This webinar will discuss some techniques used to capture 3D images, the resultant data points from these capture methods and how to process the data into useful results.
3D capture techniques include laser triangulation, stereo imaging, time of flight, contact methods and fixed pattern projected light. What is the resolution, how fast can it capture, what is the minimum and maximum working distance, what ambient conditions can the imager work under. Each method has its benefits and failures and each will be discussed.
The data that is collected from the 3D imaging devices can be in various forms and requires an understanding of how the data is to be used. Does the user want to track a human or an object, measure an object, compare the object to what it should look like. All of these need to be considered once the data is collected before it can be processed. Once the data is processed what do you do with that data? Do you send it to a robot or feed it into a PLC to take action. Do you record and display the images for human viewing?
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Filed Under: Rapid prototyping