Vision system helps robot to sketch portraits

An industrial robot has been transformed into an artist capable of producing an authentic rendering of a person’s face.

A team of German researchers has transformed an industrial robot into an artist capable of producing an authentic rendering of a person’s face.

According to Martina Richter, a scientist at the Fraunhofer Institute for Optronics, System Technologies and Image Exploitation IOSB (Karlsruhe, Germany), the system first captures an image of the individual whose portrait is to be painted using a camera mounted on the arm of the robot.


After the camera has captured the image, edge detection software then seeks out the contrasting areas in the image and uses these to coordinate the movement of the robot’s arm.

The main difficulty the researchers faced when developing the system was to adjust the algorithm so that the sketched image would leave the impression of a portrait.

-- by Dave Wilson, Senior Editor, Vision Systems Design


RELATED PRODUCTS

Webcasts

Vision technologies for robotics: Application do’s and don’ts

This webcast will offer tips and examples for integration of machine vision systems in robotics applications. Expert Jeff Boeve of JR Automation will explain how to clearly define your pass/fa...

Solving factory automation challenges with machine vision

What do you need to know to implement your machine vision setup for industrial automation? This webcast will answer that question using real-world application examples—such as inspection, assembly,...
November 18, 2014

Performing effective 2D and 3D pattern matching in machine vision applications

This webcast, sponsored by MVTec, will explain how pattern matching works and in what applications is being used.

October 30, 2014

Overcoming the Limitations of Vision Systems in Manufacturing

Expert speaker Jim Blasius, Solutions Architect, Measurement & Automation Product Group at ADLINK Technology will examine the pros and cons of different compact vision systems, discuss current ...
October 28, 2014

Archives

Click here to view archived Vision Systems Design articles