller Project Plan Presentation
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Screen Mockup: Incorrect Label
The Capstone Experience 5Team Herman Miller Project Plan Presentation
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Screen Mockup: Low Confidence
The Capstone Experience 6Team Herman Miller Project Plan Presentation
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Screen Mockup: Correctly Classified
The Capstone Experience 7Team Herman Miller Project Plan Presentation
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System Architecture
The Capstone Experience Team Herman Miller Project Plan Presentation 8
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Technical Specifications
• Raspberry Pi
• AWS
• SQL
• Python
• TensorFlow
• Flask
The Capstone Experience Team Herman Miller Project Plan Presentation 9
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System Components
• Hardware Platforms
▪ Raspberry Pi
▪ Raspberry Pi Camera Module
▪ Barcode Scanner
• Software Platforms / Technologies
▪ Git
▪ AWS
▪ SQL Management Studio
▪ Flask
The Capstone Experience Team Herman Miller Project Plan Presentation 10
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Risks
• Lighting▪ Risk: Moderate▪ Difficulty: Moderate▪ Getting lighting consistent on factory images to correctly detect color▪ Research lights for computer vision system and purchase it
• AWS▪ Risk: Moderate▪ Difficulty: Moderate▪ We do not have adequate AWS knowledge▪ Learn AWS tools and services, like SageMaker, Lambda, and API Gateway
• Verification Speed▪ Risk: Low▪ Difficulty: Low▪ How long a fabric image takes to get classified▪ Optimize machine learning model
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Questions?
The Capstone Experience Team Herman Miller Project Plan Presentation 12
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