Intelligent Vision & Video

The ability to incorporate high-definition (HD) video, image processing, analytics, and connectivity has become an essential feature of intelligent vision and video applications.

Computer vision and video capabilities (formerly found only in laboratory settings) are now available: from compact, low-cost, energy-efficient embedded vision systems for automotive, industrial and commercial applications all the way to high-performance computing systems for data center applications.

Intel® FPGAs and SoCs, along with IP cores, development platforms, and a software centric design flow, provide a rapid development path with the flexibility to adapt to evolving challenges and solutions in each part of the video / vision pipeline for a wide range of video and intelligent vision applications.

The FPGA Advantage at Each Step of the Video / Vision Pipeline

Intel FPGAs offer performance, cost, flexibility, and integration advantages at each step of the video / vision pipeline. 

Flexible Sensor Interfaces

Image sensor suppliers often have proprietary interfaces, and the sensor interfaces keep evolving to keep up with improved sensor capabilities. Intel FPGAs enable designers to adopt new sensor interfaces easily without changing the rest of the design. In contrast, Application Specific Standard Products (ASSPs) require designers to adopt a new ASSP and redesign the camera board.

High Performance Video and Image Signal Processing

Intel FPGAs enable designers todesign high performance video and signal processing systems  quickly and flexibly. IP cores such as Intel’s Video and Image Processing (VIP) Suite allow designers to pick and choose video processing functionalities as needed, while the high performance FPGA fabric can be leveraged to accelerate video pre-processing of high resolution videos.

Real-Time Analytics

Intelligent, real-time video analytics are key functions in many vision applications such as automotive driver assistance systems, surveillance, and industrial machine vision, and require complex algorithms such as motion detection, facial recognition, and object detection. With Intel® SoC FPGAs, designers can take advantage of the combined power of the FPGA fabric and the dual-core ARM® Cortex®-A9 hard processor system (HPS) in a single chip. By offloading the computation-intensive functions from the HPS to the FPGA fabric, designers can optimize the implementation of these complex algorithms, thereby improving system performance.

High-Efficiency Video Compression

Highly-efficient compression standards such as H.264/H.265 allow the use of smaller FPGAs to reduce system cost.  Moreover, integration of video CODECs with other video processing functions on a single FPGA enables designers to achieve large BOM savings. Intel offers multiple video compression IP cores, which allow designers to flexibly support multiple compression standards and profiles depending on the application requirements.

Universal Connectivity & Bridging

The abundance of different connectivity standards in today’s video and vision systems make FPGAs the ideal platform for universal connectivity and bridging.

Intel and our IP partners offer a variety of connectivity options such as DisplayPort, HDMI, and SDI MegaCores, CoaXPress, Camera Link, GigE Vision, USB3.0, Ethernet AVB, MIPI and others.