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 the most attention. Designed 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 judgments 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.
List of Topics
- Development of 3G vision technology, toughing on three major 3D vision sensing technologies: stereo vision, structured light, and time of flight
- 3D vision in manufacturing, touching on its importance, needs, and applications for 3D vision sensors in the areas of driverless transport systems, random bin picking, and quality control in production lines
- 3D vision sensing supply chain, comprising of suppliers of key components such as infrared receiver module, VCSEL components, image processing ICs, optical lens, and CMOS; suppliers of modules, software solutions, and application equipment such as automated vehicles, autonomous mobile robots, robotic arms, and inspection equipment, are included
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. Author's Perspective
Appendix
List of Companies
List of Tables
Table 1 Comparison of 3D Vision Sensing Technologies
Table 2 Major International Players’ Development of Smart 3D Vision Sensing for Manufacturing Applications
List of Figures
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
Samples
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Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- ABB
- ADLink
- Advantech
- Aethon
- AMS
- Asia Optical
- Aubo
- AutoGuide
- AWSC
- Banner Engineering
- Basler
- Bastian
- BenQ Guru
- Camtek
- Chiaro Technologies
- Chipbond
- Chroma
- Cogex
- Compal
- Covariant
- Daifuku
- Datalogic
- DataRobot
- Delta
- Dematic
- Denso
- Doosan
- Elettric80
- Elite Advanced Laser
- EnShape
- Epson
- Etron Technology
- Fanuc
- Fetch
- Foxconn
- Genius Electronic Optical
- GPM
- Green Fast
- GVI Ventures
- Himax Technologies
- HLJ Technology
- Honeywell Intelligrated
- Huawei
- Intel
- ITRI
- Kawasaki
- Kenmec
- Keyence
- Kinko Optical
- Kneron
- KohYoung
- KUKA
- Largan
- LIPS Corp.
- LMI Technologies
- Lucid
- Lumentum
- Mecademic
- Micro-Epsilon
- MiR
- Mirle Automation
- Mitsubishi
- Movidius
- Muratec
- MVTec
- Nachi
- National Instrument
- Newmax
- NUB3D
- OmnVision
- Omron
- Onto Innovation
- Orbotech
- OTC
- Pixart
- Qisda
- Real Sense
- Rockwell Automation
- Rudolph Technologies
- Saki
- Schaefer
- Schneider
- Screen
- Sharp
- SICK
- Siemens
- Solomon
- Sony
- SSI
- ST Engineering
- Staubli
- STMicroelectronics
- Sunny Optical
- Swisslog
- System Logistics
- Techman Robot
- TECO
- Teledyne
- Teradyne
- TIRC
- Tong Hsing Electronics
- Topcon
- Toshiba
- TrueLight
- TSMC
- Universal Robots
- Vanderlande
- Vicarious
- ViDi
- Viewworks
- Visionatics
- Win Semiconductor
- Xintec
- Yamaha
- Yaskawa
- Zeiss
Methodology
Primary research with a holistic, cross-domain approach
The exhaustive primary research methods are central to the value that the analyst delivers. A combination of questionnaires and on-site visits to the major manufacturers provides a first view of the latest data and trends. Information is subsequently validated by interviews with the manufacturers' suppliers and customers, covering a holistic industry value chain. This process is backed up by a cross-domain team-based approach, creating an interlaced network across numerous interrelated components and system-level devices to ensure statistical integrity and provide in-depth insight.
Complementing primary research is a running database and secondary research of industry and market information. Dedicated research into the macro-environmental trends shaping the ICT industry also allows the analyst to forecast future development trends and generate foresight perspectives. With more than 20 years of experience and endeavors in research, the methods and methodologies include:
Method
- Component supplier interviews
- System supplier interviews
- User interviews
- Channel interviews
- IPO interviews
- Focus groups
- Consumer surveys
- Production databases
- Financial data
- Custom databases
Methodology
- Technology forecasting and assessment
- Product assessment and selection
- Product life cycles
- Added value analysis
- Market trends
- Scenario analysis
- Competitor analysis
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