Awesome work! I understand its a proof of concept for a hackathon but what's the value of AR here? If AI can indicate a fault with a high success rate how does AR help this situation?
Thanks! Good question, the AI part is clear, it will indicate if there is a big chance of break. The AR will help the operator decide without going to the actual break whether the AI is correct.
The AI only suggests, does not decide on its own. As such, an operator will be able to see the break in full detail (the top and bottom and up close) to better be able to decide whether to continue production, or do a reweld.
Also, sometimes the AI will not be able to provide a good input, as new materials might be welded together and no data is available for them. In that case, again it's up to the operator to actually give the go or no-go.
The AI will inform the operator after about 2 seconds, the operator then still has about 8 seconds to finalize his decision.
The current prototype is not really usable, as it has some big usability issues. We might work further on improving this prototype with the organizer, depending on their interest.
The AI only suggests, does not decide on its own. As such, an operator will be able to see the break in full detail (the top and bottom and up close) to better be able to decide whether to continue production, or do a reweld.
Also, sometimes the AI will not be able to provide a good input, as new materials might be welded together and no data is available for them. In that case, again it's up to the operator to actually give the go or no-go.
The AI will inform the operator after about 2 seconds, the operator then still has about 8 seconds to finalize his decision.
The current prototype is not really usable, as it has some big usability issues. We might work further on improving this prototype with the organizer, depending on their interest.