uniVision Software Release 2.6.0
- Performance optimizations and minor bug fixes
uniVision Software Release 2.5.0
- Robust and compact MLZL 2D/3D profile sensors for weld seam tracking are supported
- Weld seam tracking module for reliable and stable joint detection
Software Release 2.4.0
- Sensor and analysis module in one. Profiles and analysis can be directly recorded in the smart weCat3D profile sensor, without additional IPC
- Expansion of visualization: New overlays in the profile as well as static images
- Controlling and timing examples facilitate the quick and easy integration of uniVision products into control systems
You’ll find a comprehensive overview of our 2D/3D sensors here.
Overview of Important Downloads
The control unit, the weQube Smart Camera, and the weCat3D smart 2D/3D profile sensors can be installed with uniVision software.
Important information for Windows® 10: this system is supported up to the 2004 version.
Templates
Measure angle
With this template you can measure the angle between two lines. Intersection point and intersection angle are sent as process data via Device TCP.
Find edge
With this template you can find the end point of one line segment. Depending on the position of the search line, the end point of the first segment is found on the left or right side. Edge point and inclination angle are sent as process data via Device TCP.
Measure diameter
With this template you can measure the diameter of a height profile. Midpoint and diameter are sent as process data via Device TCP.
Measure distance
With this template you can measure the distance of a height profile. Midpoint, distance and inclination angle are sent as process data via Device TCP.
Find butt joint
With this template you can find a butt joint for seam tracking at welding applications. Tracking point and further results are sent as process data via Device TCP. Process data via Device TCP can also be used directly in the robot interfaces for seam tracking at welding applications.
Find dent
With this template you can find a dent for seam tracking at welding applications. Tracking point and further results are sent as process data via Device TCP. Process data via Device TCP can also be used directly in the robot interfaces for seam tracking at welding applications.
Find lap joint
With this template you can find a lap joint for seam tracking at welding applications. Tracking point and further results are sent as process data via Device TCP. Process data via Device TCP can also be used directly in the robot interfaces for seam tracking at welding applications.
Find T joint
With this template you can find a T joint for seam tracking at welding applications. Tracking point and further results are sent as process data via Device TCP. Process data via Device TCP can also be used directly in the robot interfaces for seam tracking at welding applications.
Tutorials
Software Modules
Filter
Filters are used to amplify or suppress a characteristic of an image or an image section or to improve the image quality. This feature can be an edge or an area, for example. Filters thus prepare the image processing.
Statistics
The application can be fine-tuned on the basis of statistical sensor data.
Match Code
A scanned code or text can be checked to determine whether or not it coincides with the taught in match code.
Coordinate System
Objects can be tracked and reliably detected. Additional image processing functions can also be set up on the basis of this coordinate system.
The coordinate system module allows for translatory and rotary tracking. The coordinate system’s X and Y positions, as well as its rotary position, are adjusted during this process.
The coordinate system is suitable for tracking objects where the rotary position can change.
Note: In addition to rotary tracking, translatory tracking is also possible. Purely translatory tracking is possible with the tracking module.
Region
The relevant region of interest used for evaluation should be as large as necessary and as small as possible.
A small, precisely defined area results in faster evaluation and a higher image refresh rate. This allows for faster application runtimes because image recording and processing are quicker. Furthermore, object or feature detection is more reliable because fewer noise pixels can occur within the evaluated area.
The object to be detected must lie fully within the selected area, because reliable object detection cannot otherwise be assured.
Compare numbers with each other.
Logics
Logically link values to each other.
Mathematics
Offset numbers with each other.
Measurement
This module can be used to specify dimensional accuracy checks on distances, lengths, diameters or angles and to carry out measurements. Lines and circles are found with the help of search rays. Distances and angles can be measured between detected lines or points.
Spreadsheet Calculation
Results can be subjected to any desired mathematical, numeric or logic calculations.
Counter
Good and bad parts are counted with the counter module.
Calculus
Special points can be ascertained, for example the highest or lowest point of a point cloud.
Pattern Matching
Object contours can be taught in and recognized – regardless of position and rotational orientation within the image (X, Y and 360° tracking).
TCP
Results can be read out via TCP/IP as process data.
UDP
Results can be read out via UDP as process data.
FTP
Images, profiles and text files can be saved on an FTP server or locally on the device.
Weld seam tracking
Various joints can be reliably detected before the welding process.
License Upgrades
System Overview
| uniVision for Windows |
uniVision 3 for Windows
|
| MLSL1xx |
| MLSL2xx |
| MLWL1xx |
| MLWL2xx |
| MLZLxxx |
| M2SLxxx |
