BAVITHRA DEVI

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Cardiac Disease Analysis and Determination Using Discrete Wavelet-Based Ann

Diagnosis of heart disease is complex. ECG plays an important role inthe analysis and diagnosis o... more Diagnosis of heart disease is complex. ECG plays an important role inthe analysis and diagnosis of cardiac disease. Normally ECG signals are affected by different noises and analysis of those signal is also a tedious process.The main objective of the paper is to de-noise and analyze the ECG signal using DWT(Discrete Wavelet Transform) technique. We use the Daubechies wavelet analysis (level 5)technique in DWT for better performance. Then we obtain the decomposed wave.By analyzing the parameters of the decomposed ECG signal we find the disease present in the heart of the patient by applying the decomposed parameters to ANN(Artificial Neural Network). Thus, we can identifythe cardiac disease. This method is very effective because the accuracy of the result is high. Also, the training and testing of the network take very less time. Hence, it is more effective for users.

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Deep Learn Helmets-Enhancing Security at ATMs

2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS), 2019

Automatic Teller Machine (ATM) plays a vital role in our modern economic society. Around 1,30,000... more Automatic Teller Machine (ATM) plays a vital role in our modern economic society. Around 1,30,000 ATM centers are functioning across India. A real-time intelligent video analytics offers advanced monitoring capabilities that gives sophisticated video surveillance to recognize the abnormal activities. Person wearing helmet in ATM center is one of the anomalous activity. In such scenario, an automatic helmet detection algorithm is required to, alert when the person is wearing helmet in ATM. The detection of helmet is obtained using Deep Learning Convolutional Neural Network (CNN) architecture such as VGGNET (Visual Geometry Group) and ALEXNET. The region of helmet is detected using (Region Convolutional Neural Network) RCNN with 15 layers. The performance of this technique has been tested on 880 test images out of 1880 images in a database. The parameters are chosen to compare the different mini batch size and epoch in ALEXNET.

State model based face mask detection

The Automatic Teller Machine plays an important role in the modern economic society. ATM centers ... more The Automatic Teller Machine plays an important role in the modern economic society. ATM centers are located in remote central which are at high risk due to the increasing crime rate and robbery.These ATM centers assist with surveillance techniques to provide protection. Even after installing the surveillance mechanism, the robbers fool the security system by hiding their face using mask/helmet. Henceforth, an automatic mask detection algorithm is required to, alert when the ATM is at risk. In this work, the Gaussian Mixture Model (GMM) is applied for foreground detection to extract the regions of interest (ROI) i.e. Human being. Face region is acquired from the foreground region through the torso partitioning and applying Viola-Jones algorithm in this search space. Parts of the face such as Eye pair, Nose, and Mouth are extracted and a state model is developed to detect mask.

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BAVITHRA DEVI

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