the goal is to hire a single operator to ensure the feeder and coins are moving along the conveyer and being diverted correctly.
basically, the Kinect and conveyer willl need to scan all of the input being feed down the tube onto a surface for AI pattern analysis.
I have some leads who may really enjoy this type of back of house solution to process a substantially large volume of currencies.
I have started by acquiring the Kinect, the cable to power plug into a computer, and have looked into Processing for Kinect to get the Kinect to turn on with my Apple computer.
Be cause the parameters will vary from client to client (although with a lot of overlap), I want to see if this can be provided to small business at a price point that makes Microsoft’s technology inclusive at businesses looking to invest in some value adding technology.
Sounds like an interesting use case. Using AI Builder and our new Image Classification model in preview with Lobe sounds like a good fit for this scenario. You can access AI Builder in the left menu from the Power Automate web portal, click on the Image Classification model and it will guide you to install the Lobe desktop app. Lobe is free to use to train Image Classification models - give it a try and let us know how it performed for your use case.
well isn’t that great that it’s free to use!
I’ll see how your method stacks up to wat I see in the marketplace and dare to compare.
If yours is better, do you want some money?
If our solution works to classify currency on your conveyer belt, I'm happy - no need to actually send me the currency 🙂 If you have interest in other AI Builder scenarios, we'd love to have you as a customer - feel free to check them out too.
I can’t wait to test your idea out and like see if it works. I have an Apple computer, will i be able to use for testing?
I got processing installed and I thought I got the library needed but I couldn’t see my Xbox Kinect that was plugged in. 😕
Yes you can download Lobe for Mac.
Recommended config: https://www.lobe.ai/docs/tips/tips
-OS: Mac OS X Mojave 10.14 or later
-CPU: Apple M1 processor is not yet supported
-RAM: 16GB RAM
-Disk: 10GB free disk space
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