MICRO-EPSILON France

surfaceCONTROL 3D 3500 | The new generation of high precision inline 3d measurements

surfaceCONTROL 3D 3500 | The new generation of high precision inline 3d measurements - MICRO-EPSILON France

surfaceCONTROL 3D 3500 | The new generation of high precision inline 3d measurements - Vision sensors

surfaceCONTROL 3D 3500 | The new generation of high precision inline 3d measurements

Vision sensors

“ Advantages at a glance: Simple operation and connection Highest data quality Short recording times Inline-capable Robot-compatible Complete solution from data recording to measured value output Moder ”

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Presentation

The new generation of surfaceCONTROL 3D snapshot sensors takes 3D surface measurement technology to a new level. The sensors not only offer a maximum Z precision of 0.25 µm, but now also an exceptional XY resolution of up to 8 µm. This enables the sensors to detect even finer detail and take even more accurate measurements than before.

Comparison with conventional high-resolution 3D in-line sensors clearly shows the differences in data quality when the measurement data is unfiltered:

The surfaceCONTROL series of sensors is used wherever maximum accuracy is required. This includes applications in the automotive, aerospace or medical sectors, as well as in semiconductors, additive manufacturing or research and development.

With its sensors compatible with in-line installation, Micro-Epsilon offers industrial customers a complete solution from data recording to measurement value output. This is complemented by a wide range of interfaces.

Technical features

Micrometer-accurate snapshots with large measuring fields Fast 3D measurement from 0.2 s Highest precision up to 0.25 μm Digital interfaces (integrated): GigE Vision / GenICam Slim and compact sensor design Up to 2.2 million 3D points/second Digital interfaces (via 2D/3D Gateway): PROFINET / EtherCAT / EtherNet/IP* Digital in-/outputs: 4 digital I/Os for which parameters can be set (for external trigger, sensor control, output of sensor states)