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Improve Production Yields with Hybrid AI  

 This whitepaper introduces “Hybrid AI” – a novel approach that combines the best of established machine vision processes and new AI capabilities. Gain insight into user challenges, solutions, training requirements, and application use cases for Consumer Goods, Automotive, Food & Beverage, and Print & Packaging.

 Pleora's Hybrid AI approach integrates algorithm development and edge processing to provide brand owners and integrators with a flexible end-to-end solution

 Reduce false positives and false rejects for quality inspection vs. existing systems

By adding AI skills alongside traditional vision processes, manufacturers can significantly reduce quality inspection errors 

Quality inspection for difficult tasks not handled well with traditional computer vision

Automating more manual inspection tasks for Industry 4.0

AI Reduces False Positives & Rejects

Add AI to Existing Systems

Pleora’s AI Gateway simplifies the deployment of advanced machine learning capabilities to improve the reliability and lower the cost of visual quality inspection. Designed to work with existing inspection hardware and software, the embedded platform integrates plug-in vision inspection AI skills, a user-friendly approach to integrate custom capabilities, and a powerful NVIDIA GPU to accelerate the development of more advanced machine learning and computer vision algorithms.

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