Cobot Palletizer Manufacturer

Affordable Cobot Palletizers: Driving Global Factory Automation Forward

Easy to Use

High Payload

Small Footprint

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.

Warsonco VM Vision System

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.

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
image acquisition equipment, can meet vision requirements of Positioning, Measurement, Identification, and Detection.

 

Positioning

Positioning

Measurement

Measurement

Identification

Identification

Detection

Positioning

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.

Image Segmenttation

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

Character Training

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

Image Classicfication

To determine the type of objects in the picture

Object Detection

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

Image Search

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

Determine the object category and simulate its contour position

Abnormal Detection

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