The Warehouse PHRAY Gun

Presenter: Karli Martin

Co-Presenter(s):
Anna Banzer, Natalie Valle Medina

Presenter Status: Undergraduate student

Academic Year: 20-21

Semester: Spring

Faculty Mentor: Mohamed Salem

Department: Engineering

Funding Source/Sponsor: Koret Scholars Program

Screenshot URL: https://drive.google.com/uc?id=1ieQAeAcqpVb5zP7BM45eFXzryuJFRpWx

Abstract:
The problem we are exploring addresses warehouses need to detect and keep track of storage containers. Our proposed solution involves implementing machine learning techniques to design an electronically scanning phased array system. The electronically scanning phased array system will be able to scan for multiple tags. The PHRAY Gun will be able to scan those tags and know the items in those containers without having to physically walk up to the container and scan the barcode. A significant obstacle of designing a phased array system is adjusting each antenna characteristic needed to accomplish electronic scanning, which can be addressed through machine learning techniques. The user to be able to select a mode on the device in order to perform automatic electronic scanning and detect 5 or more objects containing radio-frequency identification tags, or RFID tags. Our system will output information regarding the RFID tags detected by printing an arrow on a Liquid Crystal Display (LCD) to indicate the direction of the location of all detected RFID tags along with their Unique Identification (UID) numbers. We plan to design and create a handheld device that can detect objects containing RFID, tags, reading the unique identification number on these tags, and indicating the direction of their location.