3D Vision Sensing in Manufacturing: Applications and Supply Chains (pre-order)
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TABLE OF CONTENTS
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DESCRIPTION
The Industry 4.0 trends have pushed many automated manufacturing systems and equipment to move forward. Among them, the development of 3D vision sensing has attracted most attention. Designed to for increasingly sophisticated human-machine collaboration scenarios, 3D vision sensing simulates human eyes using optical technology to identify different objects in complicated environments. The combination of AI and 3D vision sensors endows machines with the ability to think and make judgements like a human brain and then make decisions based on the situation. This report analyzes the development of 3D vision sensing in recent years; looks into manufacturers’ application needs and their supply chains; and examines the future trends of 3D vision sensing
TABLE OF CONTENTS
1.Current Status of 3D Vision Technology
1.1 Definition of 3D Vision Sensing
1.2 Major 3D Vision Sensing by Technology
1.2.1 Stereo Vision
1.2.2 Structured Light
1.2.3 Time of Flight
1.3 Importance of 3D Vision Sensing to the Manufacturing Industry
2. Manufacturers’ Application Needs for 3D Vision Sensors
2.1 Comparison of 2D and 3D Vision Sensing in Manufacturing Applications
2.2 Combines AI to Endow 3D Vision Sensing with Learning Abilities for More Benefits
3. Manufacturing Applications of Smart 3D Vision Sensing
3.1 Driverless Transport Systems
3.2 Random Bin Picking
3.3 Quality Control in Production Lines
4. 3D Vision Sensing Supply Chain
4.1 Deployment of Major International Players
4.2 Taiwanese Vendors’ Development Focuses
5. MIC Perspective
Appendix
List of Companies
Table 1 Comparison of 3D Vision Sensing Technologies
Table 2 Major International Players’ Development of Smart 3D Vision Sensing for Manufacturing Applications
Figure 1 Theory of Stereo Vision
Figure 2 Theory of Structured Light
Figure 3 Theory of Time of Flight
Figure 4 Major Manufacturing Applications of 2D Vision Sensing
Figure 5 Major Manufacturing Applications of 3D Vision Sensing
Figure 6 Theory and Manufacturing Applications of Driverless Transport Systems
Figure 7 Theory and Manufacturing Applications of Random Bin Picking
Figure 8 Combination of 3D Vision Sensing and AI for Quality Control Applications
Figure 9 Worldwide 3D Vision Sensing Industry Chain
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