Many routines and procedures in the industrial laundries are both heavy, filthy and potentially dangerous, and on top of that, employees risk making mistakes when executing repetitive tasks.
That is why the now mature solutions combining robots, artificial intelligence and automation come into the picture.
Among the tasks which are most obvious to get rid of is the sorting and handling of soiled side garments. With modern technology it is entirely possible to obtain a setup where an absolute minimum of human interaction is needed:
The soiled garments can be dumped on conveyors where robots pick the items one by one to feed an X-ray scanner that detects unwanted items hidden in the pockets. At the same time, an RFID chip reader is registering the individual garment to decide how it should be sorted for proper handling further on in the system.
All those tasks can be achieved with employees only needed to empty the pockets on the garments that are rejected by the x-ray – and to ensure that the system is running as it is supposed to.
The challenge recently has been to make those robots smart enough to replace all these the human functions, but with artificial intelligence, it is now possible to let the computer analyze massive amounts of data and then find patterns that open new possibilities for the laundry business.
An example could be systems based on vision sorting alone. This is very useful in laundry businesses where the garments aren’t tagged because the items represent such a low value that the tagging doesn’t make sense as a business case.
The potential business cases in the laundry world that can be done with the help from automation, robots and AI today are practically endless.
As a rule of thumb, you can say, that if a typical person can perform a mental task with less than one second of thought, we can probably automate it using AI either now or shortly.
There is no doubt that the human employees at the industrial laundries will perform jobs that are not as hard or fatiguing as today, and more focused on servicing the end users or creating value to the company in another way.