Showing results: 151 - 153 of 153 items found.
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Model 5950 -
Pentek, Inc.
- Now available in RFSoC Gen 3 with the Model 5953- Multi-board synchronization with Quartz RFSoC video- Supports Xilinx Zynq UltraScale+ RFSoC FPGAs- 16 GB of DDR4 SDRAM- On-board GPS receiver- PCI Express (Gen. 1, 2 and 3) interface up to x8- LVDS connections to the Zynq UltraScale+ FPGA for custom I/O- Optional VITA-66.4 optical interface for backplane gigabit serial communication- Dual 100 GigE UDP interface- Compatible with several VITA standards including: VITA-46, VITA-48, VITA-66.4, VITA-57.4 and VITA-65 (OpenVPX™ System Specification)- Ruggedized and conduction-cooled versions available- Model 8257 1-Slot 3U VPX Development Chassis for Quartz Products- Model 4801 Carrier Design Kit for designing custom carrier for the Model 6001 QuartzXM- Model 6001 unique QuartzXM eXpress module enables migration to other form factors- Pentek's Quartz Family of Xilinx Zynq UltraScale+ RFSoC FPGA Products Video- Live Signal Acquisition Video: Quartz Model 5950 and Model 6001 RFSoC boards- Pipeline Newsletter: Strategies for Deploying Xilinx's Zync UltraScale+ RFSoC- Synchronize up to eight modules with Model 5903 High-Speed System Synchronization and Distribution Amplifier - 3U VPX
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ABB Ability -
ABB Ltd.
ABB Ability mobile gas leak detection system uses ABB’s patented Off-Axis Integrated Cavity Output Spectroscopy (OA-ICOS) technique which has a sensitivity and precision more than 3000 times greater than legacy methods. This enables identification of leaks several hundred feet away from the source. Current traditional leak detection technology is slow, laborious and costly. Operators walk on foot near the pipeline with hand-held sensors making paper-based reports.This is slow and can lead to dangerous leaks being missed or not identified in a timely manner. ABB’s Ability mobile gas leak detection system delivers a low cost per leak solution with low false positives. Reporting includes mapping of the leaks available via a mobile app and measurements as Cloud-based service. The system consists of ABB’s Methane/Ethane Analyzer, a GPS, a sonic anemometer and proprietary leak detection software that presents real-time geospatial maps of multiple gas concentrations in real time. The software’s sophisticated leak detection algorithm combines the system’s measurements of gas concentrations (CH4, C2H6), local coordinates (GPS) and local wind velocity (sonic anemometer) to estimate the location of the leak. Readings are stored in the device and can be transmitted in real-time to the cloud for centralized monitoring.
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ProcVision -
Gidel
Gidel’s Vision Pro Development Kit is an optimal solution for developing,validating, demonstrating and evaluating Image Processing (IP) andpipeline designs on FPGA.The suite is designed to provide a complete and convenient envelop enablingthe developer to focus strictly on the proprietary image processingdesign. The entire Vision Pro flow is within a single FPGA, independentof the final target application(s). The Vision Pro flow is composedof a pipeline that streams simulated data to the user image processingdesign under test (DUT) and then captures the design’s output streamfor displaying, storing, analysis and/or co-processing on host software.The entire process is performed on a single FPGA without the need foradditional peripheral connectivity or tools.Vision Pro suite is plug-and-play enabling the developer to begin at oncethe IP design development and validation. A simple design example providesthe developer immediate hands-on familiarization with the systemflow and supporting tools. The final design can be ported to any IntelFPGA device or other vendors’ devices (FPGA or ASIC) by replacing basiclibraries. To significantly reduce compilation time, initial design developmentmay be on a small FPGA device and later compiled for the targetdevice(s). The target implementation may use any FPGA board. For a fullImaging/Vision system solution, Gidel offers a number of off-the-shelfgrabbers and FPGA accelerators that are designed to utilize these imageprocessing blocks and Gidel Imaging Library (GIL).
