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Vaira Eliminates Error-Prone Manual Processes

At the Automate expo in Detroit Pleora Technologies showcased its recently introduced new production-ready and customizable performance advances for its AI solutions to help manufacturers improve frontline processes and collect inspection data for analytics.

Pleora’s AI manufacturing solutions include its Vaira Visual Inspection System that makes human decision-making consistent and traceable, and an edge processing and algorithm design platform to add advanced defect detection capabilities alongside automated computer vision processes.

Vaira digitizes and automates error-prone manual manufacturing processes and human decisions. The app-based solution uses machine vision to help identify errors and differences and gather product data, with unique operator-driven AI edge training to add automated decision support. The platform is now in use in the electronics, consumer goods, and manufactured parts markets to help ensure end-to-end quality and gain data insight to guide business decisions as manufacturers plan for wider scale automation.

“As we have introduced our AI solutions, our applications team is partnering with manufacturers across a broad range of sectors to better understand their daily challenges and long-term objectives,” said Jonathan Hou, President with Pleora. “Expanding the off-the-shelf and customizable capabilities of our AI solutions, we’re helping manufacturers address immediate concerns related to quality, labor shortages, and increasing costs while they accelerate their focus on collecting and analyzing inspection data to drive process improvements.”

The Pleora eBUS Studio, low-code development platform delivers unique capabilities to connect and configure imaging devices, design & deploy custom, open source and third-party machine vision and AI inspection applications on a flexible range of processing options and integrate with critical manufacturing floor systems and processes. eBUS Studio gives system designers more improved flexibility to use the cameras and processing best suited to their application, while easing integration with PLCs and MES/ERP systems.

For visual inspection applications, Pleora has introduced a suite of production-ready Inspection and Tracking & Reporting apps that don’t require coding or design. Inspection apps for in-coming, in-process, and final manufacturing steps make product errors obvious for a human operator. Inspection can start with just one good product image. As the operator accepts or rejects initial errors, the AI model is transparently trained and will begin detecting issues and suggesting decisions for the human inspector.

To further improve frontline operations, Pleora’s growing library of manufacturing apps are available as production-ready tools that can be customized for unique requirements with the company’s eBUS AI Studio development platform. Off-the-shelf apps include tools for barcode scanning, inventory tracking, raw material management, component count, and more.

The company has expanded the capabilities of its Tracking & Reporting apps, which collect actionable insight from manual processes including suspected and confirmed defects and user notes. Manufacturers can now store manual inspection data to local or cloud-based production databases for traceability, shipment management, and batch tracking. New integrated two-way read and write communication with manufacturing enterprise resource planning systems helps end-users monitor, track, and analyze manual inspection data to speed issue resolution and improvement initiatives.

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