Global 3D Vision Sensing in Manufacturing Applications and Supply Chains Report 2020
Dublin, Nov. 26, 2020 (GLOBE NEWSWIRE) -- The "3D Vision Sensing in Manufacturing: Applications and Supply Chains " report has been added to ResearchAndMarkets.com's offering.
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
Key Topics Covered:
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
Companies Mentioned
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
Google
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
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