

Cognex's In-Sight line offers rule-based visual inspection on the factory floor. Rule-based tools have a ceiling, though: when parts vary, lighting shifts, or defects refuse to follow a pattern, teams go looking for deep learning. Roboflow is the fastest way to get there, letting you train models on your own images and deploy them alongside the infrastructure you already run.
The In-Sight 3900 is Cognex's current flagship AI vision system, and the company has recently expanded the line with an NVIDIA-powered In-Sight Vision Controller and a Qualcomm-powered embedded AI system.
• Attributes: Integrated smart camera, on-board processing, factory-hardened
• Ecosystem: In-Sight software suite with rule-based and AI tools
• Connectivity: GigE (PoE), standard industrial protocols
Where Roboflow fits: train a model on your own defect data, evaluate it against real production images, and deploy it with Roboflow Inference on an NVIDIA Jetson or industrial PC next to your existing line. Your team owns the model, the data, and the ability to retrain as your parts change.
Want AI without the integration work? Roboflow’s AI1 deployment device packages onboard AI compute, integrated lighting, and an industrial camera into a plug-and-play system for real-time computer vision - no separate camera, lighting, or edge computer to spec.
