I'm not sure about GPT, because this is visual task.
Good examples are typical courier service, or FedEX. Or companies like Amazon make their own delivery services.
They usually have standard boxes/envelopes with standard barcode markings for correspondence.
All these boxes/envelopes gathered from sending offices and concentrated into sort facility, where machine vision could sort them, to separate container for each destination branch office, or for some places, big central office have it's own container.
Than containers load to big truck and run to destination city, where unload at destination branch office.
In destination branch office next sorting distribute packages to containers of small offices.
Then smaller truck deliver containers to small offices.
Similar thing happen on returns, just in target office created new mark and placed over old mark.
What could be wrong? - Some delivery companies allow containers of free form, not just rectangular or envelopes, just limiting weight and sum of sizes, so you for example could send car body kit, or skis, not inside rectangular container.
For human, handling such things is trivial task, but for machine it is nightmare. But if this thing will see something like GPT-4, which claimed multimodal, possible it will detect it right and understand how to handle it.
Good examples are typical courier service, or FedEX. Or companies like Amazon make their own delivery services.
They usually have standard boxes/envelopes with standard barcode markings for correspondence.
All these boxes/envelopes gathered from sending offices and concentrated into sort facility, where machine vision could sort them, to separate container for each destination branch office, or for some places, big central office have it's own container.
Than containers load to big truck and run to destination city, where unload at destination branch office.
In destination branch office next sorting distribute packages to containers of small offices.
Then smaller truck deliver containers to small offices.
Similar thing happen on returns, just in target office created new mark and placed over old mark.
What could be wrong? - Some delivery companies allow containers of free form, not just rectangular or envelopes, just limiting weight and sum of sizes, so you for example could send car body kit, or skis, not inside rectangular container.
For human, handling such things is trivial task, but for machine it is nightmare. But if this thing will see something like GPT-4, which claimed multimodal, possible it will detect it right and understand how to handle it.