Project

# Title Team Members TA Documents Sponsor
5 Automatic Beverage bottle sorting bin
 Jiajun Huang
Jingjie He
Joe Yu
 Sanjana Pingali design_document2.pdf
final_paper1.pdf
photo1.jpg
photo2.jpg
presentation1.pptx
proposal2.pdf
video
Team Members:

Jingjie He (jingjie8)
Jiajun Huang (jiajunh4)
Tianyu Yu (tianyuy4)
Problem

Garbage bins for bottles are typically placed near vending machines. These bins often feature separate holes: one for metal cans and one for plastic bottles. However, many individuals do not adhere to these sorting instructions, resulting in misplaced items.

Solution

We propose an advanced garbage bin equipped with an automatic sorting system. This bin will have a singular entrance where users deposit bottles. The system will then automatically determine whether the bottle is made of plastic or metal. Additionally, it will be designed to reject objects, such as waste paper, which is small enough and can be inserted into the hole.

Solution Components

Metal detector

The metal detector will generate a magnetic field and sense any alterations caused by the presence of metal, thus identifying metal bottles.

Mechanical sorting system

This system, driven by a motor and microcontroller, will grasp the bottle during the detection phase. After identifying the material, it will release the bottle, ensuring it falls into the correct bin.

Reject system

Located within the sorting chamber, this system will assess both the size and weight of the deposited object. Using pressure sensors on a series of pistons, it will determine if the object dimensions and weight correspond to that of a typical bottle. Objects that don’t meet the criteria will be rejected.

Container

Two container to hold the garbage.

Criterion For Success

A successful bottle sorting bin should be able to correctly sort plastic bottles and metal cans into different bins. It should also be able to reject objects that do not posses characteristics (shape and structural strength) akin to bottles.

STRE&M: Automated Urinalysis (Pitched Project)

Gage Gulley, Adrian Jimenez, Yichi Zhang

STRE&M: Automated Urinalysis (Pitched Project)

Featured Project

Team Members:

- Gage Gulley (ggulley2)

- Adrian Jimenez (adrianj2)

- Yichi Zhang (yichi7)

The STRE&M: Automated Urinalysis project was pitched by Mukul Govande and Ryan Monjazeb in conjunction with the Carle Illinois College of Medicine.

#Problem:

Urine tests are critical tools used in medicine to detect and manage chronic diseases. These tests are often over the span of 24 hours and require a patient to collect their own sample and return it to a lab. With this inconvenience in current procedures, many patients do not get tested often, which makes it difficult for care providers to catch illnesses quickly.

The tedious process of going to a lab for urinalysis creates a demand for an “all-in-one” automated system capable of performing this urinalysis, and this is where the STRE&M device comes in. The current prototype is capable of collecting a sample and pushing it to a viewing window. However, once it gets to the viewing window there is currently not an automated way to analyze the sample without manually looking through a microscope, which greatly reduces throughput. Our challenge is to find a way to automate the data collection from a sample and provide an interface for a medical professional to view the results.

# Solution

Our solution is to build an imaging system with integrated microscopy and absorption spectroscopy that is capable of transferring the captured images to a server. When the sample is collected through the initial prototype our device will magnify and capture the sample as well as utilize an absorbance sensor to identify and quantify the casts, bacteria, and cells that are in the sample. These images will then be transferred and uploaded to a server for analysis. We will then integrate our device into the existing prototype.

# Solution Components

## Subsystem1 (Light Source)

We will use a light source that can vary its wavelengths from 190-400 nm with a sampling interval of 5 nm to allow for spectroscopy analysis of the urine sample.

## Subsystem2 (Digital Microscope)

This subsystem will consist of a compact microscope with auto-focus, at least 100x magnification, and have a digital shutter trigger.

## Subsystem3 (Absorbance Sensor)

To get the spectroscopy analysis, we also need to have an absorbance sensor to collect the light that passes through the urine sample. Therefore, an absorbance sensor is installed right behind the light source to get the spectrum of the urine sample.

## Subsystem4 (Control Unit)

The control system will consist of a microcontroller. The microcontroller will be able to get data from the microscope and the absorbance sensor and send data to the server. We will also write code for the microcontroller to control the light source. ESP32-S3-WROOM-1 will be used as our microcontroller since it has a built-in WIFI module.

## Subsystem5 (Power system)

The power system is mainly used to power the microcontroller. A 9-V battery will be used to power the microcontroller.

# Criterion For Success

- The overall project can be integrated into the existing STRE&M prototype.

- There should be wireless transfer of images and data to a user-interface (either phone or computer) for interpretation

- The system should be housed in a water-resistant covering with dimensions less than 6 x 4 x 4 inches

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