Design Of Camera Pantilt System For Underwater Detection Robot Based On
Dualaxis Motion
- doi: 10.1109/ICIPCA61593.2024.10709280
-
title: Design of Camera Pan-Tilt System for Underwater
Detection Robot Based on Dual-Axis Motion
- publisher: IEEE
- isbn: 979-8-3503-8416-1
- issn:
- rank: 2149
- access_type: LOCKED
- content_type: Conferences
-
abstract: In this paper, the key role of camera robot
in underwater exploration is discussed, and a two-axis motion frame
system is designed. The core of the system is its highly integrated
hardware architecture and intelligent software algorithms, aiming to
improve the efficiency and quality of underwater image acquisition. In
the aspect of hardware design, the STM32 microcontroller with high
performance is selected as the Brain Center, which is responsible for
the unified scheduling of various functional modules. CMOS industrial
camera serves as image acquisition unit, its excellent low-light
performance and rapid response to ensure that the underwater
environment, clear and stable image acquisition. With the introduction
of stepping motor, the translation and tilt of the camera platform can
be controlled accurately, so that the camera can rotate flexibly in the
horizontal and vertical directions to meet different detection
requirements. In order to ensure the stable operation of the system
under extreme underwater conditions, the optimization of PTZ
(Pan-Tilt-Zoom-RRB-control circuit and the integration of temperature
and humidity sensors are especially emphasized in hardware circuit
design, these measures effectively guarantee the reliability of the
equipment. At the same time, the intelligent control mechanism of output
power also ensures the efficient use of energy. In the structural
design, all the joints are equipped with precision seals to prevent
seawater intrusion, further enhancing the waterproof performance of the
equipment. On the software level, the system adopts the advanced
orthogonal iteration algorithm to optimize the image acquisition
process. This algorithm can adjust camera parameters through iterative
calculation in complex underwater environment, so as to achieve the best
image stabilization effect. The experimental results show that the
camera robot works well in the turbulent region, and has many advantages
such as multi-angle rotation, precise positioning and real-time
transmission. In addition, its compact structure, high reliability and
high protection accuracy make it an ideal tool in the field of
underwater exploration.
- article_number: 10709280
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10709280
-
html_url:
https://ieeexplore.ieee.org/document/10709280/
-
abstract_url:
https://ieeexplore.ieee.org/document/10709280/
-
publication_title: 2024 IEEE 2nd International
Conference on Image Processing and Computer Applications (ICIPCA)
- conference_location: Shenyang, China
- conference_dates: 28-30 June 2024
- publication_number: 10708964
- is_number: 10708775
- publication_year: 2024
- publication_date: 28-30 June 2024
- start_page: 2017
- end_page: 2020
- citing_paper_count: 0
- citing_patent_count: 0
- download_count: 55
- insert_date: 20241015
-
index_terms:
-
ieee_terms:
- Temperature sensors
- Temperature measurement
- Robot vision systems
- Software algorithms
- Seals
- Cameras
- Hardware
- Software
- Real-time systems
- Protection
-
author_terms:
- Underwater dual-axis gimbal
- STM32
- CMOS image sensor
- Orthogonal Iterative Algorithm
-
dynamic_index_terms:
- Underwater Detection
- Image Acquisition
- Compact Structure
- Dense Structure
- Energy Use
- Circuit Design
- Humidity Sensor
- Undersea
- Underwater Environment
- Tool In The Field
- Core System
- Seawater Intrusion
- Saltwater Intrusion
- Salinity Intrusion
- Reliable Accuracy
- Real-time Transmission
- Turbulent Region
- Hardware Circuit
- Field Of View
- Motor Control
- Rotational Speed
- Rotation Rate
- Control Signal
- Control Mode
- Low Power Consumption
- Unmanned Underwater Vehicles
- Underwater Robots
- Automatic Tracking
- Host Computer
- Control Chip
- Humidity Values
- Position Estimation
- Attitude Estimation
- Target Tracking
- Real-time Signal
- Communication Protocol
- Network Protocol
- Transmission Protocol
- Filming
- Cinematography
- Celluloid
-
isbn_formats:
-
format: Print on Demand(PoD) ISBN,
value: 979-8-3503-8416-1,
isbnType: New-2005
-
format: Electronic ISBN,
value: 979-8-3503-6024-0,
isbnType: New-2005
-
authors:
-
Author Name: Chaohui Gai
Affiliation: Wuhan Vocational College of Software
and Engineering, Wuhan, China
Author URL:
https://ieeexplore.ieee.org/author/37087999597
ID: 37087999597
Order: 1
Author Affiliations:
-
Wuhan Vocational College of Software and Engineering, Wuhan,
China
-
Author Name: Zeyu Xu
Affiliation: School of Mechanical and Electrical
Engineering, Wuhan Institute of Technology, Wuhan, China
Author URL:
https://ieeexplore.ieee.org/author/37089417256
ID: 37089417256
Order: 2
Author Affiliations:
-
School of Mechanical and Electrical Engineering, Wuhan Institute
of Technology, Wuhan, China
-
Author Name: Chenggang Wang
Affiliation: School of Mechanical and Electrical
Engineering, Wuhan Institute of Technology, Wuhan, China
Author URL:
https://ieeexplore.ieee.org/author/37085355907
ID: 37085355907
Order: 3
Author Affiliations:
-
School of Mechanical and Electrical Engineering, Wuhan Institute
of Technology, Wuhan, China
-
Author Name: Zeyu Gao
Affiliation: School of Mechanical and Electrical
Engineering, Wuhan Institute of Technology, Wuhan, China
Author URL:
https://ieeexplore.ieee.org/author/37088473741
ID: 37088473741
Order: 4
Author Affiliations:
-
School of Mechanical and Electrical Engineering, Wuhan Institute
of Technology, Wuhan, China
-
Author Name: Qianyu Shi
Affiliation: University of International Business
and Economics, Beijing, China
Author URL:
https://ieeexplore.ieee.org/author/950753572195747
ID: 950753572195747
Order: 5
Author Affiliations:
-
University of International Business and Economics, Beijing,
China
Image Sensor
- sensor_type: CMOS
- resolution: 1080P
- dynamic_range: Not specified in the paper
- pixel_size: Not specified in the paper
- dark_current: Not specified in the paper
Optical Data
- focal_length: Not specified in the paper
- aperture: Not specified in the paper
- field_of_view: Not specified in the paper
- distortion: Not specified in the paper
Performance Metrics
- frame_rate: Not specified in the paper
-
signal_to_noise_ratio: Not specified in the paper
- sensitivity: Not specified in the paper
- shutter_speed: Not specified in the paper
- power_consumption: Not specified in the paper
- noise: Not specified in the paper
Applications & Benefits
-
cell_imaging: The paper mentions underwater image
acquisition and tracking but does not provide specifics on cell imaging
applications.
-
benefits: The CMOS industrial camera is noted for its
excellent low-light performance and rapid response, ensuring clear and
stable image acquisition.
Supporting Organizations
-
supported_by: Wuhan Vocational College of Software and
Engineering, Wuhan Institute of Technology, University of International
Business and Economics
Manuscript Details
- publication_date: 28-30 June 2024
Relevancy Score
- score: 8
-
missing_fields:
- dynamic_range
- power_consumption
- pixel_size
- dark_current
- focal_length
- aperture
- field_of_view
- distortion
- frame_rate
- signal_to_noise_ratio
- sensitivity
- shutter_speed
- noise
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