Project

# Title Team Members TA Documents Sponsor
24 Smart Closet
Luchuan Zhang
Yiwei Li
Luke Wendt design_document0.pdf
design_document0.pdf
final_paper0.pdf
presentation0.pptx
presentation0.pptx
proposal0.pdf
video
The problems: It's hard for people to organize their clothes in traditional closet, and easily forget which clothes they already have when they want to buy new clothes online or in store. Forget which clothes should do laundry.

Existed solutions: Mostly are customized traditional closets. Some smart closet apps need users to take pictures and upload, too time-consuming. And these apps do not associated with users' closets.

Our solution: The closet will take pictures of any new add clothes. It will count the days you worn each clothes and display on the phone. It can indicate which clothes to pick and to wash by different color of LED on clothes hanger and notice you when the laundry basket is full.

Hardware: A motor controlled rotatable rack. On the rack there are around 20 gates to place clothes, each gate has a number assigned. A control panel (micro controller is expected) decides how long rack should rotate, when to photo, and use WiFi to connect with phone. A photo booth aside. LED system to indicate which clothes to pick also controlled by micro-controller. Weight sensor to measure the weight of laundry basket also linked to controller. This micro-controller may infer to Raspberry Pi.

Software: Phone app. Each clothes has a database: type, picture (new clothes will have no picture), number of the gate (will be assigned a new number if put in again and will be null if clothes is outside of closet), status of need photo or not, and worn days. App will send the specific gate number to the control panel, and all the information control panel get will be updated on the phone.

BusPlan

Aashish Kapur, Connor Lake, Scott Liu

BusPlan

Featured Project

# People

Scott Liu - sliu125

Connor Lake - crlake2

Aashish Kapur - askapur2

# Problem

Buses are scheduled inefficiently. Traditionally buses are scheduled in 10-30 minute intervals with no regard the the actual load of people at any given stop at a given time. This results in some buses being packed, and others empty.

# Solution Overview

Introducing the _BusPlan_: A network of smart detectors that actively survey the amount of people waiting at a bus stop to determine the ideal amount of buses at any given time and location.

To technically achieve this, the device will use a wifi chip to listen for probe requests from nearby wifi-devices (we assume to be closely correlated with the number of people). It will use a radio chip to mesh network with other nearby devices at other bus stops. For power the device will use a solar cell and Li-Ion battery.

With the existing mesh network, we also are considering hosting wifi at each deployed location. This might include media, advertisements, localized wifi (restricted to bus stops), weather forecasts, and much more.

# Solution Components

## Wifi Chip

- esp8266 to wake periodically and listen for wifi probe requests.

## Radio chip

- NRF24L01 chip to connect to nearby devices and send/receive data.

## Microcontroller

- Microcontroller (Atmel atmega328) to control the RF chip and the wifi chip. It also manages the caching and sending of data. After further research we may not need this microcontroller. We will attempt to use just the ens86606 chip and if we cannot successfully use the SPI interface, we will use the atmega as a middleman.

## Power Subsystem

- Solar panel that will convert solar power to electrical power

- Power regulator chip in charge of taking the power from the solar panel and charging a small battery with it

- Small Li-Ion battery to act as a buffer for shady moments and rainy days

## Software and Server

- Backend api to receive and store data in mongodb or mysql database

- Data visualization frontend

- Machine learning predictions (using LSTM model)

# Criteria for Success

- Successfully collect an accurate measurement of number of people at bus stops

- Use data to determine optimized bus deployment schedules.

- Use data to provide useful visualizations.

# Ethics and Safety

It is important to take into consideration the privacy aspect of users when collecting unique device tokens. We will make sure to follow the existing ethics guidelines established by IEEE and ACM.

There are several potential issues that might arise under very specific conditions: High temperature and harsh environment factors may make the Li-Ion batteries explode. Rainy or moist environments may lead to short-circuiting of the device.

We plan to address all these issues upon our project proposal.

# Competitors

https://www.accuware.com/products/locate-wifi-devices/

Accuware currently has a device that helps locate wifi devices. However our devices will be tailored for bus stops and the data will be formatted in a the most productive ways from the perspective of bus companies.