Title | Industrial Inventory tracking and Counting with Advanced Feature Point Matching |
Authors | Md Sakib Alam(mdsakib.alam@northsouth.edu) |
Supervisor | Rashed Shelim |
Semester | Fall, 2018 |
Our proposed Method is a novel method for the localization and tracking of industrial objects.Here we count the specific company’s inventory and pass it to the android app to the remote company or product owner.So,from distant he would e able to track the stock of different products and saves his time.The whole process is automated.Here we are applying SIFT,AKAZE algorithms to track the specific objects.