Welded seam inspection

Welded seams are critical applications in industrial production.

Photonfocus sensors and embedded vision solutions enable automated

inspection with the highest precision, image resolution and speed – with

direct onboard processing of image data on request.

Sorting and classifying

In a fully automatic process, embedded vision systems detect the size, volume

and weight of food and recognize different types, shapes and ripeness levels. This

is done using 2D and 3D image acquisition, laser triangulation and infrared image

capture technologies. One special feature of Photonfocus is the option of

interpreting the data locally.

Wheel and rail inspection

Rails and wheels used in railway engineering are subject to high stresses.

This is where measuring systems with fast image sensors and onboard data

analysis come in: These detect wear and damage, reducing downtimes caused

by unforeseen maintenance and improving safety during operation.

Portioning

Food with irregular shapes places high demands on portioning.

Embedded vision systems help record the shape, size and weight of such foods,

in order to determine the ideal portioning. At the same time, maximum processing

speed and image quality guarantee productivity and economic efficiency.

Object measurement in 2D and 3D

Complex components in the manufacturing industry are often made up of multiple

geometries. Three-dimensional inspection systems are therefore needed to detect

even the smallest deviations in production, so that they can be corrected. Embedded

vision systems from Photonfocus are ideal for this task, combining different analysis

methods to evaluate and interpret image data onboard.

     photon3D in detail:

• Highly sensitive cameras for low-light applications
• Maximum flexibility with laser triangulation
• Embedded technology with onboard evaluation
• Laser triangulation of highly reflective materials
• Integrated encoder interface for numerous standards
• All models available as board level cameras and OEM cameras