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Modular vision controller for edge AI industrial inspection
Cognex Corporation has introduced a vision controller featuring NVIDIA Jetson technology to facilitate high-capacity AI processing for demanding manufacturing workloads.
www.cognex.com
Cognex announced the launch of the In-Sight® 6900 Vision Controller. The vision controller utilizes a modular architecture to allow the configuration of cameras, optics, and lighting specifically for industrial inspection requirements. By processing sophisticated neural networks at the edge, the system eliminates the need for external PCs or distributed architectures in complex production environments.
Technical Architecture and AI Integration
The system incorporates NVIDIA Jetson modules to execute high-performance AI engines directly at the point of inspection. This integration provides specific performance capabilities for high-throughput lines:
- Parallel Processing: Up to 157 TOPS of AI performance enables the simultaneous operation of multiple high-resolution AI models.
- Real-Time Inference: Integration with NVIDIA TensorRT synchronizes AI decision-making with high-speed production line timing.
- Modular Support: Compatibility with interchangeable lenses, optics, cameras, and accessories (LOCA) allows for precise hardware customization.
Advanced Tool Modes and Scalability
The controller utilizes advanced AI tool modes designed to handle variable defects and parts of different sizes in dynamic environments. Technical features of these modes include:
The controller utilizes advanced AI tool modes designed to handle variable defects and parts of different sizes in dynamic environments. Technical features of these modes include:
- Few Sample Classification: Transformer-based models allow for deployment using 10 to 20 training images, reducing the time required for data collection.
- Pixel-Level Segmentation: Critical features are isolated to provide analysis on challenging surfaces.
- Global Scalability: The hardware integrates with the OneVision collaborative AI platform, allowing engineering teams to develop and scale inspection applications across multiple production lines.
Operational Positioning
According to Matt Moschner, President and CEO of Cognex, the combination of edge AI processing with modular hardware allows manufacturers to solve demanding inspection applications without the cost or complexity associated with PC-based systems.
Edited by Romila DSilva, Induportals Editor, with AI assistance.
According to Matt Moschner, President and CEO of Cognex, the combination of edge AI processing with modular hardware allows manufacturers to solve demanding inspection applications without the cost or complexity associated with PC-based systems.
Edited by Romila DSilva, Induportals Editor, with AI assistance.
