Aurora Imaging Library X is a comprehensive collection of software tools for developing machine vision, image analysis, and medical imaging applications. This library includes tools for every step in the process, from application feasibility to prototyping, through to development and ultimately deployment.
Solve applications rather than develop underlying tools by leveraging a toolkit with a more than 25-year history of reliable performance
Tackle applications with utmost confidence using field-proven tools for analyzing, classifying, locating, measuring, reading, and verifying
Base analysis on monochrome and color 2D images as well as 3D profiles, depth maps, and point clouds
Harness the full power of today’s hardware through optimizations exploiting SIMD, multi-core CPU, and multi-CPU technologies
Support platforms ranging from smart cameras to high-performance computing (HPC) clusters via a single consistent and intuitive application programming interface (API)
4Sight EV7 is an industrial computer built for multi-camera machine vision applications on the factory floor, and features a twelfth-generation twelve-core Intel® Core™ processor with acceleration for deep learning inference or prediction.
Reduce service stoppages with a fanless design
Inspect multiple sites through the support for four GigE Vision and four USB3 Vision cameras
Simplify cabling for GigE Vision installations using Powerover-Ethernet (PoE)-enabled ports
Tackle deep learning and traditional machine vision applications with a mobile-class embedded twelfth-generation Intel Core processor
Connect separately to the factory floor and enterprise networks via two more Gigabit Ethernet ports
Simply connecting the sensors and actors relevant to a process into a camera network makes the Baumer GigE Vision® trigger device possible.
Simple integration of trigger sensors and encoders
– Real-time triggering of GigE cameras over the network
– Track & Trace: reliable tracking of multiple items
– Support for Power over Ethernet
– Industrial design with fitting on a top-hat rail