Embedded Vision Camera Modules

Description

Models with a BCON for MIPI interface have been added to the dart camera module series. This innovative product concept combines the established MIPI CSI-2 interface from the embedded arena with the high camera standards and the typical long-term availability of the machine vision industry.

 

The dart camera modules with BCON for MIPI interface are well positioned to fully harness the ISP of select embedded platforms in the Qualcomm Snapdragon extended life product portfolio on a Linux Open Embedded operating system (Linaro). Basler supplies not only a high-quality camera module with 5 megapixel resolution and 60 fps based on the ON Semiconductor AR0521 sensor but also the appropriate driver package for controlling the sensor and image acquisition via the MIPI CSI-2 interface. Users receive an industry-ready, robust embedded vision system with outstanding image quality and no integration effort.

 

In addition, an embedded vision development kit based on the DragonBoards from Arrow Electronics and a 96boards.org compliant mezzanine board for the camera module will be available, allowing users to quickly and easily start and test their system setup.

Specs

  • Tailor-made for MIPI CSI-2 connections
  • Direct camera-to-processor connection via MIPI CSI-2 for data transfer and camera configuration without any overhead
  • 5 Megapixel, 60 fps, ON Semiconductor AR0521 sensor
  • Best price/performance ratio due to cost optimized design
  • Ready-to-use driver package for Qualcomm Snapdragon SoCs under Linux (Linaro)
  • Fast and easy camera integration into the actual user application with only a few lines of code using the pylon SDK
  • Easy code migration thanks to GenICam compliance and thanks to the unified pylon SDK
  • Development kit with reference implementation available
  • Flexible flat flex cable and small connector for applications with the highest space constraints
  • Stable, reliable data transfer with a bandwidth of up to 750 MB/s
  • Available in two different feature sets
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