A. R. RevathiSRM-Valliammai Engineering College, Chennai · Information Technology
A. R. Revathi
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Working as Associate Professor in SRM Valliammai Engineering College. My domain interest are Image Processing, Internet of Things, Machine Learning and Data Science
Skills and Expertise
September 2017 - present
SRM Valliammai Engineering Colleg
- Professor (Associate)
- Teaching and Research work
Internet of Things (IoT) become an emergent platform in wireless technologies in design of electric vehicles (EVs) and hybrid electric vehicles (HEVs). Dynamic energy storage systems, batteries can be damaged due to overcharging/discharging and their mass penetration deeply affects the grid. For circumventing the likelihood of damage, the EVs and H...
A Review on the Detection of Skull by Forensic Analysis
In the present invention, we depict an efficient and highly scalable parallel architecture to segment input images containing tabular data with and without borders into cells and reconstruct the tabular data while preserving the tabular format. Many state-of-the-art algorithms have been developed that can be used for the purpose of OCR but extracti...
REVIEW OF INTELLECTUAL VIDEO SURVEILLANCE THROUGH INTERNET OF THINGS
Introduction to IoT for Beginner
Artificial intelligence is ruling all industrial sectors and has its hand on the medical and healthcare field too. Cough is a symptom of divergent respiratory disorder diseases from a common cold to the current coronavirus disease. Cough is not only extant in humans, but it similarly found to be existing in numerous animals primarily in pigs . C...
The design system of the AI based control adaptive automation system consists of using the multiple algorithms that are initiated for the cooperative working of the IOT devices and the Controller devices. The private storage devices are maintained to store the PyNLPi commands which are used to control the corresponding IoT sensors. The lower level...
The Digital Revolution popularly known as the Third Revolution is the adaptation to the computers and digital records. The digital revolution encompasses diverse sectors inclusive of NLP, ASR and AI. These schemas form a semantic network which solves and eases out major user tasks. The term speech recognition is a riddle wrapped In an enigma closel...
In the recent trend of the real world, people are interested in automation of environmental works such as protection of historical materials, buildings, monitoring small objects like important files, school bags, etc. Specifically, many places in India, people gives more importance to tradition and heritage, it is obvious to give protection to trad...
The objective of this paper is to activity recognition using hybridisation of self-adaptive learning particle swarm optimisation algorithm with feed forward neural network (SLPSO-FFNN). Basically, the system consists of four phases namely, Background Estimation (BE), Object Segmentation (OS), Feature Extraction (FE), and Activity Recognition (AR)....
In this paper, a deep learning-based anomaly detection (DLAD) system is proposed to improve the recognition problem in video processing. Our system achieves complete detection of abnormal events by involving the following significant proposed modules a Background Estimation (BE) Module, an Object Segmentation (OS) Module, a Feature Extraction (FE)...
An efficient moving object Segmentation is useful for real time content based video surveillance and Object Tracking. Commonly a foreground is extracted using a mixture of Gaussian followed by shadow and noise removal to initialise the Object Trackers. This technique uses a kernel mask to make the system more efficient by decreasing the search area...
This paper presents a review of human activity recognition and behaviour understanding in video sequence. The key objective of this paper is to provide a general review on the overall process of a surveillance system used in the current trend. Visual surveillance system is directed on automatic identification of events of interest, especially on tr...
This paper presents a survey of activity recognition and understanding the behaviour of human activity in video sequence. The major goal of this paper is to provide a general review on the overall process of a surveillance system used in the current trend. Visual surveillance system is directed on automatic identification of events of interest, esp...
An efficient moving object segmentation useful for real time content based multimedia communication system. Background buffering algorithm is used to construct a reliable background pixel from accumulated background difference and frame difference. Except moving object scape other data is used to construct reliable background information. Once the background model then a post processing step is applied on the obtained object mask to remove noise region and to smooth the object boundary. This technique is used in higher level processing steps of surveillance. This proposed method shows that it is very simple and higher processing speed