Wenglor Releases Cloud-Based AI Platform for Image Processing

Wenglor Sensoric Group has recently launched AI Lab, a cloud-based web platform designed to manage and train AI models for industrial image processing. Operating closely with Wenglor’s weHub and uniVision 3 software, the new release advances AI-integrated automation by creating a unified system called the "AI Loop." With this new integrated system, users can upload image data, train models in the cloud, and deploy them directly onto Wenglor's smart cameras and machine vision controllers.

Wenglor’s AI Lab enables cloud-based AI model training for image processing applications like quality control. Image used courtesy of Wenglor Sensoric Group

An “AI Loop” Workflow

Wenglor’s AI Lab features an intuitive AI model creation workflow environment and a uniform interaction pattern. With uniVision 3, Wenglor's modular standard software that powers its MVC machine vision controllers and B60 series smart cameras, users can record height profiles, capture images, and run both AI-based and rule-based applications, all without prior programming knowledge.

Wenglor’s weHub connection software also complements the new AI Lab's ecosystem by acting as a bridge between machine vision hardware and the AI Lab cloud. With direct configuration of devices, the connection tool automatically discovers Wenglor devices on the local network, handling image uploads and AI model downloads as part of the AI Loop workflow.

Thanks to its cloud architecture, users can access AI Lab remotely, independent of location. Image used courtesy of Wenglor Sensoric Group

The AI Lab Cloud Platform

The new AI Lab uses an innovative, high-performance cloud computing infrastructure that is capable of handling large data sets and deep learning models. With uniVision 3, users can benefit from its intuitive workflow for direct cloud image upload via the weHub connection tool. Other than supporting powerful model training, this cloud architecture enables location-independent collaboration. Users can therefore access projects anywhere, handle multiple data sets simultaneously, and work remotely. Routine automatic cloud backup ensures that data remains accessible and intact even in the event of a technical issue.

AI Model Evaluation and Optimization

In addition to training, the new AI Lab offers advanced tools for evaluating and refining models. These include a heatmap function that illustrates how the AI processes image regions, an automatic validation for accuracy checks, and a review function for collaborative targeted AI model performance improvement. These tools enable users to optimize models for industrial-grade performance in sorting, inspection, and defect detection tasks.

AI Lab is designed to be used with Wenglor’s machine vision products, including the B60 series of smart cameras. Image used courtesy of Wenglor Sensoric Group

Scalable Access and Transparent Plans

To accommodate the needs of various users, Wenglor offers the new AI Lab plans on a prepaid basis. With the adaptable packages, the company provides scalable, transparent computing resources and training credits without automatic renewal, enabling companies to manage costs while accessing high-performance AI tools when needed. This eliminates the need for complex licensing, simplifying the adoption of AI-enhanced image processing for organizations of all sizes.

Advancing Industrial Image Processing

As AI and machine vision technology push the boundaries of modern applications, industries face the challenge of managing vast image datasets and designing models that are reliable for inspection, object recognition, and quality control. Solutions like Wenglor's new AI Lab eliminate this complexity without needing programming expertise. By allowing users to build and optimize their AI models from anywhere, the new solution makes a process that was previously highly technical simpler and more flexible.