Michael Feuerherm
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Project Areas: RFID, Mechatronics
Project #1 Title: RFID-Based Animal Tracking and Monitoring System
Project Description: This project focuses on the design and implementation of a scalable, low-power RFID (Radio Frequency Identification) system for tracking and monitoring animals in real-time. The system aims to improve data collection for applications such as livestock management, wildlife research, and pet tracking.
Students will develop an integrated solution consisting of RFID tags attached to animals, strategically placed RFID readers, and a central data processing platform. The project will involve hardware design (antenna selection, reader circuitry, and power management), embedded systems programming, and wireless communication protocols. Data collected from the RFID system will be transmitted to a backend interface, where it can be visualized and analyzed for movement patterns, location tracking, and behavioral insights.
Potential challenges include optimizing read range and accuracy, minimizing power consumption for long-term deployment, handling signal interference in complex environments, and ensuring reliable data transmission. Students will also explore system scalability and cost-effectiveness for real-world applications. The tentative titles of possible sub-projects are:
- Power Systems
- Digital Signal Processing
- Telecommunications
Desired Technical Skills
- Antenna Design
- Digital Signal Processing
- Power Management
- Radio Transceiver Design
Project #2 Title: Smart Automated Gardening System
Project Description: This capstone project entails the design and implementation of an intelligent, automated gardening system that optimizes plant growth through real-time environmental monitoring and control. The system integrates embedded hardware, sensor networks, and software algorithms to autonomously manage key variables such as soil moisture, temperature, humidity, and light levels.
Students will develop and a microcontroller-based platform capable of collecting data from multiple sensors and making decisions to actuate irrigation systems, lighting, and ventilation. The project may incorporate wireless communication (e.g., Wi-Fi or Bluetooth) to enable remote monitoring and control via a mobile or web application. Advanced implementations can include machine learning models or predictive algorithms to optimize watering schedules and resource usage based on historical data and environmental trends.
Areas of technical interest could include power management, system reliability, sensor calibration, real-time control, and user interface design. The final system should demonstrate scalability, energy efficiency, and ease of use, with potential applications in residential gardening, greenhouses, and sustainable agriculture.
Desired Technical Skills:
- Power Management
- Microcontrollers
- Actuator implementation and control
- Data processing