3D visual inspection
3D visual inspection systems for position recognition, qualitative and quantitative object inspection and 3D object reconstruction.
- 3D image capture (laser triangulation, pattern projection, stereo vision, Time-of-Flight).
- 3D image analysis based on comparison with a 3D model or individual analysis of a complex 3D scene.
- Measurement of 3D dimensions, measurement of dimensions of objects of variable position.
- Inspection of shape and flatness, detection of surface defects (cracks, grooves, etc.).
- Checking the presence and correct position of components (e.g. electrical components, seals).
- Reading 3D text.
Typical application
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Use-case
Battery monitoring using 3D sensors
In the automotive industry, precision is essential, and this is of course also true in the manufacture of batteries for electric vehicles (EVs). Malfunctions, short circuits, chemical leaks: these are all serious safety risks to avoid when it comes to electric vehicle batteries, or EV batteries for short.
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Other solutions
Machine learning (deep learning) and neural networks
Advanced image analysis using deep learning methods also enables camera inspections in machine vision applications where conventional methods cannot be used.
Checking the application of heat conductive paste and adhesive
Camera systems for quality control of the coating on the base part, on which the electronic part is subsequently deposited. The task is to check the quantity and distribution of the applied paste.
Inspection equipment for the production of automotive headlamps
The system checks the presence and correctness of parts and the completeness of the product during assembly, while allowing electrical and mechanical tests to be carried out.