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LeanXcam

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leanXcam

The leanXcam is an open-source programmable smart camera used for industrial applications in the field of machine vision. As of 2015, the project has been discontinued, with orders ending June 31st and technical support ending in December.[1]

Application[edit]

The leanXcam is used by various universities, government agencies, industrial companies, and private clients worldwide. Each also has its own library files freely available on the internet.

Of the known applications of the leanXcam, it is used to automate production processes, quality controls, and to operate autonomously. In security, the camera is used to recognize objects within the viewing window, and if necessary, to trigger an alarm. The leanXcam can also be used as a simple webcam.

Hardware[edit]

The smart camera contains a Blackfin DSP processor (ADSP-BF537), which can analyze the image data directly and evaluate. The camera sensor provides 60 images per second with a resolution of 752 x 480 pixels. This combination allows operation without an external computer. Communication is made available through the Ethernet port on the camera or, for small amounts of data, via RS-232 and I2C.

Software[edit]

The leanXcam uses the operating system uClinux. This allows the use of various standard programs, such as web servers, directly on the camera. An open source software library (Oscar) allows the control of hardware through the appropriate drivers. Several sample applications in C and C++ are available on the internet and can be used as a basis for implementing one's own projects.

Technical data[edit]

Interface[edit]

Dimensions[edit]

81 x 74 x 30 mm (L x W x H) [2]

Community[edit]

The leanXcam primarily utilized a mailing list for user communication. Under the project's GitHub page, resources for developments and enhancements of the software package can be found. Numerous examples of software, documentation, and libraries are freely available online.

Awards[edit]

The leanXcam won the "Vision Award 2008" at the Vision 2008 exhibition in Stuttgart, Germany. [3][4][5]

References[edit]

  1. "home". GitHub. Retrieved 2023-11-18.
  2. Datasheet of the leanXcam
  3. "Vision exhibithon". Archived from the original on 2011-08-18. Retrieved 2011-09-09. Unknown parameter |url-status= ignored (help)
  4. Article in Vision System Design
  5. "Article in Elektor". Archived from the original on 2012-04-02. Retrieved 2011-09-09. Unknown parameter |url-status= ignored (help)

External links[edit]


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