> I would have assumed that AI/ML would be increasingly used in mundane tasks. Like quality control for small factories. You don't need PhDs, you just need people who are familiar with some large commonly used APIs.
CV has been common in SMD pick-and-place machines for 15 (probably 20, 25) years. For industrial applications, hardware size and price essentially do not matter, so the new AI approaches do not bring anything fundamentally new to the table (industrial solution vendors will eventually integrate smaller and cheaper solutions, but price is just not a huge discriminator here). What's interesting is the scaling down that is happening and making AI viable for consumer applications where budgets and device size are restricted.
CV has been common in SMD pick-and-place machines for 15 (probably 20, 25) years. For industrial applications, hardware size and price essentially do not matter, so the new AI approaches do not bring anything fundamentally new to the table (industrial solution vendors will eventually integrate smaller and cheaper solutions, but price is just not a huge discriminator here). What's interesting is the scaling down that is happening and making AI viable for consumer applications where budgets and device size are restricted.