Cognex Corporation, the global leader in industrial machine vision, today announced the general availability of OneVision, its collaborative AI vision development environment designed to simplify and scale AI-powered inspection across manufacturing operations.
Since its beta launch in June 2025, more than 100 customers worldwide have used OneVision to accelerate AI-powered vision development and deployment, with many progressing from single-line applications to multi-site rollouts in days instead of months. This momentum reflects a broader shift as manufacturers move beyond isolated AI pilots toward connected, enterprise-wide inspection strategies.
Matt Moschner, president and CEO of Cognex said: "AI vision has long delivered value, but scaling it across operations has remained a barrier. Manufacturers encounter recurring challenges—from fragmented workflows to models that don’t adapt across environments. OneVision addresses this by unifying the simplicity of the edge with the scalability of the cloud, helping organisations move from isolated pilots to consistent, enterprise-wide deployment."
OneVision addresses a persistent challenge in industrial AI: deploying advanced vision applications at enterprise scale without adding complexity or slowing production. This introduces a cloud-to-edge
architecture, where AI models are trained, managed, and governed in the cloud, while inspection runs at the edge on Cognex vision systems for real-time, reliable execution. Customers can now centrally manage the entire AI lifecycle—from collecting and labeling production images to refining models—and deploy updates consistently across global fleets of devices. OneVision is optimised to work with Cognex’s latest systems, including the In-Sight® 3900 and In-Sight® 6900.
Reto Wyss, vice president of vision engineering at Cognex said: “While OneVision leverages the cloud for development and management, runtime inspection remains fully edge-based. Once a model is deployed, no connectivity to the cloud is required. Production images stay local and latency is a non-issue.”
By centralising model development and management, OneVision helps manufacturers standardise inspection processes across sites, reduce duplication of work across teams, reduce scaling costs by up to 50% and maintain version control and consistency across deployments.
Across industries including automotive, electronics, food and beverage, and healthcare, customers are seeing faster AI application development, improved throughput, and more consistent inspection
results — while reducing reliance on specialised expertise and scaling deployments globally.
Amin Tajeddine, operational technology and digitisation manager at
Essity said: “With our previous approach, developing a reliable sealing inspection application took more than a year of iteration and tuning, and quality issues could lead to full batch returns and significant material waste. Using OneVision, we were able to build and demonstrate a viable solution in less than a day. OneVision’s simplicity and ease of use significantly reduced development effort and gives us confidence in how quickly AI vision applications can be scaled across our operations.”
Christophe Ernis, smart operation manager, product power division, at
Schneider Electric said: “OneVision allowed us to develop and validate AI inspection standards centrally and then deploy those same models across our worldwide operations. That approach helped us double yield, dramatically reduce false rejects, and reduce our dependence on specialised vision expertise. Most importantly, it gives us a repeatable way to scale best practices reliably across our factories.”
Scott Daniels, senior manufacturing technology engineer, at
3M said: “With OneVision, our engineers can quickly label real production images, build models, and deploy them to cameras with far less effort.”
With general availability now underway, Cognex expects momentum for OneVision to accelerate as
manufacturers demand scalable AI vision to drive operational efficiency across global production networks