Zilai and Yeping were integral members of the "Smart Security Robot" initiative, orchestrated by the faculty of engineering, which secured the esteemed first-runner-up award. Their collaborative efforts epitomized groundbreaking interdisciplinary cooperation. Tasked with developing automated tools for detecting anomalies in emergency scenarios, they harnessed state-of-the-art technologies like speech recognition, sound localization, and thermal video detection systems.
Despite grappling with challenges such as technical glitches in TensorFlow Lite and spatial constraints on the robot, Zilai and Yeping spearheaded innovative solutions, overcoming compatibility issues and adopting space-saving techniques gleaned from Mechanical Engineering peers. Through unwavering dedication and nocturnal experimentation, they achieved seamless integration.
This project not only honed their technical prowess in areas like deep learning and Raspberry Pi board inference but also emphasized the importance of practical application and effective teamwork amidst stringent deadlines, showcasing their ability to tackle multifaceted challenges with collaborative problem-solving strategies.
Mr. WANG Yeping
BEng (Hons) in Electrical Engineering
Department of Electrical Engineering
Mr. WANG Zilai
BEng (Hons) in Electronics and Information Engineering
Department of Electronics and Information Engineering
Faculty of Engineering
Zilai and Yeping demonstrated expertise in designing and implementing a speech recognition system as part of the Smart Security Robot project. This involved understanding algorithms, machine learning techniques, and programming languages like TensorFlow Lite to develop a system capable of detecting abnormal sound events.
Zilai and Yeping also contributed to the development of a sound source localization system, which involved designing and implementing algorithms to identify the direction of abnormal sound events using a microphone array. This required knowledge of signal processing, sensor technologies, and spatial localization techniques.
The team's involvement in integrating the speech recognition and sound source localization systems onto a Raspberry Pi board highlights proficiency in hardware integration, software development for embedded systems, and real-time processing. This required understanding the architecture of the Raspberry Pi platform and optimizing code for resource-constrained environments.
They encountered challenges during the integration of different systems, such as conflicts between sound and video detection systems. Overcoming these challenges involved troubleshooting, experimental testing, and debugging techniques, demonstrating problem-solving skills in engineering applications.
Throughout the project, Zilai and Yeping encountered various obstacles, such as spatial limitations on the robot and conflicts during system integration. They demonstrated effective problem-solving skills by devising innovative solutions, such as utilizing space-saving techniques borrowed from Mechanical Engineering students and conducting nighttime experiments to resolve conflicts.
Zilai exemplified the importance of continuous learning by acquiring new skills, such as model inference on a Raspberry Pi board, through self-study and online resources. This reflects their proactive approach to acquiring knowledge beyond formal education to achieve project objectives.
Zilai and Yeping demonstrated effective time management skills in navigating the demanding timeline of the inter-departmental final-year project. They effectively divided tasks, maintained regular progress updates, and adapted to ensure compatibility with other systems, emphasizing the importance of efficient time allocation and coordination in achieving project goals.
The pursuit of knowledge is a lifelong journey! To further expand your knowledge and continue your personal and professional growth. Click and explore the following learning resources:
Speech Recognition System Design
Sound Source Localization System Development
Integration of Systems onto Raspberry Pi Board
Critical Thinking and Problem-solving
