Senior Design Projects - Fall 2023 Showcase

In music, guitarists rely on guitar pedals to creatively shape their sound. These pedals typically employ analog or digital processing methods, yet each has unique advantages and disadvantages. However, what if there was a device that could combine the advantages of both digital and analog pedals? Our project addresses this challenge by designing a guitar pedal that combines analog signal processing with a digital interface. By employing analog circuitry for effects and leveraging digital controls, we aim to achieve a device that offers the best of both worlds. The sound quality of an analog pedal with the ease of use of a digital pedal. Essentially, our senior design project seeks to bridge the gap between analog and digital guitar pedals, offering a compact, versatile, and high-quality multi-effects device that caters to musicians' unique preferences and demands.

This project presents an Internet of Things (IoT) based Pet Feeding System, a cutting-edge solution designed to revolutionize the way pets are fed. The system is cleverly designed with a food storage and distribution mechanism that operates on a predetermined schedule and distributes a specific amount of food to ensure that pets get the right amount of food at the right time. The system is further enhanced with a microphone and camera that turns on and makes a sound to call for the pet when the device starts feeding. An outstanding feature of this system is its ability to distinguish between multiple pets in a household. It uses advanced image recognition technology to identify different pets and provide personalized feeding recommendations accordingly.

The pioneering air quality sensor project introduces an innovative, cost-effective, and high-precision sensor technology to combat the rising concerns of air pollution. This groundbreaking approach integrates three distinct power options—charging port, removable battery, and solar panels—meticulously considering cost-effectiveness, sustainability, and real-time data transfer capabilities. Overcoming challenges such as gas detection limitations, calibration requirements, and weather dependency, our team employed strategic calibration procedures, weather-resistant design, and efficient data processing to deliver a reliable and affordable air pollution monitoring device. The sensor ensures longevity in harsh environmental conditions by prioritizing robust housing and protective measures. The project's foundation lies in a comprehensive Needs Feasibility Analysis supported by client engagement, user surveys, and extensive market research. Transitioning into the Feasibility Assessment phase, rigorous scrutiny ensures technological compatibility, cost-effectiveness, and market readiness. Furthermore, the project prioritizes ethical and legal compliance, embracing a holistic and sustainable approach. Potential risks are systematically identified and mitigated through adept Risk Analysis, ensuring resilience and sustained success. Positioned as a transformative solution in air quality monitoring, this project is primed to meet diverse global community needs. 

"In addition to electrical engineering expertise, the project included a comprehensive overview of health and safety, environmental considerations, sustainability, manufacturability, outcomes assessment, lifelong learning, and conclusions. This paper summarizes the key elements of the project so that the reader can quickly understand the scope and significance of the final product.

First, our automatic charging trolley uses the STM32H750 development board:

With wireless charging function: using infrared sensing or photoelectric sensing to find the charging pile in the specified location, to realize the automatic wireless charging function, at the same time, the trolley will display the power level and return to the charging pile for charging, with a simple power level display function.Automatic tracing function: using infrared or photoelectric sensing to realize automatic obstacle avoidance or automatic tracing function, which can allow the cart to return to the charging pile to charge automatically when the battery is low.Using visual shape edge and distance to judge obstacle avoidance.Integrating obstacle avoidance sensors, such as infrared sensors, ultrasonic sensors, or cameras, so that the cart can detect the obstacles around it.Comprehensive testing of the whole system, including the charging function, the charging function, the charging pile, and the charging pile, with a simple power display function. Including charging function, obstacle avoidance function and communication function.Optimize the system based on the test results to ensure its stability and performance.The solution will be implemented using Python vision."