A clear vision to enable innovation

Embedded Vision Introduction (MM)

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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.

Embedded vision includes:

  • Imaging
  • Processing
  • Computer vision
  • Memory

embedded vision system title (LC)

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From image to embedded vision system

Embedded Vision Block Diagram (RI)

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Embedded Vision Solutions (LC)

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Embedded vision solutions

Prod-Special Kinetis Camera Dev Kit (MM)

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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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NXP Kinetis Camera Development Kit

Prod-Special STM32F7 Camera DK (MM)

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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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Prod-Special PicoZed Embedded Vision Kit (MM)

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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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embedded vision related products (LC)

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Related products

Prod ON Semi Low Lighting image sensors (RM)

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ON Semiconductor

Sensors for low light imaging

See the formerly unseen with image sensors equipped with technologies which enhance the sensor’s ability to capture images under challenging light conditions.

Prod TD next Camera Modules (RM)

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TD next

Camera modules

TD next provide a wide range of high quality and cost-effective miniature camera modules for VGA, 720p and 5Mp resolution.

Intel

Joule™ Module

Intel’s newest and highest-performing compute module and entire system on tiny module (SOM), pre-certified, concept to prototype to production much faster and at lower development expense.

Prod ON Semi Python 1300-C (BN)

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ON Semiconductor

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.

Prod ON Semi Image Sensors (RM)

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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.

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.

Smart Industry

IoT business news

Discover the world of the Internet of Things Business. Read articles, blog posts and interviews from the top IoT industry leaders like IBM, Amazon or Microsoft. like

Webinar | ON Semiconductor

Sensing in low light conditions

See the formerly unseen | Date: 11 July 2017 | Time: 10:30 AM CEST

Image Sensor part

EV TechDays Event Spotlight (GBD)

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Seminars

Embedded Vision TechDays 2017

From image sensors to machine learning vision system.

People paying attention at our interesting seminar

Contact us

Have a question?

Do you have any questions about our Embedded Vision solutions? Then please feel free to contact our experts at embedded-vision@avnet.eu.