AI manufacturing solutions expanded with apps and integrations

Pleora’s AI manufacturing solutions include a 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. The company’s solutions are now deployed in consumer goods, manufactured parts, print and packaging, and food and beverage inspection. 

For visual inspection applications, Pleora is introducing a suite of production-ready Inspection and Tracking & Reporting apps that require no coding or design. Inspection apps for incoming, 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 customised for 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. 

For automated inspection applications, off-the-shelf AI and machine vision plug-ins for common quality inspection tasks can be easily modified in Pleora’s ‘no code’ eBUS AI Studio and deployed in production without requiring specialised development skills.