Hikrobot Vision Master Specifications

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Ranked Nr. 34 of 80 Robot Software

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Self-developed by HIKROBOT, VM is a machine vision software that is committed to providing customers with algorithm tools to quickly build vision applications and solve visual inspection problems. Can be used in various applications such as visual positioning, size measurement, defect detection, and information recognition.


Multiple development modes

Graphical interface development
Graphical software interface, intuitive and easy-to-understand function modules, and fast visual solutions


SDK secondary development model
Customized product development can be completed by using the control and data acquisition interface provided by the VM


Operator design mode
Package the operator into a unique visual tool and integrate it into the user-defined inspection process.

Integrated Vision Master platform with 1000+ image processing operators
The VM provides 1000+ completely self-developed operators and several interactive development tools, supporting a variety of <br/>image acquisition equipment, can meet vision requirements of positioning, measurement, identification, and detection.

Positioning
Measurement
Identification
Detection


Efficient positioning tool matching tool can overcome the differences caused by sample translation, rotation, zoom and illumination, and quickly and accurately find the position of geometric objects such as circles, lines, spots, edges, and vertices. Provide location information and presence information, which can be used in robot guidance and other vision tools.

Provide continuous, accurate and high-speed reading of ID information required for component tracking: OCR algorithm based on deep learning can adapt to the recognition of complex background, low-contrast, and deformed characters; One-dimensional code and two-dimensional code recognition algorithms can recognize information codes of multiple formats, different positions, angles, illumination, and effectively overcome the impact of image distortion.

Accurately identify defects in the surface, shape, and contour of the workpiece: it can detect small surface scratches and spots based on deep learning technology, which can overcome the surface texture, color, and noise interference of the workpiece; accurately detect the shape and contour defects of the workpiece, which can overcome burrs, colors. The interference of noise. Reliable standard parts comparison tool can locate small differences in workpieces.


High-performance deep learning algorithm

The VM algorithm platform is equipped with high-performance deep learning algorithms. After a large number of cases, the optimized algorithm can have good adaptability to common detection products. The deep learning algorithm provides algorithm modules such as classification, target detection, character positioning and recognition, and segmentation. Through the built-in graphical data annotation interface, the complete process from collection, training to detection can be completed within the VM algorithm platform.

  • predict the location of various defects in the picture and present it in the form of a heat map

  • including text positioning and character recognition, which are used to predict the text position and the text truth value in the graph respectively.

  • to determine the type of objects in the picture

  • Determine the category of the object appearing in the picture and predict its location

  • Search for images with similar characteristics to the input image in the specified image dataset

  • Determine the object category and simulate its contour position

  • Present in heatmaps, detect abnormal locations of objects in images based on normal samples


Graphical interface & easy-to-use interaction

The VM provides a fully graphical interactive interface, with intuitive and easy-to-understand function icons, simple and easy-to-use interactive logic and drag-and-drop operation to quickly build a visual solution.


Complete external resource management, can control cameras, IOs, light sources, etc.
The VM integrates the SDKs of various interfaces of industrial cameras, smart cameras, vision controllers and other devices, and embeds efficient and stable occupation and control logic, which has good compatibility with external device resources and can establish a complete management mechanism.

Software type
  • Offline programming
  • Simulation
  • Monitoring
  • Bin picking
  • Palletizing
  • Calibration
  • Developer tools
  • Vision
  • Scheduling
  • Welding

Vision Master Alternatives

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SOLOMON vision Solmotion
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PEKATVISION Software Bundled with Camera
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Liebherr Group Robot vision technology packages - LHRobotics.Vision
Bin picking | Vision
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Liebherr is making its expertise in the field of industrial robot vision applications available to a wide user group with the LHRobotics.Vision technology packages The technology packages consist of a projector-based vision camera system for optical data collection and software for object identification and selection, collision-free withdrawal of parts, and robot path planning to the stacking point. SoftwareBasic license:suitable for customers who only need to roughly set the gripped workpiece down. Path planning is not necessarily required for this. Due to the lack of robot model and obstacles, it is also suitable for customers who place less value on collision checking outside the bin, for example in cases where the gripper is never able to fully enter the bin.Pro license: The professional license offers unrestricted use of the LHRobotics.Vision software. This license is particularly suitable for customers who place value on full collision checking of the path from removal to possible stacking Smart bin-picking software Design a complex application without any programming knowledge at all. LHRobotics.Vision makes it possible. The intuitive graphical user interface enables quick entry of all necessary information using simple steps, starting with: - Attaching workpieces - Configuration of transport containers- Models can be created directly in the software for simple geometry, or existing CAD data can be imported Step by step to the right grip In order to be able to realistically represent withdrawal of parts including all axis movements in the software, highly detailed grippers are created – even bendable grippers or a 7th or 8th axis can be represented. The interfering contour takes into account the current status of the gripper – open or closed. Again, existing CAD data can be accessed. When the workpiece and gripper meet, the task is to define suitable picking positions. This can be done by visually positioning the gripper or by precisely defining the coordinates. Degrees of freedom can be tested, and even realistic removal cycles can be simulated with the LHRobotics.Vision Sim plugin. This enables the optimization of the gripper already within the software. Integrated simulation possibilities with LHRobotics.Vision Sim If changes are necessary, for example modified or completely new parts are to be gripped, you'll want to test in advance if it works. In our option package LHRobotics.Vision Sim, this possibility is included. As offline programming, i.e. without intervening in the running cell, the feasibility can be tested. The entire process can therefore be tested in the cell and put into operation in advance. The environment in view Once parts and grippers have been created, the periphery follows. The robot used is selected from the library to check the work area. Any obstacles can be taken into account: - Input of obstacles present in the robot’s work area - Hand-eye calibration of the system between sensor and robot - Definition of framework conditions for collision-free withdrawal of parts - Path planning
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