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Related Concept Videos

Semiconductors01:22

Semiconductors

There is variation in the electrical conductivity of materials - metals, semiconductors, and insulators that are showcased with the help of the energy band diagrams.
Metals such as copper (Cu), zinc (Zn), or lead (Pb) have low resistivity and feature conduction bands that are either not fully occupied or overlap with the valence band, making a bandgap non-existent. This allows electrons in the highest energy levels of the valence band to easily transition to the conduction band upon gaining...

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Rapid Subtractive Patterning of Live Cell Layers with a Microfluidic Probe
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Efficient smart CMOS camera based on FPGAs oriented to embedded image processing.

Ignacio Bravo1, Javier Baliñas, Alfredo Gardel

  • 1Electronics Department, University of Alcala, Alcala de Henares, Madrid 28871, Spain. ibravo@depeca.uah.es

Sensors (Basel, Switzerland)
|December 14, 2011
PubMed
Summary
This summary is machine-generated.

This study presents an intelligent camera system using a high-speed Complementary Metal Oxide Semiconductor (CMOS) sensor and a Field Programmable Gate Array (FPGA) for advanced image processing. The system enables remote configuration and visualization of captured and processed images.

Keywords:
CMOS sensorEthernetFPGAintelligent camera

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Area of Science:

  • Engineering
  • Computer Science
  • Image Processing

Background:

  • Traditional image processing systems often lack flexibility.
  • Integrating microprocessors into reconfigurable devices offers new possibilities for complex tasks.

Purpose of the Study:

  • To describe an intelligent ad-hoc camera system for advanced image processing.
  • To demonstrate the integration of a CMOS sensor and FPGA with a microprocessor.

Main Methods:

  • Utilized a high-speed 1.2-megapixel CMOS sensor.
  • Employed a Xilinx XC4VFX12 FPGA with an integrated Power PC microprocessor.
  • Developed a standalone system for hardware management and image processing software options.
  • Incorporated an Ethernet channel for remote data transmission.

Main Results:

  • The FPGA controlled sensor parameters and processed images.
  • The integrated microprocessor handled sequential tasks, enhancing processing capabilities.
  • The system allowed remote visualization and configuration of camera operations and images.

Conclusions:

  • The developed system offers a flexible and versatile platform for intelligent image processing.
  • Integration of FPGA and microprocessor enables sophisticated, adaptable image analysis.
  • Remote access capabilities enhance usability and control for various applications.