I have been thinking of a problem i have here with a calendar scheduler where i basically want to split a year into seconds and have access to the dataset of whole year.
In this year i assign blocks of time that varies in size can be big or can be small, it has to be placed in non assigned places ( which isnt occoupied with blocks already ) - also the option to insert so the map changes all the time.
To do this programatically, if i ex have a 10 day in seconds block i want to fit it, today i would go through the whole year and try to compare 10 days of seconds ( alot of bytes if 1 byte represent a second ) this is a heavy process.
But if i ex illustrate my year visually ( ok it would be a very wide image ) and look at the size of the block i need to fit in, i am visually super fast in spotting places where it might fit or fit.
Would this be possible to do with computervision ? Or will the computing power in computer vision be way over the line compared to what any algorithm can do ?