Informatics Publishing Limited

G. Govardhan ¹, S. Javeed Hussain ¹, S. A. K. Jilani ¹

Affiliations
1 Department of Electronics and Communication Engineering, MITS, Madanapalle, IN

Abstract

Objectives: In present days, as the technology improves day by day, every one seems to automate most of the possible things to take advantage in providing ease in life. The main objective of this paper is to develop project which monitors the weather with temperature, pressure and humidity values. Method: The proposed method is to build our very own weather dashboard, using Raspberry pi SenseHat and wifiusb nano adapter which captures the weather inside and outside of house over time and sends the data to ThingSpeak. Findings: The code used for the proposed method is developed in python language, which is a default programming language provided by Raspberry Pi and Store’s the results in new channel API Thing speak key, which is an IoT application. Improvements: The reliability of the proposed work can be further improved by using Wireless Sensor Nodes at different places.

Keywords

API Key, Raspberry Pi, SenseHat, Thing Speak, Wi-fi Adapter.

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K. Sai Venu Prathap ¹, S. A. K. Jilani ¹, P. Ramana Reddy ²

Affiliations
1 Electronics & Communications, MITS, Madanapalle, Andhra Pradesh, IN
2 JNTUA CE, Ananthapuramu - 515002, Andhra Pradesh, IN

Abstract

Image Mosaicing is a technique of combining multiple partial scene images of a scene to form a large image that contains total information of every partial image. The partial images are taken at different views, from different sensors in real-time. Scale Invariant Feature Transform algorithm utilized to implement feature detection and feature extraction for feature vectors. Feature matching is obtained with Euclidean distance between feature vectors. Homography matrix is computed to map the feature points of one image with the feature points of another image. Image warping is a technique used to creative purpose and changes the geometrical values of an image. Artifacts of an image can be reduced with Blending process. Histogram equalization is implemented to reduce artifacts and seams of a mosaic image. This paper depicts an implementation of Mosaicing with a real-time images of a scene and calculated various parameters like scaling, rotation and affine. Horizontal and vertical real-time Mosaicing is executed with different images and calculated their elapsed time and PSNR.

Keywords

Blending, Homography, Histogram Equalization, Mosaicing, SIFT

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K. Mohan ¹, P. Chandrasekhar ², S. A. K. Jilani ³

Affiliations
1 Vels University, Pallavaram, Chennai - 600117, Tamil Nadu,, IN
2 Department of Electrical Engineering, Vels University, Pallavaram, Chennai - 600117, Tamil Nadu,, IN
3 Department of E.C.E, MITS, Madanapalle, Chittoor - 517325, Andhra Pradesh,, IN

Abstract

In day to day, the Object Liveness Detection and Genuine Face recognition became important in many real time applications such as security systems with user authentication, live video processing, Object Identification, Object Recognition and many. Most of the existing systems for Face recognition and anti-spoofing classifier is accomplished to detect object features and finds spoofing attacks on all subjects. However, by considering the individual differences among several objects, the basic classifier cannot simplify well to all subjects. In this work, the proposed system allows to select specific object based on Region of Interest (ROI) and extract features of ROI, then recognises face and later check for spoofing attacks using Fuz-SVM classifier specifically trained for each object, which avoids the interferences between several objects. Moreover, by considering all possible rare and uncommon fake samples for training, we propose a combined Histogram of Oriented Gradients with Local Phase Quantization (HOG-LPQ), which makes it practical to train well performed individual Object to its certain face with liveness detection and, the proposed system includes not only processing of specific selected object and also extracts features of blurred images. We performed experiments on various real time objects with exiting data base; the details are discussed in the prospect of the proposed approach.

Keywords

Authentication, Fuz-SVM, Genuine, Histogram of Oriented Gradients, Local Phase Quantization, Liveness Detection, Region of Interest (ROI)

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T. Syed Akheel ¹, S. A. K. Jilani ², K. Kanthamma ²

Affiliations
1 P.V.K.K Institute of Technology, Anantapur, IN
2 MITS, Madanapalli, IN

Abstract

Face is an important biometric feature for personal identification. Human beings easily detect and identify faces in a scene but it is very challenging for an automated system to achieve such objectives. Hence there is need to have reliable identification method for interacting users .In this paper we discuss past research on biometric face feature extraction and recognition of static images. We will present implementation outline of these methods along with their comparative measures and result analysis.

Keywords

Face Recognition, Feature Based Methods, Fisher’s Linear Discriminant (FLD).

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