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Comment by mrbigbob | Hacker News Reader

Another neat app if you have an iphone is Brickit which scans a large pile of your lego pieces and gives you build ideas.

https://brickit.app/

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This one actually works :)

Source: I'm responsible for ML development at Brickit

would love to hear more on the architecture choices you made.

do your models run on device? what's the general CV backbone?

Everything runs on device in tflite and it gives us some headaches, especially Android ecosystem.

We do not use anything fancy, detector is ssd-like, and classifier is either resnet or efficientnet depending on your device capability

One question about Brickit - the main usecase I and many many dads of Lego kids have is that our kids want to reassemble sets and we spend ages searching for these pieces. Yet Brickit works by identifying and recommending its own mini-set lists. Is this a usecase that is not in scope (because of business model) or is technically difficult or unsatisfactory in execution (colors, accuracy)?

The use case "let me reassemble all the parts that I have" is out of scope of Brickit app. It works explicitly with the contents of a single scan, that's why you see small ideas to build: it's just what fits into the parts you scanned.

But! We recognize the intent, and we have something in the works which will be released very soon, stay tuned!

Great! I will follow your updates!

My kids mixed up about 20-300 sets, some big ones, and it feels quite hopeless sorting them through. Any tips on how to untangle, or is it a hopeless cause? I do vision research and am mulling an AI based approach too.

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