Wouldn’t it be nice to start realizing serious cost efficiencies in 2013? Take steps towards implementing automatic inspection in your manufacturing facility. An informational seminar might be the perfect first step in understanding what benefits machine vision can provide you. Call FSI for upcoming dates on an Introductory Machine Vision course that can give you the information you need – 630-932-9380.
Another important component of a successful machine vision system is choosing the appropriate filter. The right filter can dramatically improve the work efficiency of a vision system. Filters are used to increase contrast, separate color or control camera exposure. When increased contrast is achieved, a system has greater accuracy and can sometimes operate at an increased speed. Filters also help to protect the lenses behind them. FSI Technologies Inc. can offer a wide variety of filters to meet the needs of many different types of applications. Filter types include “bandpass filters”, “polarizing filters”, “longpass filters” and “neutral density” filters.
A properly engineered lighting solution is one of the most important components of an automatic inspection system. Manufacturers often wonder what type of light will do the best job. LED lights have become a popular choice for machine vision lighting in recent years for a variety of reasons:
However, often times the wiser choice is to go with a high-frequency fluorescent light. Advantages to this type of light are:
The type of inspection you are doing, the differences you are attempting to highlight and your overall budget will lead you towards the ideal light for your solution. For more information about machine vision lighting, visit www.fsinet.com/Vision-Lighting.htm.
In collaboration with our partners, EyeVision Technologies, FSI is proud to announce our “ChipEye 5-Side” inspection system. This system is designed to inspect components from 5 different angles (top and four sides) at the same time. When used in combination with a specialized software solution, “Chip Control”, this unit is uniquely suited to inspect semiconductor parts. It has a robust, industrial-strength frame and features a 5-megapixel camera that can detect even the tiniest of defects and measurements equal to a micrometer. A standard model supports an image field of 5 x 5 mm, accuracy up to 1 micrometer and resolution of 640 x 480. If you think this system sounds appropriate for your application, please consider speaking with one of our Engineers about it at 630-932-9380.
Are you looking for a fully-equipped and factory tested machine vision system for experimental use at a reasonable price? The FSI Technologies Inc. Experimental system may be right for you. FSI offers four different models to choose from depending on what software and camera-style you need. For more information on the technical specifications of our systems, visit: http://www.fsinet.com/Express/Express-Experimental-System.htm.
FSI Technologies Inc. will be hosting its Winter 2012 NeuroCheck/Machine Vision training seminar in the western suburbs of Chicago on November 5-6, 2012. This is a 2 ½ day seminar covers courses MVC-101, MVC-102 and MVC-201 and includes topics such as:
Class location will be confirmed closer to the date. Please sign up at least 3 weeks in advance in order to secure your spot in the class. For more information about our upcoming training courses visit: http://www.fsinet.com/Training-Overview.htm.
FSI/EVT’s latest Smart Camera, the EyeCheck has a CPU core based on state of the art ARM technology with up to 1 GHz target clock and image processing acceleration by DSP. It has a Linux operating system with GUI. In addition, this tiny vision system has:
If you are interested in more information about the EyeCheck Smart Camera, call 630-932-9380.
FSI integrates a new 3D imaging sensor into its machine vision product line. 3D sensors provide support to a whole new range of robot control and inspection applications. In some cases, depth sensors can be used alongside normal cameras to support solutions aimed at bin picking, grasping of products through robot control, piloting palettes, sorting products and object recognition. In addition, this technology will aid in determining spatial position, measurements, etc. For more information visit 3D vision System