Project

# Title Team Members TA Documents Sponsor
55 Rodent Deterrent and classification system
Jung Ki Lee
Mankeerat Sidhu
Rishab Vivekanandh
Angquan Yu design_document1.pdf
design_document2.pdf
final_paper1.pdf
photo1.jpg
photo2.jpg
presentation1.pdf
proposal2.pdf
proposal1.pdf
video
Team Members -

Mankeerat Sidhu,
Jung Ki Lee,
Rishab

Problem -

Every year, in late summer and fall, thousands and millions of backyards, lawns, golf courses and open grass fields suffer from rodents and birds digging the ground in search for earthworms, soil-dwelling insects, and insect larvae (grubs) ruining the grass and leaving behind large patches of loose turf. This is not only a huge problem for the grass farming industry but also for every backyard ruining the aesthetic pleasingness and plants grown on the lawn. The current deterrent methods are technologically naive including of just a motion sensor, lights and loud sounds which can leave the user unaware of the type of rodent affecting their lawn, loud noises at night and a deterrent that does not prevent lawn digging.

Solution -

We are proposing a rodent detection and deterrent system which comprises of many parts. Firstly using infrared and ultrasonic sensors on a rotating servo, we would detect for any rodent outside of the usual landscape of the lawn the device is placed in. The PI camera system would simultaneously work to take a clean shot of the rodent/bird and store it in the file system. If recognized to be a ground digging rodent, for the actual deterrent, our colored lights and localized speaker beeps would go in the direction of the rodent/bird rather than just in 1 direction like the previously commercialized methods. This would ensure rodent deterrent and also tell the user what type of animals are responsible for digging their lawn.


Criteria For Success -

To test for this method, we would set up our system on a surface and test using props of different types of animals. We need to showcase that the sensors can detect irregularity and movement outside of the known landscape, can take a photo of the rodent and then classify the rodent and then also on moving servos, send localized beeps and colored light beams towards the rodent to scare it away and realistically prevent it from digging the ground.

Equipment -

Arduino Uno,
Raspberry pi 4,
PIR sensor, Ultrasonic Sensor, PI camera module
L298N motor driver,
Servos,
Colored Light arrays,
Small speakers,
LCD display (radar showing interactive component),
Potentiometers and capacitors

Habit-Forming Toothbrush Stand

John Kim, Quinn Palanca, Rahul Vasanth

Habit-Forming Toothbrush Stand

Featured Project

I spoke with a TA that approved this idea during office hours today, and they said I should submit it as a project proposal.

# Habit-Forming Toothbrush Stand

Team Members:

- Rahul Vasanth (rvasant2)

- Quinn Andrew Palanca (qpalanc2)

- John Jung-Yoon Kim (johnjk5)

# Problem

There are few habits as impactful as good dental hygiene. Brushing teeth in the morning and night can significantly improve health outcomes. Many struggle with forming and maintaining this habit. Parents might have a difficult time getting children to brush in the morning and before sleep while homeless shelter staff, rehab facility staff, and really, anyone looking to develop and track this habit may want a non-intrusive, privacy-preserving method to develop and maintain the practice of brushing their teeth in the morning. Keeping track of this information and but not storing it permanently through a mobile application is something that does not exist on the market. A small nudge is needed to keep kids, teenagers, and adults of all ages aware and mindful about their brushing habits. Additionally, many tend to zone out while brushing their teeth because they are half asleep and have no idea how long they are brushing.

# Solution

Our solution is catered toward electric toothbrushes. Unlike specific toothbrush brands that come with mobile applications, our solution applies to all electric toothbrushes, preserves privacy, and reduces screen time. We will implement a habit-forming toothbrush stand with a microcontroller, sensors, and a simple LED display that houses the electric toothbrush. A band of sensors will be wrapped around the base of the toothbrush. Lifting the toothbrush from the stand, turning it on, and starting to brush displays a timer that counts seconds up to ten minutes. This solves the problem of brushing too quickly or losing track of time and brushing for too long. Additionally, the display will provide a scorecard for brushing, with 14 values coming from (morning, night) x (6daysago, 5daysago, . . . , today) for a "record" of one week and 14 possible instances of brushing. This will augment the user's awareness of any new trends, and potentially help parents, their children, and other use cases outlined above. We specifically store just one week of data as the goal is habit formation and not permanent storage of potentially sensitive health information in the cloud.

# Solution Components

## Subsystem 1 - Sensor Band

The sensor band will contain a Bluetooth/Wireless Accelerometer and Gyroscope, or Accelerometer, IR sensor (to determine height lifted above sink), Bluetooth/Wireless connection to the microcontroller. This will allow us to determine if the electric toothbrush has been turned on. We will experiment with the overall angle, but knowing whether the toothbrush is parallel to the ground, or is lifted at a certain height above the sink will provide additional validation. These outputs need to be communicated wirelessly to the habit-forming toothbrush stand.

Possibilities: https://www.amazon.com/Accelerometer-Acceleration-Gyroscope-Electronic-Magnetometer/dp/B07GBRTB5K/ref=sr_1_12?keywords=wireless+accelerometer&qid=1643675559&sr=8-12 and individual sensors which we are exploring on Digikey and PCB Piezotronics as well.

## Subsystem 2 - Toothbrush Base/Stand and Display

The toothbrush stand will have a pressure sensor to determine when the toothbrush is lifted from the stand (alternatively, we may also add on an IR sensor), a microcontroller with Bluetooth capability, and a control unit to process sensor outputs as well as an LED display which will be set based on the current state. Additionally, the stand will need an internal clock to distinguish between morning and evening and mark states accordingly. The majority of sensors are powered by 3.3V - 5V. If we use a battery, we may include an additional button to power on the display (or just have it turn on when the pressure sensor / IR sensor output confirms the toothbrush has been lifted, or have the device plug into an outlet.

# Criterion For Success

1. When the user lifts the toothbrush from the stan and it begins to vibrate (signaling the toothbrush is on), the brushing timer begins and is displayed.

2. After at least two minutes have passed and the toothbrush is set back on the stand, the display correctly marks the current day and period (morning or evening).

3. Track record over current and previous days and the overall weekly record is accurately maintained. At the start of a new day, the record is shifted appropriately.

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