Hello I would like to build a system that will count custom objects passing through a conveyor belt. We can say that will be passing several objects at the same time there will be something like accumulation of objects, this system must work non-stop.
With that I would like to know which framework you guys recommend me for this application, which will be better for training and if jetson nano can meet these needs?
I started to use and study the deepstream/transfer learning toolkit I would like to know which training model you think is best in my situation I will not use people but use objects that were too close to each other, as I see I can’t find a good model for the application of detecting multiple objects close to each other.