Reduced complexity of deploying machine learning for quality inspection

10 February 2020

Pleora Technologies has introduced a machine vision artificial intelligence (AI) platform that is said to simplify the deployment of advanced machine learning capabilities to improve the reliability and lower the cost of visual quality inspection.

“While AI promises to revolutionise quality inspection, integrators and designers struggle with how to cost-effectively integrate advanced capabilities into existing and new applications,” said Harry Page, president, Pleora Technologies. “Pleora’s AI Gateway platform is an evolutionary approach to AI, with plug-in machine learning skills for classification, sorting, and defect detection, combined with the flexibility to train and deploy open source or custom algorithms. Users can immediately employ AI to reduce inspection errors, false-positives, and secondary screenings while preparing for more advanced Internet of Things (IoT) and Industry 4.0 applications.”

With Pleora’s new gateway end-users and integrators can more easily deploy AI skills without the need for any additional programming knowledge. Through a web-based interface, images and data are uploaded to ‘no code’ training software on a host PC, which generates a neural network that is deployed onto the Pleora AI Gateway.


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