Euresys keeps responding to the trend for more decentralized device-based expertise and processing by offering their recognized Open eVision image processing libraries for embedded systems.
While imaging embedded systems become smaller, cheaper, and less power hungry, the porting of the Open eVision libraries onto these systems offers, where no centralized image processing is needed, the Machine Vision manufacturers and integrators the flexibility of deploying the processing at its immediate point of acquisition.
Beyond running on x86 processors, the latest release of Open eVision also runs on ARMv8-A compatible processors running 64-bit Linux, such as Raspberry Pi, Nvidia Jetson, AMD Kria K26 SOM, as well as many smart cameras like ADLink Neon-2000, IDS NXT rio, Lucid Triton Edge or Baumer AX Series (and more to come).
All Open eVision libraries are available for ARM, including 3D inspection, Deep Learning, subpixel measurement, alignment, surface inspection, OCR and 1D and 2D code reading. The acceleration of the deep learning functions using GPU is also available.
While Open eVision Studio applications are not available for embedded systems, all versions of Open eVision libraries are compatible and it is possible, for example, to develop and save model files using Open eVision Studio on a PC under Windows and use them with the ARM version on the embedded system. Depending on the capabilities of the chosen target, it is either possible to compile the program on the target platform itself, or perform a cross compilation on a Linux x86 PC prior to sending it to the target.
Latest releases include:
Python compatibility, New EFourierImage format and tools in EasyImage to exploit results of Fourier transforms, Improved 3D Libraries, enhanced Easy3DMatch sensitivity through Normals comparison, EpointCloudFilter to filter out noise in PointCould, 3DViewer shapes to materialize geometric features, Eye Dome Lighting (EDL) improving 3D rendering in 3DViewer, Pharmacode reader, Barcode grading, OEM Keys extension to protect applications using Euresys Neo dongles, and more.