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Visual Intelligence Gives Robotic Systems Spatial Sense

This article is an expanded version of one originally published at EE Times' Embedded.com Design Line. It is reprinted here with the permission of EE Times. In order for robots to meaningfully interact with objects around them as well as move about their environments, they must be able to see and discern their surroundings. Cost-effective […]

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Next Generation: Robots That See

By Carlton Heard Vision Hardware and Software Product Manager National Instruments This article was originally published at Control Engineering. It is reprinted here with the permission of CFE Media. Visual servo control: Vision used for robotic or machine guidance also can be used for in-line part inspection to enhance product quality with traditional feedback systems.

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The Embedded Vision Summit East: Westford, MA — Wed, Oct 2, 2013

On Wednesday, October 2, the Embedded Vision Alliance will return to the Boston, Massachusetts region for the third iteration (and second annual East Coast edition) of the Embedded Vision Summit. This free day-long technical educational forum will take place at the Regency Inn and Conference Center in Westford, Massachusetts. The Embedded Vision Summit is designed

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Embedded Vision on Mobile Devices: Opportunities and Challenges

by Tom Wilson CogniVue Brian Dipert Embedded Vision Alliance This article was originally published at Electronic Engineering Journal. It is reprinted here with the permission of TechFocus Media. Courtesy of service provider subsidies coupled with high shipment volumes, relatively inexpensive smartphones and tablets supply formidable processing capabilities: multi-core GHz-plus CPUs and graphics processors, on-chip DSPs

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Developing a Quality Inspection Method for Selective Laser Melting of Metals with NI Hardware and Software

By building our system with the NI FlexRIO FPGA adapter module incorporated in an NI PXI system with LabVIEW, we can more effectively monitor and control the quality of the SLM process. – Tom Craeghs, Catholic University of Leuven The Challenge Controlling and monitoring the selective laser melting (SLM) process in real time to more

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Developing a 3D Optical Surface Profilometer Using LabVIEW and NI Vision Development Module

The device performs to a high standard with a total build cost of less than €5,000 and a development time of less than three months. This is largely due to the ease of hardware integration provided by LabVIEW and also the advanced and high-speed data processing capabilities that LabVIEW and NI vision provide. – David

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Using LabVIEW and the NI Vision Development Module to Ensure High-Quality HMI Products

We designed automated vision interpretation software (AVI) using LabVIEW and the NI Vision Development Module, which presented the most efficient and powerful capabilities for developing our automated vision interpretation concept and shortening our time market. – Dan Olsson, Infotiv AB The Challenge Designing an automated test system to interpret text, symbols, and indicators to ensure

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Designing an Integrated Vision and Robotics Cell for Terminal Block Assembly with NI Vision Hardware and Software

With the NI standard, we can implement fast integration of any product in the projects, shortening development time and costs. – Cristiano Buttinoni, Certified LabVIEW Developer (CLD), ImagingLab The Challenge Designing a system that tightly integrates robotics and vision for assembling electric components with short batches and a variety of products. The Solution Installing five

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Building an Integrated Vision and Robotics Packaging Line for Cosmetics Using NI LabVIEW and Vision Hardware

By adopting the LabVIEW platform, we successfully programmed, prototyped, and tested new robotics applications very quickly. – Ignazio Piacentini, ImagingLab The Challenge Identifying the position and orientation and performing quality control of face powder brushes, and programming a robotic system to pick up the brushes and place them in a powder case on an eight-slot

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3-D Sensors Bring Depth Discernment to Embedded Vision Designs

By Michael Brading Automotive and Industrial Business Unit Chief Technology Officer, Aptina Imaging Kenneth Salsman Director of New Technology, Aptina Imaging Manjunath Somayaji Staff Imaging Scientist, Aptina Imaging Brian Dipert Editor-in-Chief, Embedded Vision Alliance Senior Analyst, BDTI Tim Droz Vice President, US Operations, SoftKinetic Daniël Van Nieuwenhove Chief Technical Officer, SoftKinetic Pedro Gelabert Senior Member

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