Tracking the time the person has spent in view is a legitimate task this software can accomplish (although this was called person/object detection/tracking long before AI was the newest buzzword).
The number of cups the baristas are making? Likely bullshit.
Exactly, tracking time in frame is a pretty standard CV task. Tracking # cups of coffee made would be require more sophistication than any cafe in the world could afford, if it’s even possible to do reliably.
If it can reliably recognise workers, and every worker is only making coffee for their own customers: count how many coffees the worker entered into the POS system based on timestamps.
Yeah that would be one way to do it without any computer vision tech. Recognizing workers might be a stretch even, that would require a model to be trained on shitloads of pictures of every single employee.
From how it looks in the screenshot, every worker has a differently colored tracer following their movement. Why mess around with face recognition, when you can just pin an led badge to every worker
Its crazy that this would be a thing AI would need to do when any half descent accountant could simply measure cups-poured by shift and sift the data for the most productive employees. Even then, the bottleneck in this shop is certainly not the staffers themselves. The work space is tiny and the equipment is antiquated. You’re investing god knows how much in AI when you’d be far better off renovating.
You could just track cups via the tills. I don’t get it, none of this adds anything at all that doesn’t already exist. You already produce a record of transactions per employee via receipts produced in the cash registers.
For what it’s worth, this guy is likely lying about the actual capabilities of this system.
that’s even worse because it means a bunch of people will get fired because techbros sold gullible business majors some machine learning snake oil
Tracking the time the person has spent in view is a legitimate task this software can accomplish (although this was called person/object detection/tracking long before AI was the newest buzzword).
The number of cups the baristas are making? Likely bullshit.
Exactly, tracking time in frame is a pretty standard CV task. Tracking # cups of coffee made would be require more sophistication than any cafe in the world could afford, if it’s even possible to do reliably.
Just think of all the resources needed to achieve this feat of human ingenuity. Only to use it to squeeze an extra .25% profit out of a barista.
Purely guessing for fun:
If it can reliably recognise workers, and every worker is only making coffee for their own customers: count how many coffees the worker entered into the POS system based on timestamps.
Yeah that would be one way to do it without any computer vision tech. Recognizing workers might be a stretch even, that would require a model to be trained on shitloads of pictures of every single employee.
From how it looks in the screenshot, every worker has a differently colored tracer following their movement. Why mess around with face recognition, when you can just pin an led badge to every worker
Because you can call it AI and squeeze an extra comma out of the coked-out VC ghouls funding your company
You could still do that without using any advanced AI. It’s not like the customers or VC ghouls are going to know the difference.
Calling algorithms AI is a time honored tradition.
Took the words out of my mouth
Its crazy that this would be a thing AI would need to do when any half descent accountant could simply measure cups-poured by shift and sift the data for the most productive employees. Even then, the bottleneck in this shop is certainly not the staffers themselves. The work space is tiny and the equipment is antiquated. You’re investing god knows how much in AI when you’d be far better off renovating.
You could just track cups via the tills. I don’t get it, none of this adds anything at all that doesn’t already exist. You already produce a record of transactions per employee via receipts produced in the cash registers.
The last decade of western technological advancement in a nutshell.