AI gateway and inspection plug-in enables machine learning tasks

May 12, 2020
A "no code" approach simplifies classification, segmentation, and object detection routines.

Pleora’s AI Gateway no code Inspection Plug-In is designed to simplify the training and deployment of machine-learning based classification, segmentation and object detection capabilities for visual inspection applications, primarily by removing the need for any additional algorithm development and coding. Images and data are uploaded to Neurocle’s Neuro-T deep learning software, which supports Auto Deep Learning technology with predefined parameters, optimized for the NVIDIA GPU in Pleora’s AI Gateway. Using the “no code” approach, AI models transfer and deploy on the AI Gateway for production environments.

In comparison, traditional AI algorithm development requires multiple steps and dedicated coding to input images, label defects, fine-tune training, and optimize models. Image acquisition is from any vision standard-compliant image source and processed data is sent over GigE Vision to inspection and analysis platforms. The company reports that it is being used by customers to reduce errors, false positives and secondary screenings in packaging, pharmaceutical and finished goods analysis applications.

To Learn More:

Contact: Pleora Technologies
Headquarters: Kanata, Ontario, Canada
Product: AI gateway inspection plug-in
Key Features: optimized for NVIDIA GPU in Pleora AI Gateway

What Pleora Technologies says: View more information on the AI gateway inspection plug-in.

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