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Bill, I think it depends on to what extent you want a DIY project. If you buy a camera from a vendor with a basic SDK they'll likely have video viewer sample code. I know Basler and the Imaging Source do. To implement zooming and draw the target I'd do it in software. You can stitch in an external library to your application and leverage that code. I'd suggest OpenCV or Emgu CV (an OpenCV wrapper) to do that heavy lifting.

You could build it yourself or you could hire us (or someone else) to do it. For basic zooming and a target, it'd take a software guy about 5 days to put together in C++ or C#. You'd likely want to modify and rebuild OpenCV or Emgu CV to always put your target in the middle of your zoomed image.

You could also buy something more off the shelf like John suggests below and set that up. I really don't know if the exact product you want exists though. If it's a fixed station you need something by Scienscope could work.

杜安，这是可能的。该系统需要进行编程以识别每个部分的关键功能，然后根据发现关键功能进行一组检查。我不知道您有哪些零件，但是假设您有各种尺寸的垫圈，您想检查裂缝的裂缝，以及您想检查的磨损和裂缝和燃油阀组件的耦合，您想检查是否要完整。可以对系统进行编程以识别某些垫圈，并寻找边缘和不规则性（裂缝），识别某些耦合和测量磨损（厚度），并识别燃油阀组件，并检查每个组件在适当的位置。

One place you may run into issues is scaling this up as each part and the corresponding inspection(s) would have to be programmed separately. How many different potential parts are you talking about? Feel free to call or email.

Sanaulla, It sounds like the overall assembly is large but there are two smaller areas of interest. If this is the case your best solution is likely a two camera system. One camera aimed at one "toe" and other at the other "toe". A vision inspection running on a nearby computer would analyze both images and output the difference in the two alignments along with whatever else you needed. That said, we'd need to see pictures of the toe, the alignment to be measured and have some idea of the precision you need. Let me know if we can help you out. In general large assemblies aren't a problem, it's the size of the "area of interest" relative to the defect that matters most. If there are multiple areas of interest far apart from each other a multi camera system is likely best.

Tom

Marios, This is something we could write for you. We've built a handful of custom camera viewer applications for other customers.

We also have a GigE vision viewer we've built. We've not used it with Imaging Source GigE cameras but as it's a common standard it should work equally well.

Tom

Carl, We're always interested in expanding our machine vision lab. What do you have? Can you send pictures and a list?

Thanks,

Tom

格雷格,如果有两个或三个以上类型的blocks the easiest way to ID the blocks is going to be by adding a barcode or datamatrix to the blocks (if that's possible). This will also give you downstream serialization and traceability. Pattern matching and Identification via vision can get finicky when there's a lot of variety. Do you have any pictures of these blocks you can share as far as the other defects? Depending on the pictures I would recommend shipping samples to 1-2 integrators for some testing and take things from there.

David,

AIA offers professional certifications to integrators. I would select someone who has received an advanced certification and ask for customer references.

We'd hope you'd select us, but anyone on the list of Advanced integrators can help you.

Tom

迈克（Mike），是否还有其他类型的绿色植物物质流过，系统需要将侵入性与非侵入性区分开？另外，系统可以检测绿色物质并将经验法则应用于侵入性多少？

Jana，要确定多少种不同的产品？该设备需要手持式设备还是这些产品是在输送机上以董事会形式的？

我们很乐意直接通过解决方案进行讨论。我不知道有货架产品。

Tom

约翰 - 这听起来像是一个有趣的问题，可能需要设计的解决方案。最终目标是到达操作员可以在现场使用的手持单元，或者本机将分析标本带到实验室。

To do accurate color analysis we'll want to use full spectrum white light. For the voids a low angle of light could be best as that's typically used to pick up scratches, dents and other non-uniformities in surfaces. We'd probably also need to come up with a calibration to make sure we're providing consistent readings over time.

Happy to discuss further. These are always interesting problems to talk through. Send me an email or call at 303-832-1111x101.