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Xilinx Embedded Vision Academy Documents

The listing below showcases the Embedded Vision Academy documentation provided by Xilinx Corporation.

With the emergence of the "smart factory," visual intelligence will further evolve and mature, as well as expand into new applications.

Deep learning-based vision processing is an increasingly popular and robust alternative to classical computer vision algorithms.

Image processing can optionally take place within the edge device, in a network-connected cloud server, or subdivided among these locations.

Cameras, along with the interfaces that connect them to the remainder of the system, are critical aspects of any computer vision design.

Middleware libraries together with SDAccel enable software developers to program DNNs in their native C/C++ environment.

The OpenCL framework enables the development of programs that execute across programmable logic fabric and other heterogeneous processors.

Cameras installed around a vehicle exterior, along with cost-effective, powerful and energy-efficient processors, deliver numerous benefits.

OpenCL enables software developers to efficiently harness diverse processing resources in embedded vision.

Signs that see and understand the actions and characteristics of individuals can deliver numerous benefits.

Xilinx and its partner Sensor to Image have created hardware, software, IP, and turn-key system solutions for the machine vision market.

Vision processors, fed by image sensors and running robust software, are transforming industrial automation aspirations into reality.

Semiconductor and software advances are enabling medical devices to derive meaning from digital still and video images.

Machine vision technology is growing in adoption, and it has been and will continue to be deployed in a variety of application areas.

Image enhancement functions are key elements of many embedded vision designs in improving downstream algorithms' ability to extract meaning.

Embedded vision applications deal with lots of data; a single 1080p60 24-bit color video stream requires nearly 3 Gbps of bandwidth.

What innovation can alert users to a child struggling in a swimming pool, or an intruder attempting to enter a residence or business?

In the last five years, the automotive industry has made remarkable advances in systems that truly enrich the driving experience.