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MT9T001 - FPGA smart camera

Download the MT9T001 datasheet PDF. This datasheet also covers the MT9V034 variant, as both devices belong to the same fpga smart camera family and are provided as variant models within a single manufacturer datasheet.

Key Features

  • if he wishes so. The true power of FPGA (Field-Programmable Gate Array) over the sequential microprocessor is a pipelined parallel data processing. Parallelism reduces system clock and power consumption considerably while boosting processing power. With the latest set of tools from Xilinx (System Generator and Accel DSP) you can rapidly develop DSP algorithms even in MathWorks Matlab (example included). Key camera features:.
  • Industrial vision proven CMOS Aptina sensors from VGA to 3 meg.

📥 Download Datasheet

Note: The manufacturer provides a single datasheet file (MT9V034_Optomotive.pdf) that lists specifications for multiple related part numbers.

Datasheet Details

Part number MT9T001
Manufacturer Optomotive
File Size Direct Link
Description FPGA smart camera
Datasheet download datasheet MT9T001 Datasheet

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Full PDF Text Transcription (Reference)

The following content is an automatically extracted verbatim text from the original manufacturer datasheet and is provided for reference purposes only.

View original datasheet text
cameleon FPGA smart camera family Product Brief v1.0 Cameleon is an innovative USB2.0 camera based on FPGA system-on-chip (SOC) technology. The camera with a powerful HSDK (hardware-software development kit) opens ways for rapid customization and integration of various digital systems into camera itself. The camera is a ready made solution, but still open for a user to add his own features if he wishes so. The true power of FPGA (Field-Programmable Gate Array) over the sequential microprocessor is a pipelined parallel data processing. Parallelism reduces system clock and power consumption considerably while boosting processing power. With the latest set of tools from Xilinx (System Generator and Accel DSP) you can rapidly develop DSP algorithms even in MathWorks Matlab (example included).