department of electrical and computer engineering mdr presentation team frij

Department of Electrical and Computer Engineering

MDR PresentationTeam Frij

Department of Electrical and Computer Engineering

FRIJAndrew Paisner - EE

Carlton Jones - EE

Adviser: Prof. David Irwin

Shravan Nayak -CSE

Amrit Khalsa – CSE

3Department of Electrical and Computer Engineering

Improving the Refrigerator

Currently a “dumb” appliance, with no interface with the food it holds.

Owners are responsible for knowing what food is or is not in the refrigerator.

Most people rely on handwritten lists for shopping.

Goal: Create a smart refrigerator that knows what products it contains and can use that data to make prediction.


The Frij – Goals Reiterated RFID and weight sensors keep status of food

items in the Frij. Accurate and easy product identification via

interface with UPC (barcode) database. Server/Database stores inventory for easy access

and predicts grocery needs. App displays current inventory and accesses

database-generated shopping list.


Block Diagram from PDR

Refrigerator

Barcode scanner

RFID sensor

Weight sensors

Raspberry Pi

Food Item(with RFID Tag)

ServerProduct

recognition

UPC Database

Pattern recognition

Mobile App

Database

Block 1: Carlton Jones - EEBlock 2: Andrew Paisner - EEBlock 3: Shravan Nayak -CSEBlock 4: Amrit Khalsa - CSE User

Interface


Updated Block Diagram

Refrigerator

Barcode scanner

RFID sensor

USB scale

Raspberry Pi

Food Item(with RFID Tag)

ServerProduct

recognition

UPC Database

Pattern recognition

Mobile App

Database

• Little change• Only the “Weight Sensors”

block needs to be replacedUser

Interface


Block 1: Carlton Jones – Weight Sensors Ordered 50kg rated weight sensors. Created Wheatstone Bridge and Instrumentation

Amplifier. Tuned amplifier outputs to measurable range. With Andrew built ADC interface for reading via

Raspberry Pi.

For CDR: Scrap this setup in favor of a pre-built scale because of accuracy and tuning issues.


Block 1: Carlton Jones – RFID Ordered UHF RFID reader. Ordered small adhesive UHF tags. With Amrit obtained the software that allows it to

read the tags. Tested sensor inside refrigerator and with

multiple and various tags.

For CDR: Interface the RFID reader with Raspberry Pi (can’t run manufacturer’s program on Linux).


Block 2: Andrew Paisner – Raspberry Pi Ordered and set up Raspberry Pi. Created program to read and send inputs from

USB barcode reader. Added functionality to read and send voltages

from weight sensors via ADC. With Amrit designed function to read and send

serial data from RFID reader. Program sends barcode and weight data to

server after it is scanned (not RFID as of now).

For CDR: Connect to server via Wi-Fi.


Block 2: Andrew Paisner – Barcodes/UPC Ordered USB barcode reader. Created program to read UPC tags on Pi. Researched publically available UPC databases

and their API interfaces Using UPCDatabase.org API created lookup

function that runs on server.

For CDR: Add more precise product identification for better UI. And search multiple databases.


Block 3: Amrit Khalsa – Server Server that will store and remove food items• Server receives information from Raspberry PI via HTTP

POST• Stores translated item from barcode lookup into database• Sends and receives JSON objects • Has functionality to remove and link data to items

PostgreSQL database • Two tables: frijdb.items and frijdb.systeminfo• Java code to connect to and update information in

database


Block 3: Amrit Khalsa – Server Communication

Web ServerJSON Object in HTTP POST

HTTP GET

JSON Array Server responds to

different types of data from Raspberry Pi:• Barcode numbers• RFID numbers• Weight sensor data

App


Block 3: Amrit Khalsa – Database


Block 4: Shravan Nayak – App Communicates with server

• App sends an HTTP GET request to the url of Heroku server

• Heroku server sends a JSON array containing the JSON object to the app which contains the product info.

• App can also send data to the server using HTTP POST Message

JSON Parser• App parses the JSON array and retrieves the name and

weight of the product• The information is stored and displayed on the using the

TextView class


Block 4: Shravan Nayak – App


Block 4: Shravan Nayak – Communication

HTTP GET

JSON Array

SERVER CLIENT


MDR Deliverables – Proposed RFID reader reading tags in refrigerator. RFID reader and weight sensors communicating

with Raspberry Pi. Barcode scanner with UPC API lookup. Server that will store and remove food items,

weights, and their barcode/RFID data. Develop the UI for the app and communicate

with the server.


MDR Deliverables – All Accomplished RFID reader reads tags inside refrigerator. RFID reader, weight sensors, and barcode

scanner communicate with Raspberry Pi. Server does UPC API lookup of barcodes. Server database stores and remove food items,

weights, and their barcode/RFID data. App has UI and receives database updates from

server and can send items to database.


Hardware features completed. Installed in refrigerator unobtrusively. USB (or other) weighing scale. Accurate weight sensing (can be compared to UPC). Integrated power supplies.

Pi sends RFID data and is connected via Wifi. Accurate product description from UPC lookup. Server and database with product history and

predictive algorithms. Android UI with complete functionalities.

Incorporating shopping list generated by server.

Proposed CDR Deliverables

department of electrical and computer engineering mdr presentation team frij

Documents

department of electrical

carlton jones rfid

upc barcode database

andrew paisner ee block

carlton jones ee block

uhf rfid reader

andrew paisner raspberry

carlton jones weight