InfiniVision: Multi-Camera Frame Grabbing
About this offer
The Gidel InfiniVision™ frame grabber system provides flexible infrastructure for image acquisition and processing from multiple cameras/sensors simultaneously. The system can capture data streams of varying frame data size and can synchronize between up to 100 cameras/sensors. Camera interfaces currently offered by Gidel include GigE Vision CoaXPress-12, Camera Link, and MIPI, as well as an option for customizing the camera/sensor interface and protocol. The acquisition path allows for adding data processing blocks such as Image Signal Processing (ISP) and compression. The InfiniVision system includes Gidel FPGA frame grabber board(s), IP, API and example software applications. The InfiniVision is offered with open FPGA code that can be customized to user system specifications. The system is supported by Gidel's innovative tools enabling to quickly develop on FPGA, including customization of acquisition flow and embedding used image processing block in the InfiniVision acquisition flow. InfiniVision can be embedded in a variety of FPGAs, including Arria 10, Stratix 10 N/M/S. Product Features: Grabbing and synchronizing from100+ cameras; Grabbing capability of varying incoming data size; Option for adding inline Image Signal Processing (ISP); Option for inline image compression; Support for CoaXPress, Camera Link, and MIPI. Ability to tailor to any camera interface and protocol; Acquisition rate of up to 400 Gb/s per board; Up to 512+ GB image frame buffer; PCIe Gen. 3 x up to 16 lanes; Diverse I/O capabilities: RS422, opto-couplers, LVTTL and 30 V drivers/ receivers; Powerful image processing capabilities on Intel Stratix 10 N/M/S and Arria 10 devices; Supported by the Gidel Developer’s suite for simplifying and accelerating development on FPGA. Support for GenICam GenTL and MVTec’s HALCON machine vision software.
High Performance Computing
Artificial Intelligence : Anomaly Detection
Artificial Intelligence : Deep Learning
Artificial Intelligence : Facial Detection/Recognition/Classification
Artificial Intelligence : Image/Object Detection/ Recognition/Classification
Artificial Intelligence : Machine Learning
Artificial Intelligence : Medical imaging, Analysis and Diagnostics
Artificial Intelligence : Predictive Maintenance and Analytics
Artificial Intelligence : Robotic Process Automation
Artificial Intelligence : Video Surveillance and Analytics
Digital Security Surveillance : Enterprise DSS Solutions with Intelligence (1000+ cameras)
Digital Security Surveillance : Entry Level Solutions (1 to 20 cameras)
Digital Security Surveillance : High End Solutions with Intelligence (101 to 1000 cameras)
Digital Security Surveillance : Mid Level Solutions with Intelligence (21 to 100 cameras)
Cloud Computing : Hybrid Cloud
Cloud Computing : Private Cloud
Cloud Computing : Private Cloud and Software Defined Infrastructure
Cloud Computing : Public Cloud
Manufacturing : Automotive
Manufacturing : Industrial Automation
Defense and Space
Communications : Data Processing, Hosting and Related Services
Health and Life Sciences : Medical Devices
Health and Life Sciences : Medical Imaging
Energy and Utilities
Automotive : Autonomous Driving
Automotive : In Vehicle Infotainment
Manufacturing : Automotive
- Software and IP Cores: FPGA Intellectual Property Cores: Interface Protocols: PCI Express
Included Intel Technology
Intel® Arria® 10 FPGAs and SoC FPGAs
Intel® Stratix® 10 FPGAs and SoC FPGAs
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Gidel was founded in 1993 and has been continuously providing Intel® FPGA-based hardware and software products to the marketplace. Gidel products are optimized for diverse markets such as HPC, Imaging-Vision, and ATEs. Gidel's COTS hardware are robust, reliable and have long life-cycle with quality ISO 9001-2008. It offers customization to meet end user's system requirement and these systems are used by large OEMs in production. Gidel specializes in high-performance grabbing and real-time processing continuously providing best-in-market imaging and vision performance.
Infinivision: Multi-camera Frame Grabbing
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