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UNC Charlotte Machine Vision Laboratory

The Department of Electrical and Computer Engineering
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Konica Minolta Vivid 910 3D Digitizer

Laboratory Acquires new Vivid 910 Non-Contact Digitizer 

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 Recently the visionlab has been able to acquire a new piece of lab equipment : a Vivid 910 3D digitizer manufactured by Konica Minolta. This should be a great tool for research and education. Interested readers may read on to know more about this equipment.....

  • Speed - scans in less than one second (Fast Mode)
  • Precision - over 300,000 points with range resolution to 0.0016" (Fine Mode)
  • Simplicity - point and shoot simplicity for consistently excellent results
  • Flexibility - only Konica Minolta offers interchangeable lenses for variable scanning volumes

Ideal for applications like:

  • Quality Control Inspection of production parts (e.g. CAT)
  • First Article Inspection; Tool and Die Verification
  • Industrial Design: capture design studies into CAD database
  • Rapid Prototyping Input
  • Reverse Engineering: create CAD legacy data from master parts
  • 3-D shape capture for Computer Aided Engineering Analysis (CAE and FEA)
  • Machine Vision
  • Medical Applications: Surgical Planning (maxillofacial, dental and orthopedic), orthotics and prosthetics, plastic surgery, anthropometric measurements
  • Archiving: Museums, Artifact cataloging, Archeology, Anthropology research
  • Computer graphics: Animation, Computer Simulations
  • Web content creation/ on-line product database creation

 

Read more: Konica Minolta Vivid 910 3D Digitizer

Mars Rover Data Project

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Work has started on image processing techniques for performing experiments using data available from the Mars rovers Spirit and Opportunity.  A significant amount of the rover power is expended on communications, i.e., receiving instructions and sending data back to Earth. Automatic detection of interesting features can be used to perform semi-autonomous experimentation. Automatically performed experiments will reduce the amount of transmitted instructions to the spacecraft. Energy saved using the more efficient communication scheme may then be allocated to other mission critical tasks such as prolonging the life of the spacecraft or further experimentation, data collection, and transmissions.

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