Project

# Title Team Members TA Documents Sponsor
43 Kitchen Dry Ingredient Tracker
 Anju Jain
Nynika Badam
Sanjana Kumar
 Vishal Dayalan design_document1.pdf
final_paper1.pdf
photo1.jpg
photo2.heic
photo3.heic
presentation1.pdf
proposal1.pdf
video
**Kitchen Dry Ingredient Tracker**

Team Members:
- Anju Jain (anjuyj2)
- Nynika Badam (nbadam2)
- Sanjana Kumar (spkumar4)

**Problem**

In our day to day lives, it's hard to keep track of ingredients in our kitchen and make sure we replenish it often. In order to remedy this, we propose a kitchen dry ingredient tracker.

**Solution**

Our system is designed to track and communicate with users about their ingredient necessities. Each individual ingredient tracker can be tailored to different lower weight threshold measurements.
Our system will use an app to maintain a digital grocery list. If an ingredient is running low, our system will add the ingredient to a digital grocery list. We also will have the option of adding the ingredient to the user's choice of online shopping cart. Users can remove ingredients' names from the list after purchase. ​​If a user is outside and is close to a grocery store (500 m), mobile app notification will be sent to the user's phone to notify them about necessary ingredient/s.

**Solution Components**

## Subsystem 1: LED
LED lights are placed at each ingredient and will light up when a certain percentage of total ingredients are low to indicate a more urgent grocery run.
Components: LEDs (from previous semester lab kits) or LED strip (12V-NB-CW-01M), LED Driver

## Subsystem 2: Weight Sensor
Our system will have 3 weight sensors to track 3 different ingredients. This can be extended for a system with more ingredients.
Each weight sensor will have a button to indicate if that weight sensor is active.
The weight sensor will be used to make sure the dry ingredient has not gone below the minimum weight limit.
Components: weight sensor Alpha (Taiwan) MF01A-N-221-A05, button (from previous lab kits)

## Subsystem 3: Microcontroller
Our system will be powered by plugging the microcontroller to the wall.
It will keep constant track of weight fluctuations for ingredients and send the data to the app.
It will be responsible for controlling individual ingredient’s LEDs.
Components: Microcontroller

## Subsystem 4: App
We will build an Apple based mobile app to provide connectivity between the user and the system.
User specifies which weight sensor station corresponds to what ingredient and its lower weight threshold (grams).
The app will maintain a digital grocery list.
If an ingredient is running low, our system will add the ingredient to a digital grocery list.
We also will have the option of adding the ingredient to the user's choice of online shopping cart.
Users can remove ingredients' names from the list after purchase.
​​If a user is outside and is close to a grocery store (500 m), mobile app notification will be sent to the user's phone to notify them about necessary ingredient/s.

# Criterion For Success
1. System should be able to measure changes in ingredient weights
- Add/Remove ingredient from grocery list/ online store shopping cart
2. Indicate when an ingredient needs replenishing through app
- mobile app should add ingredient name to digital shopping list
- Or add ingredient to an online store shopping cart
3. When many ingredients (2 out of 3) are low, LED lights should turn on around these ingredients
4. If the user’s phone is 500 m or less from a grocery store, mobile app should send reminder to visit the store if there are ingredients in the digital grocery list (if the user chose not to go the online shopping route)

Electronic Replacement for COVID-19 Building Monitors @ UIUC

Patrick McBrayer, Zewen Rao, Yijie Zhang

Featured Project

Team Members: Patrick McBrayer, Yijie Zhang, Zewen Rao

Problem Statement:

Students who volunteer to monitor buildings at UIUC are at increased risk of contracting COVID-19 itself, and passing it on to others before they are aware of the infection. Due to this, I propose a project that would create a technological solution to this issue using physical 2-factor authentication through the “airlock” style doorways we have at ECEB and across campus.

Solution Overview:

As we do not have access to the backend of the Safer Illinois application, or the ability to use campus buildings as a workspace for our project, we will be designing a proof of concept 2FA system for UIUC building access. Our solution would be composed of two main subsystems, one that allows initial entry into the “airlock” portion of the building using a scannable QR code, and the other that detects the number of people that entered the space, to determine whether or not the user will be granted access to the interior of the building.

Solution Components:

Subsystem #1: Initial Detection of Building Access

- QR/barcode scanner capable of reading the code presented by the user, that tells the system whether that person has been granted or denied building access. (An example of this type of sensor: (https://www.amazon.com/Barcode-Reading-Scanner-Electronic-Connector/dp/B082B8SVB2/ref=sr_1_11?dchild=1&keywords=gm65+scanner&qid=1595651995&sr=8-11)

- QR code generator using C++/Python to support the QR code scanner.

- Microcontroller to receive the information from the QR code reader and decode the information, then decide whether to unlock the door, or keep it shut. (The microcontroller would also need an internal timer, as we plan on encoding a lifespan into the QR code, therefore making them unusable after 4 days).

- LED Light to indicate to the user whether or not access was granted.

- Electronic locking mechanism to open both sets of doors.

Subsystem #2: Airlock Authentication of a Single User

- 2 aligned sensors ( one tx and other is rx) on the bottom of the door that counts the number of people crossing a certain line. (possibly considering two sets of these, so the person could not jump over, or move under the sensors. Most likely having the second set around the middle of the door frame.

- Microcontroller to decode the information provided by the door sensors, and then determine the number of people who have entered the space. Based on this information we can either grant or deny access to the interior building.

- LED Light to indicate to the user if they have been granted access.

- Possibly a speaker at this stage as well, to tell the user the reason they have not been granted access, and letting them know the

incident has been reported if they attempted to let someone into the building.

Criterion of Success:

- Our system generates valid QR codes that can be read by our scanner, and the data encoded such as lifespan of the code and building access is transmitted to the microcontroller.

- Our 2FA detection of multiple entries into the space works across a wide range of users. This includes users bound to wheelchairs, and a wide range of heights and body sizes.