Robotic Process Automation (RPA)
Transform Your Inspection Processes with Our Industrial Machine Vision Automation Solutions

- Includes All-in-one Robust Design for rapid POC and deployment.
- The setup includes a Machine vision camera, Machine vision lens and Adjustable fixture.
- Two-channel Machine vision Light, top Ring light and bottom flat profile light.
- Industrial Windows OS PC, power supply, IO and MV GigE interface built in.
- Highly customizable to meet most requirements of inspection automations.
- Cost-effective and Quick ROI.
- Scalable to multiple cameras, conveners, rotary fixtures and vibratory bowl feeders.
- Good aftersales support with highly skilled machine vision Engineers.



Areas of Application
- Defect Detection
- Process Monitoring
- Packaging
- Warehouse monitoring and factory floor management
- Presence/Absence detection
- Automated vision test & measurement
- Pattern matching
- Part verification (orientation, function, dimension, finished part features)
- Optical character recognition & verification (OCR/OCV)
- Colour verification
- Sorting
- Barcode and QRcode reading and traceability.


Applications





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
The OVM 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.

Graphical interface & easy-to-use interaction
The OVM 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.


INDUATRIAL APPLICATIONS



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