Vision Inspection System

Automate your quality management with the WrxFlo Vision Inspection System

Powered by AI & Deep Learning

Reduce errors & improve inspection rate

Automate your manufacturing operations with the WrxFlo Vision Inspection System. Simplify and optimise your manual quality processes by detecting defects, contaminants, functional flaws, and other irregularities in manufactured products.

Utilise AI and deep learning to improve quality and reduce costs for your business. We can integrate our solutions seamlessly and securely into your operations, applying best-in-class technologies using machine vision, recognition, and identification.

using machine vision, recognition, and identification

Simplify & optimise your manual quality process

Reduce the paperwork and administrative tasks needed to manually quality-approve thousands of manufactured goods every day with the WrxFlo Vision Inspection System. WrxFlo uses Advantech industrial PCs hooked up to industrial cameras implemented onsite in your manufacturing facility.

With the click of a button, each part will go through a rigorous inspection testing phase and the Vision Inspection System can detect any errors with parts. The system notifies the operator, who can then decide on a course of action. A record of the test will be stored, allowing the system to self-learn, improving system accuracy over time.

Reducing human error

With automated processes that are self-learning, reduce human error and increase inspection rate.

This system removes any human error, as it removes the operator’s tacit knowledge, as most quality systems are based on human experience and this system is based on machine learning. This system also removes paper as everything recorded by hand is now removed and the data is recorded and stored in the cloud for future analysis.

Automate your operations through AI & deep learning

The WrxFlo Vision Inspection System

A visual quality automated inspection system
Takes seconds rather than minutes
Information is saved to the cloud and the data can be analysed
The system can analyse metrics and trends with errors/faults

AI model that sits in the cloud, all records are stored on the cloud and available for real-time review
Removes manual inspection processes and brings the process to a new level of automation
Self-learning model

Error detection
Looks at historical records
The model continues to learn and predict good product and bad product
Operators can read and detect quality errors and improve the system accuracy over time