DLBOD: A Deep Learning Framework for Wrong-Way Vehicle Detection in Intelligent Transport Systems Swetanjali Maharana, Sudhir Ranjan Patnaik, Raj Kumar Baliyar Singh, Debasish Padhy Esic 2026 Proceedings 6th International Conference on Emerging Systems and Intelligent Computing, 2026 The exponential growth of vehicles in urban areas poses many challenges, particularly wrong-way vehicle driving, which often leads to critical safety concerns. However, conventional wrong driving detection technologies, such as inductive loops, Radio Frequency sensors, and manual surveillance, are inadequate for a real-time, scalable, and automated monitoring system. This work proposes a Deep Learning-Based Object Detection (DLBOD) framework to detect wrong-way driving vehicles in a real-time environment. The proposed framework integrates detection, tracking and rule-based direction interface techniques for wrong-way vehicle detection, focusing on accuracy, latency, and real-time monitoring. Results demonstrate that RCNN and the YOLOv11 algorithm for a trade-off between accuracy and real-time performance, while the findings of YOLOv11 outperform RCNN in real-time scenarios and support the scalable deployment of Deep Learning-based solutions for proactive traffic safety in smart cities.
SMART Virtual Painter and Mouse System to Improve Online Education with Computer Vision and Deep Learning Features Swetanjali Maharana, Raj Kumar Baliyar Singh, M Preeti Priya, M Aswini Esic 2024 4th International Conference on Emerging Systems and Intelligent Computing Proceedings, 2024 The world of digitization and technological breakthroughs brings about significant changes in business, education, living styles, daily activities, the medical field, and the food industry. The author of this paper presents a novel approach for the computerized academic era in which various obstacles, such as sudden illnesses, natural disasters, and viruses, are not viewed as obstacles but rather serve as inspiration for the development of innovative techniques that improve remote learning and virtual learning. The main goal is to do away with the requirement for physical devices by employing hand gestures to manage the mouse’s functions and position of the cursor. It is implemented using Python and OpenCV, and it uses a webcam as the input device. In order to manage the movement of the cursor and initiate click events, the system monitors hand gestures, extracts characteristics from the hand region, and classes these features. The goal of the suggested system is to offer a practical and affordable alternative for human-computer interaction, especially for those who are physically limited. Mouse activities are made possible by this technology, which recognizes and follows the movements of the pointer on the screen. In a similar vein, the virtual Painter’s goal is to generate a virtual drawing canvas using human fingertips as colour markers and an interface that enables morphological actions between the user and the system. The following sections include the presentation of the technological components, execution, analysis of several associated research factors, and results: section 1 gives brief idea about the introduction and motivation to do this specific research, section II describes the related methods. Section III presents the proposed method, section V shows the implementation of proposed work and concluding part represented by section VI.
RECENT SCHOLAR PUBLICATIONS
DLBOD: A Deep Learning Framework for Wrong-Way Vehicle Detection in Intelligent Transport Systems S Maharana, SR Patnaik, RKB Singh, D Padhy 2026 International Conference on Emerging Systems and Intelligent Computing … , 2026 2026
A Smart Assistive Navigation System for the Visually Impaired Using YOLOv5 S Maharana, S Das, PK Sahu, D Mohanty, O Patnaik International Conference on Machine Learning, IoT and Big Data, 245-254 , 2025 2025 Citations: 1
A New Video Game's Smarter Feasibility Analyzer Using Machine Learning SS Pradhan, S Maharana, BK Mishra Available at SSRN 4797722 , 2024 2024 Citations: 1
SMART virtual painter and mouse system to improve online education with computer vision and deep learning features S Maharana, RKB Singh, MP Priya, M Aswini 2024 International Conference on Emerging Systems and Intelligent Computing … , 2024 2024 Citations: 6
MOST CITED SCHOLAR PUBLICATIONS
SMART virtual painter and mouse system to improve online education with computer vision and deep learning features S Maharana, RKB Singh, MP Priya, M Aswini 2024 International Conference on Emerging Systems and Intelligent Computing … , 2024 2024 Citations: 6
A Smart Assistive Navigation System for the Visually Impaired Using YOLOv5 S Maharana, S Das, PK Sahu, D Mohanty, O Patnaik International Conference on Machine Learning, IoT and Big Data, 245-254 , 2025 2025 Citations: 1
A New Video Game's Smarter Feasibility Analyzer Using Machine Learning SS Pradhan, S Maharana, BK Mishra Available at SSRN 4797722 , 2024 2024 Citations: 1
DLBOD: A Deep Learning Framework for Wrong-Way Vehicle Detection in Intelligent Transport Systems S Maharana, SR Patnaik, RKB Singh, D Padhy 2026 International Conference on Emerging Systems and Intelligent Computing … , 2026 2026
