Smart Image Sensing System

• doi: 10.1109/ICSENS.2013.6688261
• title: Smart image sensing system
• publisher: IEEE
• isbn: 978-1-4673-4642-9
• issn: 1930-0395
• rank: 3595
• access_type: LOCKED
• content_type: Conferences
• abstract: Vision chips have achieved excellent performance in machine vision applications, but it is insufficient to most industrial applications due to low resolution image sensors and poor image quality. To solve the problems, a smart image sensing system which integrates image sensor and vision chip architecture image processor is proposed. The CMOS image sensor consists of an 800×600 pixel array and two column-parallel ADCs. It is capable of capturing images at 1000 fps. The image processor contains a 64 × 64 processing elements array, 64 row processors, and dual-core RISC. It can exploit data-level parallelism, therefore massively accelerate both low- and middle-level image processing. The proposed image sensing system is successfully applied to various applications like edge detection, motion detection, target tracking at a processing rate of 1000 fps.
• article_number: 6688261
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6688261
• html_url: https://ieeexplore.ieee.org/document/6688261/
• abstract_url: https://ieeexplore.ieee.org/document/6688261/
• publication_title: SENSORS, 2013 IEEE
• conference_location: Baltimore, MD, USA
• conference_dates: 3-6 Nov. 2013
• publication_number: 6679330
• is_number: 6688115
• publication_year: 2013
• publication_date: 3-6 Nov. 2013
• start_page: 1
• end_page: 4
• citing_paper_count: 2
• citing_patent_count: 0
• download_count: 327
• insert_date: 20131219
• index_terms:
  • ieee_terms:
    • Arrays
    • Target tracking
    • Sensors
    • Reduced instruction set computing
    • CMOS image sensors
    • Image processing
  • dynamic_index_terms:
    • Image Processing
    • Low Resolution
    • Image Quality
    • Image Sensor
    • Camera Sensor
    • Edge Detection
    • Motion Detection
    • Motion Sensors
    • Low-resolution Images
    • Target Tracking
    • Machine Vision
    • Visual Navigation
    • High Speed
    • Image Resolution
    • Background Subtraction
    • Tracking Algorithm
    • Binary Code
    • Microphotographs
    • High-speed Imaging
    • Lateral Field
• isbn_formats:
  • format: Electronic ISBN, value: 978-1-4673-4642-9, isbnType: New-2005
• authors:
  • Author Name: Jie Yang
    Affiliation: State Key Laboratory of Superlattices and Microstructures, Chinese Academy of Sciences, Beijing, P. R. China
    Author URL: https://ieeexplore.ieee.org/author/37089545294
    ID: 37089545294
    Order: 1
    Author Affiliations:
    • State Key Laboratory of Superlattices and Microstructures, Chinese Academy of Sciences, Beijing, P. R. China
  • Author Name: Cong Shi
    Affiliation: State Key Laboratory of Superlattices and Microstructures, Chinese Academy of Sciences, Beijing, P. R. China
    Author URL: https://ieeexplore.ieee.org/author/37086359587
    ID: 37086359587
    Order: 2
    Author Affiliations:
    • State Key Laboratory of Superlattices and Microstructures, Chinese Academy of Sciences, Beijing, P. R. China
  • Author Name: Zhongxiang Cao
    Affiliation: State Key Laboratory of Superlattices and Microstructures, Chinese Academy of Sciences, Beijing, P. R. China
    Author URL: https://ieeexplore.ieee.org/author/37086636459
    ID: 37086636459
    Order: 3
    Author Affiliations:
    • State Key Laboratory of Superlattices and Microstructures, Chinese Academy of Sciences, Beijing, P. R. China
  • Author Name: Ye Han
    Affiliation: State Key Laboratory of Superlattices and Microstructures, Chinese Academy of Sciences, Beijing, P. R. China
    Author URL: https://ieeexplore.ieee.org/author/37086634093
    ID: 37086634093
    Order: 4
    Author Affiliations:
    • State Key Laboratory of Superlattices and Microstructures, Chinese Academy of Sciences, Beijing, P. R. China
  • Author Name: Liyuan Liu
    Affiliation: State Key Laboratory of Superlattices and Microstructures, Chinese Academy of Sciences, Beijing, P. R. China
    Author URL: https://ieeexplore.ieee.org/author/37085745851
    ID: 37085745851
    Order: 5
    Author Affiliations:
    • State Key Laboratory of Superlattices and Microstructures, Chinese Academy of Sciences, Beijing, P. R. China
  • Author Name: Nanjian Wu
    Affiliation: State Key Laboratory of Superlattices and Microstructures, Chinese Academy of Sciences, Beijing, P. R. China
    Author URL: https://ieeexplore.ieee.org/author/37286754000
    ID: 37286754000
    Order: 6
    Author Affiliations:
    • State Key Laboratory of Superlattices and Microstructures, Chinese Academy of Sciences, Beijing, P. R. China

Image Sensor

• sensor_type: CMOS
• resolution: 800x600
• 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: 1000 fps
• power_consumption: 420 mW

Applications & Benefits

• cell_imaging: Not specified
• benefits: Allows for high-speed, low-power image processing suitable for applications in industrial automation, including motion detection and target tracking.

Supporting Organizations

• supported_by: State Key Laboratory of Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences

Manuscript Details

• publication_date: 3-6 Nov. 2013

Relevancy Score

• score: 9
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • temporal noise
  • fixed-pattern noise
  • microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

request_4e2e5168-78e4-4903-867d-fcf8d5c9ef47-smart_image_sensing_system.json