Embedded vision in industrial robotics: Use cases transforming Industry 4.0

The industrial revolution had its inception in the 18th century. The first industrial revolution was characterized by the shift from an agrarian and handicraft society to a more machine-oriented and urban economy. The second saw electricity dominate industries and households in the late 1800s and early 19th century, whereas the third revolution witnessed computers making automation faster and more efficient leveraging processing power and internet connectivity in the second half of the 20th century. Finally, the fourth industrial revolution – or Industry 4.0 – is all about making systems smart and autonomous by harnessing the power of machine learning, artificial intelligence, the internet of things (IoT), and edge computing to enable faster decision-making. And robots play a key role in creating a smart industrial environment leveraging these new advancements fueled by Industry 4.0.

Embedded vision contributes to transforming Industry 4.0 by empowering robots with cutting-edge vision-enabled functionalities. As per the World Robotics 2020 – Industrial Robots Report published by the IFR (International Federation of Robotics), 2.7 million robots were operating in factories worldwide in 2019. This was an 85% increase from 2014, which clearly indicates a rapidly growing market. The adoption of human-robot collaboration is on the rise too. As per the IFR report, installations of co-bots (collaborative robots) grew by 11% in 2019. Interestingly, embedded vision finds applications in traditional robots and collaborative robots.

In order to learn how robotic vision impacts Industry 4.0, it is first important to understand its applications and use cases in an industrial environment. This article aims to look at some of the most common industrial use cases of embedded vision in robotics. Read More>>

Hi @kevinjackson, welcome to the forum :slight_smile:

While embedded vision is definitely an interesting topic, would you mind explaining a bit more about how the company/products you’re linking to are related to the underwater environment/robotics scene?

This comment covers some options that have previously been discussed on this forum, and this post is a good example of an embedded vision product that’s tailored to the underwater environment. The blog post you’ve posted/linked to seems a bit out of place here without further context on how it is (or could be) relevant to the people who are on this forum :slight_smile:

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The below-linked camera is IP67 rated camera which means water and dust proof camera. Using GMSL2 technology this camera can be placed 15 meters from the host processer.

This IP67 GMSL2 HDR camera can be plugged into NVIDIA Jetson AGX Xavier for edge AI processing.

The targeting applications of this camera are
» Autonomous Mobile Robots
» Patrol Robots
» Warehouse Robots
» Fleet Management
» Surround View System
» Smart Traffic Management
» Industrial Robotic Arms
» Agriculture Robotic Arms

Watch this video to know more: Surround View Camera for Industrial & Commercial Vehicles | Fleet Management Systems | e-con Systems - YouTube