Development Of An Embedded Industrial Vision System
- doi: 10.1109/ICIEA.2006.257324
-
title: Development of an Embedded Industrial Vision
System
- publisher: IEEE
- isbn: 0-7803-9514-X
- issn:
- rank: 2261
- access_type: LOCKED
- content_type: Conferences
-
abstract: A kind of remote vision system based on
embedded technology was designed, which can transmit the picture data on
Ethernet, being free from the distance restrict, needless repeated
wiring and not easily be interfered by other parts of computer system.
The software and hardware design of vision system consisting of CMOS
image sensors, ARM microprocessor and embedded OS are introduced.
Modularizations of hardware compatible to the standard I2C bus, detailed
instruction of embedded processor and image sensor, and realization of
application programs are emphasized. Further, this paper focused on
discussing the design of hardware part including high-speed ARM S3C4510B
processor, image sensor module and image buffering control module.
Driver of uClinux, image collecting, image compressing, network
communication program are also analyzed. Finally, it used electronic
design automatic software to simulate two system processes in order to
verify the design. A testing board is built and fundamental experiments
are operated, which indicate that this design has great performance in
industrial application
- article_number: 4025925
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4025925
-
html_url:
https://ieeexplore.ieee.org/document/4025925/
-
abstract_url:
https://ieeexplore.ieee.org/document/4025925/
-
publication_title: 2006 1ST IEEE Conference on
Industrial Electronics and Applications
- conference_location: Singapore
- conference_dates: 24-26 May 2006
- publication_number: 4025693
- is_number: 4025694
- publication_year: 2006
- publication_date: 24-26 May 2006
- start_page: 1
- end_page: 4
- citing_paper_count: 1
- citing_patent_count: 0
- download_count: 216
- insert_date: 20061211
-
index_terms:
-
ieee_terms:
- Machine vision
- Hardware
- Software design
- Image sensors
- Application software
- CMOS technology
- Ethernet networks
- Wiring
- Computer vision
- Embedded computing
-
dynamic_index_terms:
- Visual System
- Industrial Systems
- Design Software
- Packaging Design
- Image Sensor
- Camera Sensor
- Ethernet
- ARM Processor
- Advanced RISC Machine
- Test Board
- Image Processing
- Imaging Data
- Operating System
- High Voltage
- Higher Tendency
- Simulation Software
- Simulation Package
- Processing Unit
- Flow Control
- Digital Video
- Data Frame
- Digital Signal Processing
- Memory Control
- Control Logic
- Imaging Buffer
- Peripheral Circuits
- Image Data Collection
-
isbn_formats:
-
format: CD, value: 0-7803-9514-X,
isbnType: Historical
-
format: Print ISBN,
value: 0-7803-9513-1,
isbnType: Historical
-
authors:
-
Author Name: Meicheng Chen
Affiliation: Department of Automation, Wuhan
University of China, Wuhan, China
Author URL:
https://ieeexplore.ieee.org/author/37836190500
ID: 37836190500
Order: 1
Author Affiliations:
-
Department of Automation, Wuhan University of China, Wuhan,
China
-
Author Name: Bo Xi
Affiliation: Department of Automation, Wuhan
University of China, Wuhan, China
Author URL:
https://ieeexplore.ieee.org/author/37297116300
ID: 37297116300
Order: 2
Author Affiliations:
-
Department of Automation, Wuhan University of China, Wuhan,
China
-
Author Name: Yanjun Fang
Affiliation: Department of Automation, Wuhan
University of China, Wuhan, China
Author URL:
https://ieeexplore.ieee.org/author/37281337300
ID: 37281337300
Order: 3
Author Affiliations:
-
Department of Automation, Wuhan University of China, Wuhan,
China
-
Author Name: Dahai Zhang
Affiliation: Department of Automation, Wuhan
University of China, Wuhan, China
Author URL:
https://ieeexplore.ieee.org/author/37715153700
ID: 37715153700
Order: 4
Author Affiliations:
-
Department of Automation, Wuhan University of China, Wuhan,
China
Image Sensor
- sensor_type: CMOS
- resolution: 664x492 pixels
- 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
- frame_rate: 20 frames per second
Applications & Benefits
-
cell_imaging: Used for visual inspection of products
and pattern recognition in industrial applications.
-
benefits: Improves efficiency, effectiveness, and
productivity in manufacturing automation.
Supporting Organizations
- supported_by: Samsung Electronics, OmniVision
Manuscript Details
- publication_date: 24-26 May 2006
Relevancy Score
- score: 8
-
missing_fields:
- dynamic_range
- pixel_size
- dark_current
- focal_length
- aperture
- field_of_view
- distortion
- signal_to_noise_ratio
- sensitivity
- shutter_speed
- power_consumption
- noise
Processed JSON Filename
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