Project

# Title Team Members TA Documents Sponsor
70 DIY Plantify
Hongshang Fan
Joshmita Chintala
Maya Kurup
Raman Singh design_document1.pdf
design_document2.pdf
final_paper2.pdf
photo1.jpg
proposal1.pdf
video1.mp4
DIY Plantify

Team Members:
- Maya Kurup (mayaek2)
- Joshmita Chintala (jchint2)
- Hongshang Fan (hf7)

# **Problem**

At the root of every plant, it needs 5 different components for it to grow, survive, and thrive: light, air, water, nutrients, and space to grow. In people’s day-to-day lives, there aren’t many systems put in place to help those individuals understand how much sunlight a plant needs, when the plant needs it, and how much of it they need. As well, there aren’t many systems in place to understand how much water a plant needs, when it needs to be watered, and if you are adding enough. So, a solution to resolve these issues can be very beneficial in people’s day-to-day lives when growing plants (simple leaf plants, trees, fruits, or even vegetables) on a smaller scale, but can also be extended to a professional/advanced level that farmers and larger industries can use.

# **Solution**

A solution for this issue is to create a system in which a light and/or heating sensor is connected to a pot, and this can detect how much sunlight that plant is retaining. Once that sensor sees that the sunlight exposure is too low/high based on what the plant needs, it will alert the system. And in this system, we also want to implement a system with motors/moving robots beneath this pot, that can move this pot in a different location around a certain room (with a chassis - similar to a Rumba-vacuum moving system). With the combination of this heating/light sensor and a moving chassis, we can feasibly make a product that can be applied and used in people’s day-to-day life. As well, we can hopefully get a full implementation done by the end of this semester, as we can use our past experiences with motors and sensors, and the use of ECE technical elective class applications.

Based on the timeline of our project, we can foresee that maybe we will have time to make further implementations of this product. An example of an additional component would be a self-watering pot. This pot would use multiple sensors (depending on the route of how we would want to do it - weight measuring sensor, moisture control sensor, etc) to detect how much moisture is in the pot, or by using timing sensors to alert when the plant needs to be watered (depending on each plant’s needs). This would create a self-automated irrigation system for small plants and can further be extended to larger systems, which would help everyone at a local level and professional/worldwide level.


# **Solution Components**

## Subsystem 1 Light/Heat Sensor

The light (and/or heat) sensors are present on the pot and it will detect the amount of sunlight that it receives. We will have a certain level of light that it must maintain, and if it goes below that level, the light sensor will alert the system and then the robot wheels will be activated to move the pot. This is the next subsystem.

## Subsystem 2 Plant-carrying robot/chassis

The robot motor will be controlled by the microprocessor and the processor will give commands according to the data from light and heat sensors. The commands will include moving the plant to another location with comparatively more light and heat sensors.

_Parts Needed_: Photoresistor and Raspberry Pi
- Photoresistors: https://www.amazon.com/dp/B01N7V536K/
- Raspberry Pi: https://www.amazon.com/dp/B07TC2BK1X/?th=1
- Capacitors: https://www.amazon.com/dp/B01MSQOX0Q/
- Chassis: https://www.adafruit.com/product/3244?gclid=Cj0KCQiA2-2eBhClARIsAGLQ2Rli0ig6Wgl3Ri489C1lW6eO7W3zSEXhPjSYvQRZ5P2SJ4LlMirFtNQaAlhJEALw_wcB

# **Criterion For Success**
## Main Goals:
1. Ensuring that light vs. dark is being detected by the light sensor
- To test that, we need a circuit setup with a photoresistor, capacitor, and the Raspberry Pi.
- When the light is present, the resistance is lower. When light is not present, the resistance is higher.
- When resistance is lower, the capacitor will charge faster. And when resistance is higher, it takes longer for the capacitor to charge.
- We need the Raspberry Pi to read the voltage values and to see how long it takes to charge the capacitor.
- Based on these values, we can detect whether light is present or not present
2. Next, we need to test that the outputs of light being detected vs. not detected are being recognized by the microprocessor.
3. Once that is done, and we have a way of informing the microprocessor of light vs. dark, it should send instructions to move the chassis if necessary
4. It needs to keep moving until it finds a place with more light
5. And then once again, we would have to make sure that light is being detected by the light sensor.
6. To test our entire project, we could have for example 4 locations in a room, and then change/dim the lighting at each of the spots consecutively and see the robot move from location to location.

## Criterion to consider throughout the project:

1. Light sensor:
- Where the plant should be located
- How much sunlight the plant needs
- When the sensor needs to be used (turned on/off) based on the time of day, or if it can be automated
- Where the sensor should be located for best results

2. Chassis/Moving motor system:
- Determine when the motor needs to be used
- Determine how fast it should move the pot
- Test and make sure it has a motion sensor so that it’s not running into walls (set a range of x, y, z directions to make a maximum and minimum distance of how far it should/can move in a certain room/location)

3. Water/Moisture Sensor/System:
- Test how much moisture is in the pot: Use a weighing sensor (implemented ourselves), or a moisture sensor (easily find/buy online)

Waste Bin Monitoring System

Benjamin Gao, Matt Rylander, Allen Steinberg

Featured Project

# Team Members:

- Matthew Rylander (mjr7)

- Allen Steinberg (allends2)

- Benjamin Gao (bgao8)

# Problem

Restaurants produce large volumes of waste every day which can lead to many problems like overflowing waste bins, smelly trash cans, and customers questioning the cleanliness of a restaurant if it is not dealt with properly. Managers of restaurants value cleanliness as one of their top priorities. Not only is the cleanliness of restaurants required by law, but it is also intrinsically linked to their reputation. Customers can easily judge the worth of a restaurant by how clean they keep their surroundings. A repulsive odor from a trash can, pests such as flies, roaches, or rodents building up from a forgotten trash can, or even just the sight of a can overflowing with refuse can easily reduce the customer base of an establishment.

With this issue in mind, there are many restaurant owners and managers that will likely purchase a device that will help them monitor the cleanliness of aspects of their restaurants. With the hassle of getting an employee to leave their station, walk to a trash can out of sight or far away, possibly even through external weather conditions, and then return to their station after washing their hands, having a way to easily monitor the status of trash cans from the kitchen or another location would be convenient and save time for restaurant staff.

Fullness of each trash can isn’t the only motivating factor to change out the trash. Maybe the trash can is mostly empty, but is extremely smelly. People are usually unable to tell if a trash can is smelly just from sight alone, and would need to get close to it, open it up, and expose themselves to possible smells in order to determine if the trash needs to be changed.

# Solution

Our project will have two components: 1. distributed sensor tags on the trash can, and 2. A central hub for collecting data and displaying the state of each trash can.

The sensor tags will be mounted to the top of a waste bin to monitor fullness of the can with an ultrasonic sensor, the odor/toxins in the trash with an air quality/gas sensor, and also the temperature of the trash can as high temperatures can lead to more potent smells. The tags will specifically be mounted on the underside of the trash can lids so the ultrasonic sensor has a direct line of sight to the trash inside and the gas sensor is directly exposed to the fumes generated by the trash, which are expected to migrate upward past the sensor and out the lid of the can.

The central hub will have an LCD display that will show all of the metrics described in the sensor tags and alert workers if one of the waste bins needs attention with a flashing LED. The hub will also need to be connected to the restaurant’s WiFi.

This system will give workers one less thing to worry about in their busy shifts and give managers peace of mind knowing that workers will be warned before a waste bin overflows. It will also improve the customer experience as they will be much less likely to encounter overflowing or smelly trash cans.

# Solution Components

## Sensor Tag Subsystem x2

Each trash can will be fitted with a sensor tag containing an ultrasonic sensor transceiver pair, a hazardous gas sensor, a temperature sensor, an ESP32 module, and additional circuitry necessary for the functionality of these components. The sensors will be powered with 3.3V or 5V DC from a wall adapter. A small hole will need to be drilled into the side of each trash can to accommodate the wall adapter output cord. They may also need to be connected to the restaurant’s WiFi.

- 2x ESP32-S3-WROOM

https://www.digikey.com/en/products/detail/espressif-systems/ESP32-S3-WROOM-1-N16R2/16162644

- 2x Air Quality Sensor (ZMOD4410)

https://www.digikey.com/en/products/detail/renesas-electronics-corporation/ZMOD4410AI1R/8823799

- 2x Temperature/Humidity Sensor(DHT22)

https://www.amazon.com/HiLetgo-Digital-Temperature-Humidity-Replace/dp/B01DA3C452?source=ps-sl-shoppingads-lpcontext&ref_=fplfs&psc=1&smid=A30QSGOJR8LMXA#customerReviews

- 2x Ultrasonic Transmitter/Receiver

https://www.digikey.com/en/products/detail/cui-devices/CUSA-R75-18-2400-TH/13687422

https://www.digikey.com/en/products/detail/cui-devices/CUSA-T75-18-2400-TH/13687404

## Central Hub Subsystem

The entire system will be monitored from a central hub containing an LCD screen, an LED indicator light, and additional I/O modules as necessary. It will be based around an ESP32 module connected to the restaurant’s WiFi or ESPNOW P2P protocol that communicates with the sensor tags. The central hub will receive pings from the sensor tags at regular intervals, and if the central hub determines that one or more of the values (height of trash, air quality index, or temperature) are too high, it will notify the user. This information will be displayed on the hub’s LCD screen and the LED indicator light on the hub will flash to alert the restaurant staff of the situation.

- 1x ESP32-S3-WROOM

https://www.digikey.com/en/products/detail/espressif-systems/ESP32-S3-WROOM-1-N16R2/16162644

- 1x LCD Screen

https://www.amazon.com/Hosyond-Display-Compatible-Mega2560-Development/dp/B0BWJHK4M6/ref=sr_1_4?keywords=3.5%2Binch%2Blcd&qid=1705694403&sr=8-4&th=1

# Criteria For Success

This project will be successful if the following goals are met:

- The sensor tags can detect when a trash can is almost full (i.e. when trash is within a few inches of the lid) and activate the proper protocol in the central hub.

- The sensor tags can detect when an excess of noxious fumes are being produced in a trash can and activate the proper protocol in the central hub.

- The sensor tags can detect when the temperature in a trash can has exceeded a user-defined threshold and activate the proper protocol in the central hub.

- The central hub can receive wireless messages from all sensor tags reliably and correctly identify which trash cans are sending the messages.

Project Videos