A5023080048- Video Surveillance and Tracking Methods
- Video Analysis and Summarization
- Vehicle License Plate Recognition
- IoT and Edge/Fog Computing
- Advanced Image and Video Retrieval Techniques
- Multimedia Communication and Technology
- Online Learning and Analytics
- Handwritten Text Recognition Techniques
- Advanced Text Analysis Techniques
- Currency Recognition and Detection
- Natural Language Processing Techniques
- Advanced Neural Network Applications
- Blockchain Technology Applications and Security
- Advanced Vision and Imaging
- Autonomous Vehicle Technology and Safety
- Teaching and Learning Programming
- Artificial Intelligence in Healthcare
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Healthcare Systems and Public Health
- Innovative Teaching Methods
- Emotion and Mood Recognition
- Robotics and Automated Systems
- Wireless Body Area Networks
- Brain Tumor Detection and Classification
Savitribai Phule Pune University
2013-2025
Indira Gandhi Institute of Technology
2024-2025
MIT Academy of Engineering
2019-2024
Shri Jagdishprasad Jhabarmal Tibrewala University
2016-2019
Sinhgad Dental College and Hospital
2012-2015
System in this paper is designed and implemented with Visual C++ software Intel's OpenCV video stream processing system to realize the real-time automatic vehicle detection counting. Expressways, highways roads are getting overcrowded due increase number of vehicles. Vehicle detection, tracking, classification counting very important for military, civilian government applications, such as highway monitoring, traffic planning, toll collection flow. For management, vehicles critical step....
The recent progress of the Internet Things (IoT) for various smart city applications into Industry 4.0 resolution offers different advantages and challenges. E-healthcare is one vital emerging as Healthcare standard remote health monitoring. originally a sub-class standard. consists layers such edge layer, fog cloud storage blockchain layer. For systems, main challenges are concerning medical data security privacy-preserving while processing from edge-layer to layer via computing....
<p>Today's teenagers are dealing with anxiety and stress. Anxiety, depression, suicide rates have increased in recent years because of social rivalry. The research is focused on detecting students due to exam pressure reduce the potential harm a person's wellness. Research performed databases for anxious states based psychological stimulation (DASPS) our own database. measured signal divided into sub bands that correspond electroencephalogram (EEG) rhythms using Butterworth sixth-order...
Current smart assistants, despite their widespread adoption, remain limited by inability to interpret and adapt human emotions, diminishing potential as emotionally intelligent systems (EIS). To address this gap, we propose Dhriti, a Human-Centered Affective System that integrates Histogram of Oriented Gradients (HOG)-based facial emotion recognition with adaptive music therapy create Responsive (RAS). Dhriti functions an Emotional Wellbeing Platform (EWP), leveraging computer vision analyze...
ABSTRACT Cloud‐based Electronic Health Records (EHRs) have seen a substantial increase in usage recent years, especially for remote patient monitoring. Researchers are interested investigating the use of Healthcare 4.0 smart cities. This involves using Internet Things (IoT) devices and cloud computing to remotely access medical processes. focuses on systematic gathering, merging, transmission, sharing, retention information at regular intervals. Protecting confidential private patients...
Now day's use of big data platforms is increasing for storing large amount end user's remotely on servers. Cloud computing storage was widely used data, but cloud only providing the tasks not supporting important functionalities like computation and database operations. These operations are supported by systems hence currently platform in increases worldwide enterprises. Sharing sensitive information resulted into reduction costs enterprises users to provide value added personalized...
In recent years, object detection and tracking has been a dynamic research area. Rapid development of the multimedia associated technologies urge processing huge database video clips. The efficiency lies on search methodologies utilised in system. Usage unsuitable may make system ineffective. Hence, effective is an essential criterion for searching relevant videos from collection videos. This paper proposes unique where segmentation, feature extraction, are combined perfectly using various...
So far, little research has been conducted into developing a computer vision application using object oriented approach. These applications contain numerical calculations and complex data structures. Mathematical models are generally used for such numeric calculation. Unified Modeling Language (UML) is powerful modelling tool to represent any problems visually. This paper demonstrates the usage of UML diagrams effective solution tracking in video. Object detection an inevitable step many...
Face recognition from low quality videos is one of the major challenges prevailing in video surveillance system. Several works have been contributed towards face recognition, but suffered due to fact that part with resolution. Also, using traditional feature extraction schemes make process be tough. This paper introduces a novel descriptor and classification scheme for recognizing videos. Here, frames are sequentially provided Viola–Jones algorithm detecting part, improved by applying...
Detection and tracking of moving object in the video has turned into a fascinating zone exploration field computer vision wide applications fields like surveillance, service robots, public security target recognition. Although researches have proposed many approaches for detection, robustness remains huge challenge. In this paper, we hybrid method detection using motion estimation by parallel kalman filter. is performed analyzing parts corner shape feature extraction. The filter used to...
In multimedia-based learning systems, there is need for segmenting and organizing lecture videos into topic subtopics.Fundamental problem in any video to give semantic query effectively retrieve relevant contents form long video.Effective search capability the students can be provided if proper browsing facility provided.Automatic segmentation highly desired because of high cost manual segmentation.In this paper, we propose a general system method educational that based on knowledge base...
Virtual Tour can be created stored in some MB's or GB's and accessed by a user from any corner of the world having strong internet connection. Many colleges have represented their campus digital format so many student's an idea how college looks. The way representing virtual tour most are same using 360-degree which 2D images stitched together to form long continuous image. But our has real objects that 3D Gaming environment. We combined create actual environment where move around. used...