Electronics > PCB/EDA/CAD

Neural Network powered Assembled PCB inspection tool (AOI)

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jpedroc:
Hi all,
     We have developed a neural network capable of detecting faults on the electronics components placed on a PCB just from a photo.
 The service has been released a month ago: www.AgnosPCB.com

Please feel free to take a look at our site and the current visual inspection tool: the web App https://app.agnospcb.com/ (You just need to drag and drop the photos you have taken to your PCBa)

This neural network powered inspection tool can detect missing/misplaced or rotated elements on any PCBA. It does not matter the type of elements placed/ PCB architecture/ color or size of the components.




How does it work?:
 The neural network uses a reference PCBA photo (a PCB that has been previously checked) and it will compare that reference with all the photos of PCBAs to be inspected.

The visual inspection takes seconds (from 2 to 5). Any mid-range smartphone can be used to take the photos (>8 Megapixels).

This fast visual recognition tool is extremely useful for low or medium quantity PCBAs batches

If you were interested in trying our APP, we will happily provide a USER ID / PASSWORD for free to inspect boards. There is no equipment investment required. Just your smartphone camera: https://www.agnospcb.com/how-to-use-your-camera-as-aoi
NOTE: For heavy workload, we have designed the inspection platform: https://www.agnospcb.com/agnospcb-inspection-platform

Anyone interested on trying the neural network, please contact me at: info@agnospcb.com or here https://www.agnospcb.com/contact

John C

ThomasRR:
This is extremely interesting. We manufacture a lot of "small number batches" and a tool like this will save us a lot of problems (if works fine). Count me in
Email sent. How many "test inspection" are you providing?
Can I use my iphone for the test stage?
Thanks
Thomas

jpedroc:
Hi Thomas.
 Sure. User account details sent.   ;)
In the email, you will find some tips about how to use your smartphone to take the photos.
Just avoid light reflections on the PCB´s surface

mikeselectricstuff:
I've always wondered how effective a simple flicker comparator would work - alternate the screen view between a reference image and live camera view, with some simple difference enhancement.
Should be doable on a RasPi pretty easily.

Daixiwen:
This looks interesting.
I have some concerns about confidentiality though. What do you do with the pictures after they have been processed? Are they stored on your server? Who would have access to them?

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