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Embedded Vision

Avnet Silica, leader in Vision Solutions provide image sensors, camera modules, processing engines and even full reference designs to help you creating your next vision solution.

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Whether your embedded vision application operates in low light conditions, requires high definition imagery or uses thermal images for environmental control, Avnet Silica has everything you need to get to market faster with a competitive advantage.

Visual inputs are the richest source of sensor information. Since more than 50 years, scientists try to understand imaging and developed algorithms allowing computers to see with Computer Vision applications. The first real commercial applications, referred as Machine Vision, analysed fast moving objects to inspect and detect errors in products.

Due to improving processing power, lower power consumption, better image sensors and better computer algorithms, vision elevates to a much higher level. Combining embedded systems with computer vision results in Embedded Vision Systems. Over the next few years, there will be a rapid proliferation of Embedded Vision technology and more and more products will emerge with visual inputs for consumer, automotive, industrial, healthcare and home automation applications.


From Image to Embedded Vision System


Embedded Vision


  • Imaging
  • Processing
  • Computer Vision

Embedded Vision Solutions

Fine-tuning between hardware, software and algorithms, is a difficult task. Selecting the right product parts is crucial. In order to ease this task we provide full solutions, designed by Avnet, giving you an out-of-the-box experience close to your application.

NXP & Avnet

Kinetis Camera Development Kit

Cost optimized video solution with NXP Kinetis K82F Cortex M4 and TD7740 camera module. Low resolution video streaming in QQVGA or still image capturing, with standard USB interface.

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STMicroelectronics & Avnet

STM32F7 Camera Development Kit

Cost optimized video solution with STM32 Cortex M7, touch screen display and TD7740 camera module. Ideal for IoT, home automation and industrial applications.

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Xilinx & Avnet

PicoZed Embedded Vision Kit

Machine Vision and Video development kit including the PicoZed 7030 SOM, PicoZed FMC Carrier V2, HDMI input/output FMC module and a PYTHON-1300 camera module.

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Camera modules, Image sensors and additional Embedded Vision products

TD next

Camera Modules

TD next provides a wide range of high quality, cost-effective and short time-to-market camera modules scaled to your needs from VGA to 5Mp. Tailor-made modules are developed for specific requirements.

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ON Semiconductor

Security Products

Security and Surveillance Camera Products: image sensors for Network Cameras and CCTV Cameras.

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ON Semiconductor

Image Sensors

ON Semiconductor’s ultra-light sensitive and high-speed image sensors enable your products to provide unmatched imaging solutions.

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Xilinx & Avnet

Smart Vision Development Kit

The Smart Vision Development Kit leverages the PicoZed System-On-Module (SOM) by providing a feature-rich, modular carrier card for machine vision applications. 

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ON Semiconductor & Avnet

PYTHON-1300-C Camera Module

This module features SXGA Resolution: 1280 (H) x 1024 (V) format, 210 frames per second (fps) at full resolution, 4.8 μm x 4.8 μm pixel size, 1/2 inch optical format and pipelined and triggered global shutter.

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Xilinx & Avnet

MicroZed Embedded Vision Kit

MicroZed Embedded Vision Kit build on MicroZed System-On-Module by providing a video specific carrier card with on-board HDMI i/o interfaces, audio CODEC, and a camera connector for optional camera modules.

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Creating a Next Generation of Machines that "See"

Most of us have heard about Google Glass. Many of use have seen the Microsoft Kenect for the Xbox 360...


Blackfin Embedded Vision Starter Kit - The Easy Way to Master Complex Embedded Vision

In the no-too-distant past, embedded vision involved simply adding elementary image capture. Today the art includes 3D image...


Designing Embedded Vision Systems Is Easier Than You Think

Vision has always occupied a special place in information science and popular culture.


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