Bionic Gecko Based On Intelligent Recognition Technology

• doi: 10.1109/ICDSCA56264.2022.9988130
• title: Bionic gecko based on intelligent recognition technology
• publisher: IEEE
• isbn: 978-1-6654-7201-2
• issn:
• rank: 1731
• access_type: LOCKED
• content_type: Conferences
• abstract: In nature, every living creature has its unique form, imitating the form, structure and function of biological control theory, can design centralized and efficient mechanical and biological performance. This paper designs a bionic gecko that moves on the wall surface. The bionic gecko adopts the attachment mode of vacuum adsorption, so that it can flexibly complete continuous movement on the wall surface and has good robustness. In view of the difference between the bionic gecko system's motion characteristics on the wall and the ground due to the influence of gravity, this paper carries out quantitative statics and hydrodynamics analysis on the bionic gecko, and the conclusion can provide effective guidance for the mechanical structure design of the bionic gecko. Bionic gecko is mainly used in wall surface defect detection. Machine vision technology combined with deep learning and image processing technology are adopted. With the above computer as the core, the bionic gecko can effectively identify wall surface defects, judge defect types and accurately locate them, and realize wall state feedback. The defect detection module and communication module collect the detection image and video results by CMOS sensor camera and send them back to the host computer. The upper computer module processed and analyzed the image data to obtain the results of cracks and defects. Meanwhile, the collected pavement image data was imported into the database for preservation, and then the feedback detection data was processed and analyzed, so as to generate the corresponding maintenance plan and carry out statistical analysis, which was convenient for professionals to repair later.
• article_number: 9988130
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9988130
• html_url: https://ieeexplore.ieee.org/document/9988130/
• abstract_url: https://ieeexplore.ieee.org/document/9988130/
• publication_title: 2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)
• conference_location: Dalian, China
• conference_dates: 28-30 Oct. 2022
• publication_number: 9987722
• is_number: 9987731
• publication_year: 2022
• publication_date: 28-30 Oct. 2022
• start_page: 655
• end_page: 662
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 98
• insert_date: 20221229
• index_terms:
  • ieee_terms:
    • Deep learning
    • State feedback
    • Statistical analysis
    • Machine vision
    • Maintenance engineering
    • Hydrodynamics
    • Biology
  • author_terms:
    • Bionic gecko
    • Vacuum adsorption
    • Wall surface defect detection
    • Machine vision technology
    • CMOS sensor
  • dynamic_index_terms:
    • Deep Learning
    • Image Processing
    • Types Of Defects
    • Fault Types
    • Wall Surface
    • Deep Processing
    • Deep Image
    • Maintenance Planning
    • Influence Of Gravity
    • Image Processing Technology
    • Image-processing Technology
    • Deep Learning Processing
    • Image Analysis
    • Convolutional Neural Network
    • Van Der Waals Interactions
    • Center Of Mass
    • Center-of-mass
    • Center Of Gravity
    • Project Team
    • Vacuum Pump
    • Motion Analysis
    • Bristles
    • Coordinate Origin
    • Digital Image Processing
    • Image Optimization
    • Boundary Extraction
    • Computer Image Processing
    • Foot Sole
    • Soles Of The Feet
    • Digital Image Analysis
    • Stable Movement
    • Pump Flow Rate
    • Civilian Fields
    • Traditional Robots
    • Perfect Fluid
    • Perfect Fluids
    • Ideal Fluid
    • Pumping Rate
    • Flexible Movement
    • Backward Movement
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-6654-7201-2, isbnType: New-2005
  • format: USB ISBN, value: 978-1-6654-7199-2, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-6654-7200-5, isbnType: New-2005
• authors:
  • Author Name: Haonan Song
    Affiliation: School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan, China
    Author URL: https://ieeexplore.ieee.org/author/37089667153
    ID: 37089667153
    Order: 1
    Author Affiliations:
    • School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan, China

Image Sensor

• sensor_type: CMOS
• resolution: VGA (640x480, assumed based on context)
• dynamic_range: Not specified
• pixel_size: Not specified
• dark_current: Not specified

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

Applications & Benefits

• cell_imaging: Not specifically mentioned; focuses on wall surface defect detection and structural analysis.
• benefits: Enables effective identification of wall surface defects using image processing technology.

Supporting Organizations

• supported_by: Not specified

Manuscript Details

• publication_date: 28-30 Oct. 2022

Relevancy Score

• score: 8
• missing_fields:
  • dynamic_range
  • pixel_size
  • dark_current
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise
  • focal_length
  • aperture
  • field_of_view
  • distortion

Processed JSON Filename

request_d88af8af-1a51-4d88-ac22-655ea5612847-bionic_gecko_based_on_intelligent_recognition_technology.json