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.

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

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

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  to determine the type of objects in the picture

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

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

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  Determine the object category and simulate its contour position

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  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.