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Machine Vision

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EPSON Robots

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Advanced Illumination


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DVT Machine Vision

** 01/07/06 Hardware Shortform Catalog Download **

** 01/07/06 Software Shortform Catalog Download **

** 01/07/06 Download Latest Intellect 1.3.0 Software **

Machine Vision Training

Gain all the knowledge and skills you need to construct robust camera inspection systems. Light lunches will be provided to all attendees.

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Training Syllabus

DVT Hardware - SmartImage Sensor Hardware review including speed, memory, and CCD comparison. External devices such as the isolated break out Board (CON-IBOB), Expanded I/O module (CON-ETS), SmartLink, and Serial Converter will also be covered.

Intellect Basics - Introduction to the graphical user interface (GUI). This Topic will cover basic navigation of the GUI, setting Intellect options, and getting started with an inspection.

Machine Vision Skills - This section gives the user a look into how machine vision works. Fundamental skills are learned by examining Pixel graphs, Histograms, and a variety of applications from various industries.

Imaging - This topic will cover methods used to achieve a good image using both hardware and software. Topics covered will be image thresholding, lenses, FOV balancing, sensor gain, exposure time, strobing options, partial imaging, and image blurring.

Lighting and Optics - This topic covers basic light properties, source selection, common techniques used in machine vision, and a review of field applications.

Emulator - This topic covers basic light properties, source selection, common techniques used in machine vision, and a review of field applications.

Positioning Sensors - This topic covers the different methods of monitoring the movement of a part using Line sensors, Line fit sensors, Circle fit sensors, and Area based positioning sensors. The advantages and disadvantages of each algorithm used for position (Blob, Pattern Find, and Object Locate) will be discussed.

Counting Sensors - This topic covers how to utilize the counting Line and Area sensors. Inspection of colored parts using the color / pixel counting SoftSensor and importing colors to other inspection SoftSensor will also be covered.

Readers - This topic covers setting up an inspection for various types of 2D DataMatrix, 1D barcodes, and Optical Character Recognition reading.

Flaw Detection - This section covers how to setup inspections looking for flaws or defects present in a part.

Scripting - The basics of scripting in a SmartImage sensor will be covered: Background and foreground scripting concepts, variable types, conditional statements, accessing SoftSensor information, setting script variables, string manipulation, and Debug statements.

Preprocessing - This topic covers the use of Filter sensors designed to enhance an image before a SoftSensor inspection occurs.

Communications - This Topic will cover the use of Digital I/O for product selection, triggering, and pass/fail signals. Basic TCP/IP communication using DataLink will be used to transfer inspection data to external devices.

Displaying Images - This topic will cover the various ways available to display images from the SmartImage Sensor including the SmartLink hardware device, ActiveX controls, and the integrated web server.

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Training Session