Internship Program at Kyushu Institute of Technology

27th January 2026 - 15th March 2026

Students of Dronacharya College of Engineeringparticipated in International Internship Program at Kyushu Institute of Technology, Japanfrom 27^th January 2026 to 15^thMarch 2026. This internship provided a unique opportunity to work in a globally recognized research environment, enabling students to gain interdisciplinary exposure across Artificial Intelligence, robotics, healthcare systems, neuromorphic hardware, flexible electronics, and computational neuroscience. The experience combined academic learning with real-world research applications while also fostering cultural exchange and global collaboration.

A wide range of research projects were undertaken during the internship. In healthcare AI, intelligent systems were developed for nurse activity recognition using skeleton-based motion data, achieving high accuracy through feature engineering and machine learning techniques. Real-time sign language detection systems using LSTM and Media Pipe were implemented to assist communication for hearing-impaired individuals. Additionally, facial emotion recognition systems such as iEmotion AI were built using deep learning architectures, integrating multiple features like fatigue detection and attention tracking into a unified platform.

Several advanced and specialized projects were also carried out. In underwater environments, YOLO-based object detection and segmentation systems were developed to identify marine life under challenging visual conditions. Robotics research included markerless camera calibration and underwater communication systems, where optimized data transmission ensured stable real-time performance. Autonomous driving and GIS mapping projects involved vehicle detection, directional counting, and 3D simulation using Lanelet2 maps and Open3D, contributing to intelligent transportation research.

Significant contributions were made in emerging research areas such as neuromorphic hardware and AI-driven social monitoring. Work on CNT-PDMS tactile sensors demonstrated the potential of in-sensor computing for robotics and wearable systems. In parallel, AI systems were developed to analyze social interactions in kindergarten environments using advanced tracking and re-identification models. A novel method, OSNET-STAIN, was introduced to overcome identity tracking challenges in uniform environments, improving scalability and accuracy in behavioral analysis.

In the domain of flexible electronics, research on fabrication and characterization of Organic Field-Effect Transistor (OFET) arrays was conducted using Polyimide substrates. Techniques such as Floating Film Transfer Method (FTM) enabled molecular alignment in polymer layers, resulting in improved electrical performance and flexibility. The fabricated devices demonstrated stable switching behaviour and strong charge transport characteristics, highlighting the potential of soft electronics for future applications in wearable and flexible systems. Due to confidentiality agreements, certain datasets such as Kitakyushu Road surveys and experimental data could not be disclosed in detail.

Overall, the internship was a transformative experience that significantly enhanced technical, research, and problem-solving skills. Students gained hands-on experience in tools such as Python, TensorFlow, OpenCV, YOLO, and advanced hardware systems while also developing a deeper understanding of research methodologies. Exposure to international research culture, teamwork, and innovation has laid a strong foundation for future academic and professional growth in Artificial Intelligence, robotics, and emerging technologies.

List of Students and their Project Names: