en.Wedoany.com Reported - Cognex Corporation, a global leader in industrial machine vision, announced the full commercial availability of OneVision, a collaborative AI vision development environment designed to help enterprises simplify and scale AI-driven manufacturing inspection processes.

Since its public beta launch in June 2025, over 100 customers worldwide have leveraged OneVision to accelerate AI vision development and deployment. Some customers have expanded its use from a single production line to multiple factory sites, reducing deployment time from months to days. This trend reflects a shift from isolated AI pilots to interconnected enterprise-level inspection strategies.

Matt Moschner, President and CEO of Cognex, stated that while AI vision has created value, scaling deployment has always been a challenge. Manufacturers face recurring issues such as fragmented workflows and poor model adaptability. OneVision addresses these by unifying edge simplicity with cloud scalability, helping enterprises move from single pilots to global deployment.

The platform adopts a cloud-to-edge architecture: AI models are trained, managed, and governed in the cloud, while inspections run in real time at the edge on Cognex vision systems. Customers can centrally manage the entire AI lifecycle—from image collection and annotation to model optimization—and consistently deploy updates across global device fleets. OneVision is optimized for systems such as the In-Sight 3900 and In-Sight 6900.

Reto Wyss, Vice President of Vision Engineering at Cognex, noted that runtime inspection is entirely edge-based; once a model is deployed, no cloud connection is required, production images remain local, and latency is no longer a barrier.

By centralizing model development and management, the platform helps manufacturers standardize inspection processes across sites, reduce redundant work among teams, lower scaling costs by up to 50%, and ensure version control and consistency.

In industries such as automotive, electronics, food and beverage, and healthcare, customers have observed faster AI application development, increased throughput, and improved inspection consistency, while reducing reliance on specialized expertise and enabling global deployment at scale.

Amin Tajeddine, Operational Technology and Digital Manager at Essity, said that developing a reliable seal inspection application previously took over a year, but with OneVision, a viable solution was built and demonstrated in less than a day, significantly reducing development effort.

Christophe Ernis, Smart Operations Manager for the Product Power Division at Schneider Electric, mentioned that the platform enables the company to centrally develop AI inspection standards and deploy the same models across global operations, doubling output and drastically reducing false positives.

Scott Daniels, Senior Manufacturing Technology Engineer at 3M, pointed out that with OneVision, engineers can quickly annotate real production images, build models, and deploy them to cameras, greatly reducing workload.

With the full commercial launch of OneVision, Cognex expects that growing demand from manufacturers for scalable AI vision to enhance operational efficiency across global production networks will further drive platform adoption.

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