STEMMER IMAGING

Trevista CAM closes the gap between simple applications for intelligent cameras and demanding surface inspection tasks. It is based on the patented trevista illumination in combination with a powerful smart camera, pre-loaded with either Teledyne DALSA's Inspect or Sherlock machine vision software.

The CVS trevista CAM is ideal for applications that require inspection of topographical and textural details of parts, even if they're challenging glossy / curved surfaces or trim parts. The preconfigured system mean you can unpack and start testing right away.

The trevista process

trevista is based on the patented shape-from-shading technology: diffuse structured lighting guarantees optimum illumination from different directions. Thus, even the most difficult shapes can be fully inspected. The trevista process closes the gap between 2D image processing and optical 3D shape recognition. It combines the speed of 2D image processing and the precision of 3D recognition.

• Topographic images are used for the three-dimensional presentation of surface shapes and the presentation of defect characteristics with depths of only a few microns
• Generation of a textured image for detection of brightness differences on the inspected components
• The trevista algorithm locates and classifies defects quickly, reliably and free of interference

CVS trevista CAM variants

• CVS trevista CAM-iNspect Express
  Enables rapid deployment of inspection projects without great image processing experience. It features iNspect Express, a vision application software specifically designed to simplify the design and deployment of automated inspection on the factory floor. iNspect offers new and experienced users alike a practical tool delivering uncompromised functionality that can be readily applied to a wide range of manufacturing tasks.

• CVS trevista CAM-SHERLOCK
  Using Sherlock, an advanced machine vision software interface that can be applied to a wide variety of automated inspection applications. It offers maximum design flexibility and provides a rich suite of proven tools and capabilities.

Specifications

''###System

• Lighting, control unit, trevista algorithm, camera, lens and software
• Dimensions: 160 x 160 x 220 mm
• Resolution : 2048 x 2048 Pixel
• Plug-&-Play

Optical setup

• Field of view typically: 35 mm diameter
• Working distance typically: 20 mm

Intelligent camera

• ADLINK NEON
• CMOSIS CMV4000
• Intel Atom Quad Core, 4 GB RAM, 32 GB SSD
• Windows 7 embedded
• Digital I/O, Ethernet, USB, VGA

Optics

• Standard lens RICOH f = 35 mm

Lighting

• Structured diffuse Dome light
• Temperature control
• Control unit
• Timing image acquisition sequence
• Modes: hardware-trigger / software-trigger
• 4 digital inputs, 3 digital outputs

Examples with CVS trevista CAM

Example A: Euro coin
The coin example demonstrates how CVS trevista CAM works: The slope images in x and y direction detect shape deviations in a specific orientation. The curvature image is invariant in orientation, and provides additional topographic information that can be used to distinguish between elevations and depressions. The texture image evaluates the brightness characteristics of the surface, allowing defects such as discoloration and rust to be clearly identified. These partial images are combined to give the final result image.

Example B: Membrane