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AIoT時代における3Dセンシング技術の応用

Application of 3D Sensing Technology in Era of AIOT

発行 MIC - Market Intelligence & Consulting Institute 商品コード 649242
出版日 ページ情報 英文 31 Pages
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AIoT時代における3Dセンシング技術の応用 Application of 3D Sensing Technology in Era of AIOT
出版日: 2018年06月06日 ページ情報: 英文 31 Pages
概要

AIoTとは、AI (人工知能) とIoT (モノのインターネット) を組み合わせた技術、またはその技術を使用した製品のことを指します。

当レポートでは、3Dセンシング技術について調査分析し、次世代のIoTにおけるその潜在応用について、体系的な情報を提供しています。

第1章 3Dセンシング技術の開発

  • 3Dセンシングの定義
  • 3Dセンシングの主要技術
    • 構造化光
    • ToF
    • ステレオビジョン

第2章 3Dセンシングの応用

  • 応用1:顔認識
  • 応用2:ジェスチャー制御
  • 応用3:スマート車両
  • 応用4:産業用ロボット

第3章 結論

付録

用語集

企業リスト

目次
Product Code: DCRPT18060601

3D sensing technology mimics the human-visual system using optical technology, which allows products integrated with AI (Artificial Intelligence) and IoT (Internet of Things) technologies to have 3D computer vision. Besides improving facial recognition accuracy and human-machine interaction via hand movements, 3D sensing technology also speeds up the pace of Level 5 autonomous vehicle developments. With this technology, industrial robots can perform complicated tasks such as 3D picking or product quality inspection. This report looks into 3D sensing technology and its potential applications in the next generation of IoT (Internet of Things).

Table of Contents

1. Development of 3D Sensing Technology

  • 1.1. Definition of 3D Sensing
  • 1.2. Key 3D Sensing Technologies
    • 1.1.1. Structured Light
    • 1.1.2. TOF (Time of Flight)
    • 1.1.3. Stereo Vision

2. Applications of 3D Sensing

  • 2.1. Application #1: Facial Recognition
    • 2.1.1. Bezel-less Smartphone Trend Drives 3D Facial Recognition Development
    • 2.1.2. Structured Light Technology Suitable for 3D Facial Recognition with Fast, Accurate, and Excellent Short-range Measurement
    • 2.1.3. 3D Facial Recognition-enabled Smartphones to Accelerate Mobile Financial Service Applications
  • 2.2. Application #2: Gesture Control
    • 2.2.1. AR/VR with Intuitive Gesture Control Enhances Immersive Experience
    • 2.2.2. Google Creates 3D Gesture Control Ecosystem with Project Soli
  • 2.3. Application #3: Smart Vehicles
    • 2.3.1. 3D Environment Sensing as First Step to Autonomous Security and Driving for Smart Vehicles
    • 2.3.2. ADAS Regulations to Boost Camera and Radar Demand; Solid-static LiDar Market to Thrive
    • 2.3.3. Vehicle Camera as Standards Equipment
    • 2.3.4. Long-range 77GHz mmWave Radar as Focal Development
    • 2.3.5. LiDAR towards Mass Production, Accelerating Realization of L3 Autonomy
  • 2.4. Application #4: Industrial Robots
    • 2.4.1. Robotic Arms with 3D Computer Vision Enable Randomly Picking of Parts and Quality Check
    • 2.4.2. Mobile Robotic Arms with 3D Sensing Optimizes Human-machine Collaboration and Near-field Navigation

3. Conclusion

  • 3.1. 3D Sensing Technology Endows AI + IoT Products with Vision, Smarting Up Human-Machine Collaboration
  • 3.2. UI with 3D Facial Recognition Enhances User Experience and Drives Innovative Fintech Services
  • 3.3. Gesture Control Enables Intuitive Human-Machine Interaction and More Immersive VR Experience
  • 3.4. Demand for Solid-state LiDAR to Rise
  • 3.5. Industrial Robots with 3D Computer Vision Make Unmanned Factories a Reality
  • Appendix
  • Glossary of Terms
  • List of Companies

List of Topics

  • Development of 3D sensing technology, touching on its definition and key technologies
  • Applications of 3D sensing for use in four areas such as facial recognition, gesture control, smart vehicles, and industrial robots with examples given

List of Figures

  • Figure 1: 3D Image Created by LiDAR in Smart Vehicle
  • Figure 2: Three Key 3D Sensing Technologies
  • Figure 3: Applications of 3D Sensing Technology at CES 2018
  • Figure 4: Evolution of Identification Technology in Smartphones
  • Figure 5: Facial Recognition Process of Apple's Face ID
  • Figure 6: Online Banking Services Using Facial Recognition
  • Figure 7: Evolution of AR/VR HMI
  • Figure 8: Applications of Gesture Control using Google's Project Soli
  • Figure 9: Autonomous Driving Levels
  • Figure 10: 3D Sensors of Smart Vehicles
  • Figure 11: Automated Production Lines with 3D Sensing

List of Tables

  • Table 1: Pros and Cons of Key 3D Sensing Technologies
  • Table 2: Application of 3D Sensors in ADAS
  • Table 3: Comparison of MMIC Process Technologies
  • Table 4: Types of LiDAR Systems

Companies covered

Amazon, Apple, Continental, Google, Infineon, Innoluce, Intel RealSense, Leap Motion, Microsoft, Nintendo, NXP, Oppo, Pingan, PrimeSense, Quanergy, Samsung, Sensory, Sony, STMicro, Tenzr, TI, uSens, Velodyne, WeBank, Xiaomi.

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