Project

# Title Team Members TA Documents Sponsor
37 Intelligent Waste Sorting System
 Canyu Li
Han Yin
Mingyang Gao
Wentao Li
 Bo Zhao
Intelligent Waste Sorting System
##Team

-Wentao Li(wentaol5)

-Canyu Li(canyuli2)

-Hanyin(hanyin3)

-Mingyang Gao(mg82)

##Problem

With rapid urbanization, the volume of domestic waste has surged, making correct waste sorting a crucial part of environmental protection and resource recycling. However, current waste sorting in public areas relies heavily on public awareness, leading to a high error rate in source sorting. Incorrect sorting increases the cost of manual processing and can cause entire bins of recyclables to be contaminated and sent to landfills. While large treatment plants have automated sorting lines, there is a lack of compact, efficient, and low-cost automated sorting equipment at the source of waste generation (e.g., schools, office buildings). We need a smarter way to lower the barrier for ordinary people to sort waste, using machines instead of manual labor for initial screening to improve resource recovery rates.

##Solution Overview

Our solution is to design and build an intelligent waste bin integrating computer vision and a fixed mechanical device, deployed in public areas. Users simply throw their waste into a unified drop-in opening. A camera inside the system captures images of the items and uses a pre-trained machine learning model to identify and classify them (e.g., Recyclables, Food Waste, Hazardous Waste, Other Waste). Once identified, a microcomputer triggers the fixed mechanical device (such as servo-driven baffles or push rods) to automatically guide and sort the item into the corresponding internal waste bin. This provides a fully automated, touchless waste disposal process, greatly improving the accuracy and efficiency of source sorting.
Solution Components

##Vision and Control Subsystem

Image Capturing Module: A high-definition camera deployed in the waste drop-in channel to capture clear images while the waste is temporarily stationary or falling slowly.
Processing & Control Unit: A microcomputer (e.g., Raspberry Pi or Jetson Nano) to receive images, run the computer vision model (object detection

Fixed wing drone with auto-navigation

Ziyang An, Zhanhao He, Yihui Li, Zhibo Teng

Featured Project

# Fixed wing drone with auto-navigation

## Group Members

**Zhibo Teng** NetID: zhibot2

**Yihui Li** NetID: yihuil2

**Ziyang An** NetID: ziyanga2

**Zhanhao He** NetID: zhanhao5

## Problem

Traditional methods of data collection, such as using manned aircraft or ground surveys, can be time-consuming, expensive, and limited in their ability to access certain areas. The multi-rotor airfoil UAV being used now has slow flight speed and short single distance, which is not suitable for some long-distance operations. Moreover, it needs manual control, so it has low convenience. Fixed wing drones with auto-navigation can overcome these limitations by providing a cost-effective and flexible solution for aerial data collection.

The motivation behind our design is to provide a reliable and efficient way to collect high-quality data from the air, which can improve decision-making processes for a variety of industries. The drone can fly pre-determined flight paths, making it easier to cover large areas and collect consistent data. The auto-navigation capabilities can also improve the accuracy of the data collected, reducing the need for manual intervention and minimizing the risk of errors.

## Solution Overview

Our design is a fixed wing drone with auto-navigation capabilities that is optimized for aerial data collection. The drone is equipped with a range of sensors and cameras, as well as software that allows it to fly pre-determined flight paths and collect data in a consistent and accurate manner. Our design solves the problem of inefficient and costly aerial data collection by providing a cost-effective and flexible solution that can cover large areas quickly and accurately. The auto-navigation capabilities of the drone enable it to fly pre-determined flight paths, which allows for consistent and repeatable data collection. This reduces the need for manual intervention, which can improve the accuracy of the data and minimize the risk of errors. Additionally, the drone’s compact size and ability to access difficult-to-reach areas can make it an ideal solution for industries that require detailed aerial data collection.

## Solution Components

### Subsystem #1: Aircraft Structure and Design

* Design the overall structure of the plane, including the wings, fuselage, and tail section

* Use 3D modeling software to create a digital model of the plane

* Choose materials for construction based on their weight, durability, and strength

* Create a physical model of the plane using 3D printing or laser cutting

### Subsystem #2: Flight Control System

* Implement a flight control system that can be operated both manually and automatically

* For manual control, design a control panel that includes a joystick and other necessary controls

* For automatic control, integrate a flight controller module that can be programmed with waypoints and flight parameters

* Choose appropriate sensors for detecting altitude, speed, and orientation of the plane

* Implement algorithms for stabilizing the plane during flight and adjusting control surfaces for directional control

### Subsystem #3: Power and Propulsion

* Choose a suitable motor and propeller to provide the necessary thrust for the plane

* Design and integrate a battery system that can power the motor and control systems for a sufficient amount of time

* Implement a power management system that can monitor the battery voltage and ensure safe operation of the plane

### Subsystem #4: Communication and Telemetry

* Implement a wireless communication system for transmitting telemetry data and controlling the plane remotely

* Choose a suitable communication protocol such as Wi-Fi or Bluetooth

* Develop a user interface for displaying telemetry data and controlling the plane from a mobile device or computer

## Criterion for Success

1. Design and complete the UAV model including wings, fuselage, and tail section

2. The UAV can fly normally in the air and realize the control of the UAV, including manual and automatic control

3. To realize the data monitoring of UAV in flight, including location, speed and altitude

## Distribution of Work

**Zhibo Teng:** Aircraft Structure and Design

**Yihui Li:** Aircraft Structure and Design

**Ziyang An:** Flight Control System Power and Propulsion

**Zhanhao He:** Flight Control System Communication and Telemetry