Includes Visual Positioning Measurement Inspection and Other Functional Machine Vision Software
- Category: >>>
- Supplier: Shenzhen Zhixiang Shijue Technology Co. Ltd.
Share on (1600699212352):
Product Overview
Description
VM Algorithm Platform
VM algorithm development platform is a machine vision software developed by Haikang Robotics, which is dedicated to provide customers with algorithm tools to quickly build vision applications and solve vision inspection problems, and can meet machine vision applications such as visual positioning, dimensional measurement, defect detection and information recognition.
Graphical interface
Easy-to-use interaction
The VM algorithm development platform provides a fully graphical interactive interface with intuitive and easy-to-understand functional icons, simple and easy-to-use interaction logic and drag-and-drop operations to quickly build visual solutions. With its excellent interaction and visual design and outstanding user experience, the software won the 2019 DIA Silver Award in the 2019 China Design Intelligence Awards ("DIA") from more than 7,000 entries worldwide.
Complete external resource management, able to control cameras, IO, light sources and other devices
VM algorithm development platform is internally integrated with SDKs for each interface of Hikang robotics industrial cameras, smart cameras, vision controllers and other devices, and embedded with efficient and stable occupancy and control logic, with good compatibility with external device resources and able to establish a perfect management mechanism
Specifications
IMVS-VM-6100 | Includes full functionality of positioning, recognition, measurement, detection, etc., without deep learning |
IMVS-VM-1100 | Deep learning included |
IMVS-VM-2100 | Include defect detection function |
IMVS-VM-4100 | Includes localization and measurement functions |
IMVS-VM-7100 | Deep learning support |
Model | Positioning | Identification | Deep Learning | Calibration | Operations | Image processing | Color processing | Defect detection |
IMVS-VM-6100 | × | √ | × | × | × | × | × | × |
IMVS-VM-1100 | √ | × | × | × | × | × | × | √ |
IMVS-VM-2100 | √ | × | × | √ | √ | √ | × | × |
IMVS-VM-4100 | √ | √ | × | √ | √ | √ | √ | √ |
IMVS-VM-7100 | √ | √ | √ | √ | √ | √ | √ | √ |
Multiple development models
1.Graphical interface development：
Fully graphical software interaction interface, functional modules are intuitive and easy to understand, drag-and-drop operation can quickly build visual solutions
2.Secondary development mode of SDK：
Custom development is done by using the control and data acquisition interfaces provided by the VM algorithm development platform
3.Design Patterns for Operators：
Package the operator as a unique visual tool to be integrated into a user-defined detection process.
Tools
1.Positioning 2.Measurement 3.Identification 4.Detection
Positioning
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.
Identification
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.
Detection
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
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.
Company Profile
We Recommend
New Arrivals
New products from manufacturers at wholesale prices
