Details

The given work is devoted to develop Fiber Optic Micro-Displacement Sensor Array Interrogation System Based on Digital Camera. The system consists of an array of micro-displacement fiber optic sensors (3*3), a digital camera and a laptop computer (data processing). It can accurately collect and process the light intensity changes of the sensor through Python control. The collected light channel value changes (RGB) are intuitively displayed in 3D images. The system can support the simultaneous measurement of up to 100 optical fibers.

• ABSTRACT
• CONTENTS
• INTRODUCTION
• CHAPTER 1. LITERATURE REVIEW
  • 1.1. The operation principle of optical fibers
  • 1.2. Fiber classification
  • 1.3. What are fiber optic sensors
  • 1.4. Classification of fiber optic sensors
    • 1.4.1. Inherent optical sensors
    • 1.4.2. External optical fiber sensor
    • 1.4.3. Strength-based optical fiber sensors
    • 1.4.4. Wavelength modulated optical fiber sensor
    • 1.4.5. Phase modulated optical fiber sensor
    • 1.4.6. Polarization modulated optical fiber sensor
  • 1.5. Types of interrogation techniques of fiber op
    • 1.5.1. Spectral demodulation
    • 1.5.2. Strength demodulation
    • 1.5.3. Other types
  • 1.6. Different methods of intensity detection of o
  • 1.7. Examples and applications of fiber optic sens
    • 1.7.1. Micro bending loss type strength detection
    • 1.7.2. Reflective intensity detection method
    • 1.7.3. Absorption spectroscopy intensity detection
    • 1.7.4. Thermal optical effect and piezoresistive i
      • 1.7.4.1. Temperature sensing: Thermal optical effe
      • 1.7.4.2. Pressure sensing: Removable membrane and
  • 1.8. Examples of using digital camera for interrog
  • 1.9. Working Principle and Characteristics of Digi
• CHAPTER 2. EXPERIMENTAL PREPARATION
  • 2.1. Aim and Objectives
  • 2.2. Material
  • 2.3. The system code to control the camera and its
    • 2.3.1. Camera initialization and configuration mod
    • 2.3.2. Multi-threaded frame capture mechanism
    • 2.3.3. Brightness area detection algorithm
      • 2.3.3.1. Preprocessing process
      • 2.3.3.2. Profile detection and screening
    • 2.3.4. Interactive visualization system
    • 2.3.5. 3d visualization analysis
      • 2.3.5.1. Intensity mapping model
      • 2.3.5.2. Real-time update mechanism
    • 2.3.6. Performance optimization strategy
      • 2.3.6.1. Achieve the highest 60 frame rate control
      • 2.3.6.2. Resource management
• CHAPTER 3. EXPERIMENT
  • 3.1. Preparation of experimental equipment
  • 3.2. Finding gamma correction value
    • 3.2.1. Why do we need to perform gamma correction
    • 3.1.2. Finding gamma values and fitting curves
  • 3.2. Interrogation array micro displacement fiber
• CHAPTER 4. CONCLUSION
  • 4.1. Conclusion of work in this article
  • 4.2. Future Work
• REFERENCE