Overview Deep Learning inspects contents of each custom order. Counting and identifying items in box after packing decreases returns and increases bottomline.
Currently no system exists that is flexible enough to handle constantly changing package size and contents. Human inspection takes more time than the packing itself making for an inefficient system.
The Overview Solution
Our Deep Learning enables the creation of a generalized item detector. This tool combined with the Overview deep learning classifier identifies each item in box. Overview’s barcode scanner reads the correct package contents and verifies correctness. Overview’s software allows full traceability with our cataloger feature and makes disputing returns easy.
How does the
Deep Learning Work?
Easy integration combined with state of the art models
Object detector finds and crops items placed in box
Count of items in box is verified
Crop classifier identifies items individually
Barcode scanner reads barcode and validates box contents