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Using AI and AR to improve ArcellorMittal's production process at a Hackathon

lab.onebonsai.com

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Re: Using AI and AR to improve ArcellorMittal's production process at a Hackathon

#11

Post by ak39 »

peterbonney wrote: post #10

This is a really cool piece of engineering, but I'm bothered by the idea that the going rate for a huge multinational corporation to get a prototype of a potentially extremely valuable technology is less than 10k of prize money [1], plus a "mini-drone race" and "snacks and food". Maybe it's just me, but I find this type of corporate-sponsored hackathon exploitative and distastefull. We're not talking about an event t…

I'm with you on this. I can't imagine any other complex discipline where experts offer their time & creativity to the lowest bidder so quickly.

Programming seems uniquely generous in this regard. Or stupid.

Re: Using AI and AR to improve ArcellorMittal's production process at a Hackathon

#12

Post by onebonsai »

Hey!

Thanks guys for your comments! I'm the writer of the article (Evarest).

Just a bit of an update in the mean while :) Our AI team is now busy writing a bit more detail on the actual AI part of the project. The project used:

Random Forested Height Data Deep Learning Models

We trained on the entire dataset of 60.000+ elements, but did pre-processing on the data. I am not placed to answer detailed questions on the AI part, but we will update the article soon with more details.

Note that this is not a perfect result, nor that we claim to be all-knowing or have all the answers. This is a result from a hackathon, which involved working in suboptimal conditions under heavy time constraints.

As for the AR part, we did not have access to AR helmets. We are aware that not all the data that we showed would work on an AR helmet (currently). However, this tech is totally feasible in the short to medium term. Also, it is completely feasible on tablet or similar.

The concept of the hackathon was to show the potential of these technologies, and to integrate the AR and AI, which I find we succeeded in.

Re: Using AI and AR to improve ArcellorMittal's production process at a Hackathon

#13

Post by Simoncarbo »

webbrahmin wrote: post #5

Can you please elaborate on the deep learning part. What kind of network dis you use?

We used two convolutional neural networks, one for each side of the weld. Features extracted by these nets are then concatenated, as well as the meta data. Two fully connected layers are then applied on this vector, giving the final prediction.

Everything was trained on the raw images resized to 20x150 pixels.

Re: Using AI and AR to improve ArcellorMittal's production process at a Hackathon

#14

Post by FLUX-YOU »

I just got into Unreal Engine with the VR template project, which includes grabbing/teleportation functionality by default. It's been really easy to get into and if you have a headset, I'd really recommend trying it out if you've had a VR development itch.

Re: Using AI and AR to improve ArcellorMittal's production process at a Hackathon

#15

Post by Drdrdrq »

MariuszGalus wrote: post #6
ambicapter wrote: post #2

Damn, how many years of experience do you need to be able to come up with workable solutions as fast as this?

6 months, here's why: They random forested height data, everyone random forests these days. It's quick and dirty and yields good accuracy. Not only that, everyone seems to support a built in Random Forest training model, programs from pandas/numpy/scikit to R has it built in. Height data seems the easiest to go by, to short and it has a kink that may cause cracking in the future as the metal oxidizes. What were their…

Multiple years, here's why: you need to decide what will work and what will not, as you don't have time to go the wrong route. And that takes experience which it would be difficult to gain in 6 months.

Re: Using AI and AR to improve ArcellorMittal's production process at a Hackathon

#16

Post by onebonsai »

peterbonney wrote: post #10

This is a really cool piece of engineering, but I'm bothered by the idea that the going rate for a huge multinational corporation to get a prototype of a potentially extremely valuable technology is less than 10k of prize money [1], plus a "mini-drone race" and "snacks and food". Maybe it's just me, but I find this type of corporate-sponsored hackathon exploitative and distastefull. We're not talking about an event t…

Thanks for your view. However, it is important to see this event also for what it is. It is a way for Arcelor to think out-of-the-box, and get input from people that are not directly linked to their business. Secondly, it is a way for students to get a glimps of what the corporate projects and challenges are.

Additionally, for us, as professionals, it is a way to show, although in a very rough fashion, what is possible, and where we can help. We saw this event more as a team building than work.

The result we got at the hackathon is a very rough prototype, not a finished product. In no way, this can directly be implemented on the floor. As such, input from experts is still required, either us, or other experts in the field.

Therefore, these hackathons are useful, in my opinion, not only to the company, but also the participants :)

Re: Using AI and AR to improve ArcellorMittal's production process at a Hackathon

#17

Post by onebonsai »

ambicapter wrote: post #2

Damn, how many years of experience do you need to be able to come up with workable solutions as fast as this?

I am no expert into AI. The AR part we learned because we are busy in VR. It is a natural evolution in that case, as we can use the workflow we are used to in VR.

The AI part however is more complex, as it requires understanding of the concepts and methodologies behind it. We used Deep Learning methodologies for this project. This is an upcoming field in AI, which evolves very quickly. If you are interested in it, it's a great time to start learning the basics of it!

Re: Using AI and AR to improve ArcellorMittal's production process at a Hackathon

#18

Post by onebonsai »

UPDATE: Thank you for your comments and remarks !

Based on the inputs of the community, we rewrote the AI part of the article (see section 'Building the AI Assistant'). More details are available now.

--> https://lab.onebonsai.com/arcelormittals-hack4steel-hackaton...

Re: Using AI and AR to improve ArcellorMittal's production process at a Hackathon

#19

Post by onebonsai »

FLUX-YOU wrote: post #14

I just got into Unreal Engine with the VR template project, which includes grabbing/teleportation functionality by default. It's been really easy to get into and if you have a headset, I'd really recommend trying it out if you've had a VR development itch.

Indeed, thanks for the comment! Unreal Engine is a great engine to quickly build prototypes in. We are used to work with the included VR Template of Unreal, and it most of the times works great.

Also for more serious projects, Unreal did not let us down.

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