Project :: ECE 445 - Senior Design Laboratory

Project

#	Title	Team Members	TA	Documents	Sponsor
12	Color Detecting Automatic Paint Dispenser	Alexander Kaplich Lucky Konatham Rajeev Bommana	Chi Zhang	design_document1.pdf design_document2.pdf other1.pdf proposal1.pdf
	Team : - Rajeev Bommana (bommana2) - Alexander Kaplich (kaplich2) - Lucky Konatham (lrk4) Problem : - Whenever a painter starts a new project they always begin by mixing their desired colors on their palette using some combination of red, blue, yellow and white. However, the painter will inevitably run out of paint, and then will need to mix the exact color that they had before. Speaking from experience this part of the process is very frustrating and time consuming, especially for artists that are bad at mixing colors. Rather than wasting time learning color theory, or buying the color you were using straight from the tube, we will save time and money by designing a machine that can determine the pigments required to mix any color using RGB sensors, and it will also mix it for you using a combination of primary colors so that you don't have to. Solution : - The idea is pretty simple, the user of the device will "scan" the desired color by using a color sensor that detects the RGB values of a surface using red, green, blue and 'clear' photodiodes. The device will send the RGB values of the color to the onboard mcu which will do some simple calculations to convert the RGB value of the color to CMYK format using conversion formulas. This is the same principle behind color printers which create color images by mixing cyan, magenta, yellow, and black. The mcu will then communicate with 5 stepper drivers which are wired to 5 Stepper motors that will dispense the appropriate amount of white, cyan, magenta, yellow and black paint into a cup. The components will be powered by a non-rechargeable battery bank and the final result should be a paint cup with the color that was scanned before. Ideally the person using this tool never needs to actually do any mixing, they can just scan a color and apply it directly on the canvas/work surface. Subsystem 1 (Color Classifier) : - HiLetgo TCS-34725 TCS34725 RGB Light Color - Sensor Colour Recognition Module RGB Color - Sensor with IR filter and White LED for Arduino - STM32 Series MCU - 4 x WWZMDiB A4988 Stepper Motor Drive - Custom PCB for Microcontroller management - Standard button - 12 volt power supply (L6R24-120) The Color Classifier subsystem will have all the logic for the design. It will have a pcb that contains input from a color sensor and a microcontroller to process the input from the color sensor. This will all happen when a button is pressed and a high signal is sent. The motor drivers are also placed on the PCB to interface with the microcontroller to receive the processed signals once the color is processed. We will use a 12 volt power supply in order to power this system. A voltage regulator circuit will be used in order to get the voltage to the 3 volts needed for the microcontroller. Subsystem 2 (Paint Dispenser) : - 4 x Low flow peristaltic pump 12V dc Kamoer NKP - 4 x Nema 17 Stepper Motor Bipolar 2A 59Ncm(84oz.in) 48mm Body 4-lead - Custom 3d printed casing for holding pumps - Printing at idea lab / material to be used: PLA - Wires for connections - 3d printed reservoirs for paint - 12 volt power supply (same one as Color Classifier subsystem) - Silicon tubing for peristaltic pump The Paint Dispenser will receive signals from color classifiers in order to pump the correct materials. The motors will drive the peristaltic pumps to pump the paint from the paint reservoirs into a central location centered around the 3d printed pump holder. The artist can put their palette in this area and mix around their colors once every paint needed for that color is dispensed.

Title

Team Members

Documents

Sponsor

Color Detecting Automatic Paint Dispenser

Alexander Kaplich
Lucky Konatham
Rajeev Bommana

Chi Zhang

design_document1.pdf
design_document2.pdf
other1.pdf
proposal1.pdf

Team :
- Rajeev Bommana (bommana2)
- Alexander Kaplich (kaplich2)
- Lucky Konatham (lrk4)

Problem :
- Whenever a painter starts a new project they always begin by mixing their desired colors on their palette using some combination of red, blue, yellow and white. However, the painter will inevitably run out of paint, and then will need to mix the exact color that they had before. Speaking from experience this part of the process is very frustrating and time consuming, especially for artists that are bad at mixing colors. Rather than wasting time learning color theory, or buying the color you were using straight from the tube, we will save time and money by designing a machine that can determine the pigments required to mix any color using RGB sensors, and it will also mix it for you using a combination of primary colors so that you don't have to.

Solution :
- The idea is pretty simple, the user of the device will "scan" the desired color by using a color sensor that detects the RGB values of a surface using red, green, blue and 'clear' photodiodes. The device will send the RGB values of the color to the onboard mcu which will do some simple calculations to convert the RGB value of the color to CMYK format using conversion formulas. This is the same principle behind color printers which create color images by mixing cyan, magenta, yellow, and black. The mcu will then communicate with 5 stepper drivers which are wired to 5 Stepper motors that will dispense the appropriate amount of white, cyan, magenta, yellow and black paint into a cup. The components will be powered by a non-rechargeable battery bank and the final result should be a paint cup with the color that was scanned before. Ideally the person using this tool never needs to actually do any mixing, they can just scan a color and apply it directly on the canvas/work surface.

**Subsystem 1 (Color Classifier) :**

- HiLetgo TCS-34725 TCS34725 RGB Light Color

- Sensor Colour Recognition Module RGB Color

- Sensor with IR filter and White LED for Arduino

- STM32 Series MCU

- 4 x WWZMDiB A4988 Stepper Motor Drive

- Custom PCB for Microcontroller management

- Standard button

- 12 volt power supply (L6R24-120)

The Color Classifier subsystem will have all the logic for the design. It will have a pcb that contains input from a color sensor and a microcontroller to process the input from the color sensor. This will all happen when a button is pressed and a high signal is sent. The motor drivers are also placed on the PCB to interface with the microcontroller to receive the processed signals once the color is processed. We will use a 12 volt power supply in order to power this system. A voltage regulator circuit will be used in order to get the voltage to the 3 volts needed for the microcontroller.

**Subsystem 2 (Paint Dispenser) :**

- 4 x Low flow peristaltic pump 12V dc Kamoer NKP

- 4 x Nema 17 Stepper Motor Bipolar 2A 59Ncm(84oz.in) 48mm Body 4-lead

- Custom 3d printed casing for holding pumps

- Printing at idea lab / material to be used: PLA

- Wires for connections

- 3d printed reservoirs for paint

- 12 volt power supply (same one as Color Classifier subsystem)

- Silicon tubing for peristaltic pump

The Paint Dispenser will receive signals from color classifiers in order to pump the correct materials. The motors will drive the peristaltic pumps to pump the paint from the paint reservoirs into a central location centered around the 3d printed pump holder. The artist can put their palette in this area and mix around their colors once every paint needed for that color is dispensed.

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.