2023.03 – 2024.01
Component Pin Distance Adjustment Prediction Model Based on Machine Vision and Self-Learning
Project Leader, Graduation Design
- Researched a component pin distance adjustment prediction model based on machine vision and self-learning to improve accuracy in electronic assembly.
- Designed and implemented a binocular stereo vision system in Python for high-precision pin detection and distance measurement.
- Developed a polynomial-based prediction function with extensive experiments and data analysis.
- Built a reinforcement learning model in MATLAB (Q-learning, DQN, SoftMax, Thompson Sampling) for optimization.
- Independently modeled and designed the experimental platform, including fixtures and an adjustment platform.
Binocular Stereo Vision System
Experimental Platform
2022.08 – 2023.06
Home-Based Elderly Care System Based on IoT Flexible Display Technology
Team Member, College Student Innovation & Entrepreneurship Training Program
- Developed a wearable elderly-care tracking system monitoring heart health with IoT transmission and flexible display.
- Integrated an STM32 microcontroller, sensors, lead electrodes, and a WIFI module for real-time ECG recording and display.
- Received First Prize at the provincial-level competition and was granted a utility model patent.
PCB Board 1
PCB Board 2