Archive for the ‘system’ Category

From inspecting the packaging of consumer goods to surveilling traffic to identifying cells with fluorescence, vision techniques are increasingly being used in every industry imaginable. Whether you are using vision to improve the quality of your finished goods, guide your robot, or add traceability to improve your process, here are five considerations to keep in mind when you choose your vision system.

 

  1. Software is the key

    Ease of use is all about abstracting technology components in a system so that you can meet familiar application challenges as a domain expert. This means you can concentrate on your vision inspection while NI worries about how to make your applications work for different camera standards and take advantage of the latest hardware advancements.

    NI LabVIEW graphical programming software also provides a powerful and easy-to-learn environment (compared to text-based programming), and gives you access to hundreds of functions to enhance images, measure parts, identify objects, check for presence, and locate features through the NI Vision Development Module.

    imagea.png



    Through software, you can model system variations to see if your inspection will stand up to motion blur, changes in lightin, and camera      position. These common issues in vision systems can be seen in the image above.

  2. Choosing the right camera

    Each application is best suited to a certain type of image sensor, with options spanning area-scan, monochrome, and color sensors as well as specialty sensors such as thermal (infrared), 3D, and line-scan. It is important to be aware of inspection conditions when choosing among these different sensor types.  For example, inspecting quick-moving rolls of textile requires a line-scan sensor while measuring hot metal in a dusty, dark environment requires a thermal camera.

    NI has made it a priority to support the most widely used imaging standards and strives to integrate support for new technologies. With the NI Vision Acquisition Software driver package, you can use a common framework to acquire images from smart cameras; traditional plug-in frame grabbers using analog, parallel digital, and Camera Link standards; and consumer buses such as GigE Vision, USB, and IEEE 1394. These drivers are the first to natively support image acquisition from GigE Vision and IEEE 1394 cameras in real time.

  3. Intelligent vision through industrial connectivity.....


To read about numbers 3 through 5 as well as dive deeper into the first too points, check out this article on vision systems>>>

Hold on to your electric vehicle seat; energy is going digital. When a technology goes digital, it changes everything. For starters, the rate of technology improvement takes a new slope—transitioning from glacially slow to exponentially fast. Think about online search and how it changed the way we find information, how social media changed the way we receive news, and how electronic books and e-readers changed the way we buy books. When a technology goes digital, words like “library,” “newspaper,” and “bookstore” start to sound like relics of the past.

 

digital_energy_revolution.png

 

When an analog technology goes digital, it becomes an information technology—a software problem. The digital energy revolution is enabled by powerful software tools, ample computing power, secure Internet backbones, specialized embedded hardware systems, and one more thing—power electronics.

 

To read more specifics on how you will be impacted by this digital revolution in energy, check out this article>>>

At the fourth annual Graphical System Design Achievement (GSDA) Awards event, held during the NIWeek 2011 conference and exhibition, National Instruments honored 17 innovative applications developed by engineers, scientists and researchers from around the world and across a variety of industries. More than 300 authors from 20 countries submitted entries to the GSDA Awards, making this year’s pool of applicants the largest and most competitive in the awards’ history.

 

Innovators from eight application categories, ranging from robotics and academic research to advanced control systems and embedded monitoring, were recognized for using NI technology and a graphical system design approach to develop solutions to critical engineering and science challenges. Following are just a few examples of the awards presented:

 

  • The 2011 Application of the Year Award was presented to Christian Sames of the Max Planck Institute of Quantum Optics for developing a custom time digitizer to study fundamental quantum properties of light-matter interaction.

 

  • The Green Engineering award went to Vestas Wind Systems and CIM Industrial Systems A/S for designing and testing the durability of a wind turbine drivetrain.

 

  • The Humanitarian Award was presented to Kitasato University received  for developing the world’s first real-time 3-D medical imaging system.

 

To see the full list of award recipients and learn the details of their applications, visit www.ni.com/gsdawards/explore_2011.htm.

Around the world, car accidents claim more lives with each passing year. In fact, according to the Department of Road Transport and Highways in India, the number of auto accidents increased by 34 percent from 1994 to 2004, with one-quarter of crashes due to driver distraction or falling asleep at the wheel. To put the brakes on this deadly trend, engineers at the Indian Institute of Technology innovated with NI LabVIEW software and an NI Compact Vision System to create a real-time, reliable method to detect early symptoms of driver fatigue and prevent car accidents.

 

The most effective estimator of a driver’s fatigue level is the measure of percentage closure of eyes (PERCLOS), followed by the rate of eye saccades, or quick, simultaneous movements of both eyes in the same direction. As a driver grows drowsy, the rate of eye saccades slowly decreases.To power the driver attention monitoring system, engineers turned to LabVIEWand NI CVS-1456 to implement algorithms for real-time eye detection and PERCLOS and eye saccades measurement. These CVS devices are easy-to-use, real-time imaging systems that acquire, process, and display images from IEEE 1394 cameras, which are then saved using NI-IMAQ driver software.

0.4672.gifOffline results for eye detection and eye state estimation based on algorithm in NI Vision

 

 

The final result? A nonintrusive, stand-alone embedded system that achieved 6 fps with an accuracy of more than 90 percent on the CVS-1456 device. This driver attention monitoring system may not be a guardian angel, but it’s just another way that NI tools are helping the world put safety first.

 

 

>> Read the full case study here.