I am looking into a proof of concept based on Tensorflow / SQL / API to read a delivery note and then identify those products that are in an database of my stock. Then confirm the delivery note items are in a box and send a message via email of the completed shipment.
Proof of Concept overview
I want to use Tensorflow with SQL to pack a box from a delivery note, check the items and update a database that the delivery is reading for dispatch.
Products will be loaded into a product database and the database will also record the box is ready for dispatch, send an email and be ready for an API to connect too.
Populate product data base with an item
Take a picture of the product
Enter product name, product description product unique ID details
Take a picture of the Delivery Note, record delivery note number, product numbers, product description and number of items by AI using an overhead scanner
List those products on the screen, delivery note number, product number, product description and number of items per line
Pack the products in the box and check them off the screen by AI using an overhead scanner
Take a picture
Instruct the user to place delivery note in the box and ‘tack’ the box, not a full seal.
Take a picture
Click package ok
Send email of the delivery note and picture of product
Update a database with:
Delivery Note, delivery note number, product numbers, product description and number of items by AI using an overhead scanner and a field delivery packaged
May need 2 scanners for this process. One for the delivery Note and one for the packing
Can include weighing scales at a later date
Can include a fast moving scanner projected at a shute to find items that should not comedown the shute.