Manufacturing AUTOMATION

Virtual Event
Future of Automation 2022
September 28, 2022 at 1:00pm ET

Gold Sponsors

Global manufacturers rely on Pleora’s expertise in AI and real-time sensor connectivity to shorten time-to-market, reduce risk, and lower costs. Established in 2000, the company serves over 1500 active customers in the industrial automation, medical, and security and defense markets.

The company’s AI-based Visual Inspection System reduces manufacturing quality escapes and gathers key data from manual processes to help speed root cause analysis. The camera-based solution integrates Inspection and Tracking & Reporting apps that are easily trained on a manufacturer’s unique products and processes.

With just one good image, Inspection apps for incoming, in-process, and final quality control steps automatically compare products to a “golden reference” and visually highlight differences and deviations for an operator. As the operator accepts or rejects potential errors, the AI model is transparently trained based on their decisions. Over time, the speed and accuracy of automated decision-making will improve as the system continuously learns from operator preferences.

Integrated Tracking & Reporting apps include automated and customizable reporting tools to provide data and insight on manual tasks. Typically, collecting actionable data from manual processes is a challenge for manufacturers, making it difficult to ensure end-to-end quality and implement process improvements when errors do occur. With Pleora’s system, manufacturers can collect and save data on the number of suspected and confirmed defects, add operator notes on detected issues, and store product images for traceability, inventory & shipment management, and batch tracking.

Pleora also provides an integrated AI algorithm development and edge processing deployment solution that simplifies advanced inspection applications. With a “hybrid” approach, manufacturers can add advanced AI inspection without disrupting existing machine vision and end-user processes.