V. Meenakshi Sundaram ¹, Shriram K. Vasudevan ¹, C. Santhosh ¹, R. G. K. Barath Kumar ¹, G. Deepak Kumar ¹

Affiliations
1 Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore, IN

Abstract

The objective of the work is to use hand gesture interface for augmented reality applications. By introducing hand gestures control through leap motion sensor we improve user experience in AR applications. It is first of its kind in augmented reality to interface Leap with Augmented Reality.

Keywords

Augmented Reality, Hardware, Operations, Software, Virtual Reality.

Full Text

   

P. Geethan ¹, P. Jithin ¹, T. Naveen ¹, K. V. Padminy ¹, J. Shruthi Krithika ¹, Shriram K. Vasudevan ¹

Affiliations
1 Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore, IN

Abstract

Augmented reality is a new technology which is capable of presenting possibilities that are difficult for other technologies to offer and meet. AR will really alter the way individuals view the world. Augmented reality X-Ray Vision is an emerging concept. While AR deals with virtual and real objects coexisting in the same space, AR X-Ray Vision is a subdivision of the broad spectrum of AR, which provides a "see through" vision among real world objects. In this paper, we have thoroughly analysed the existing methodologies dealing with AR X-Ray Vision and we have come up with a convenient method that enables easy implementation.

This paper deals with creating a methodology to provide an X-Ray vision using the anaglyph technique and finally integrating it with the Leap Motion Controller to enable gesture interaction to move the window around through which the point of interest can be viewed. The limitations of the suggested methodology have also been discussed. This system enables the user to perceive depth between two regions with the help of just anaglyph glasses without the use of any head mounted display devices.

Can be extended to that of medical field, where X-Ray vision is of increasing importance to view the layers of skin and bones of a patient giving the doctors and surgeons an approximate depth perception.

Keywords

Anaglyph, Augmented Reality, Depth Perception, Gesture Interaction, Leap Motion Controller, X-Ray Vision.

Full Text

   

K. S. Sivaraman ¹, S. Gautam ¹, S. Sarvesh ¹, Archit Khullar ¹, A. Baskar ¹, Shriram K. Vasudevan ¹

Affiliations
1 Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham (University), Coimbatore, IN

Abstract

Objective: This research aims at formulating a method to categorise a given class of objects by obtaining a weighted matrix computed as explained below. Methods/Analysis: The method deployed can be branched into two phases: Training and Testing. In the first phase, a set of images of the concerned objects are taken. By set of images, one can refer to images of different objects, or different positions of the same object. The features are then, extracted for these input images and stored in the database as vectors. Any computation hence forth, is performed using these vectors. In testing stage, the algorithm uses its knowledge to identify the input image to a specified class. Findings: Our method is computationally inexpensive since all the calculations are performed on the basic grounds of matrix operations. This method is not just limited to the domain of object recognition alone. Any real-time entity that can be statistically represented in a vector form can be deployed. All that is required of the application is that the range of vectors is defined so as to obtain the minimum components and maximum components, individually. Once this is obtained, the algorithm will be sufficient to identify any input and will accordingly determine the category to which it belongs. The only challenge identified is that the range of vectors obtained from the input data for various categories must not overlap. That being the case will result in multiple hits or in simpler words, will give an incorrect result. Further work can be implemented on how to make the algorithm independent of this dependency. Also, the algorithm improves the results through various illumination and scaling conditions and this has been discussed in results and analysis section.Even with the existing methods to recognize an object, this algorithm can be combined to categorize or classify objects. Conclusion/Application: The proposed algorithm successfully classifies the input image into one of the trained categories by identifying the features followed by computing these obtained features as prescribed the given algorithm.

Keywords

Geometrical Modelling, Object Detection, Object Identification, Object Recognition, Weighted Matrix.

Full Text

   

B. Ramya Sundaram ¹, Shriram K. Vasudevan ², E. Aravind ¹, G. Karthick ¹, S. Harithaa ¹

Affiliations
1 Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore - 641112, Tamil Nadu, IN
2 Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore - 641112, Tamil Nadu, IN

Abstract

Background/Objective: The Indian automobile market has seen a drastic change in its trends over the past decade with several road commuters opting for mid-range sedans and SUVs, owing to the safety features of cars that two-wheelers can never provide. At times, the driver is not fully aware of his surroundings, leading to inconveniences and compromises on safety. Methods/Statistical Analysis: This problem has several facets to it. Blocked vision due to a large vehicle in front is a major hassle that persists especially during heavy traffic, in turnings and in narrow lanes. Bright headlights at night cause discomfort and troubled vision to drivers. It is the worst nightmare of a “fuel-conscious” driver to get caught in a traffic jam when he could have chosen a different lane and or to be forced to return back due to blocked roads. The most frustrating experience for any driver would be to get stuck under the sweltering sun in a road either due to a flat tire or an empty fuel tank. Result/Findings: These issues could be solved if the driver is given constant inputs about vehicles near him and the fuel level, battery conditions and tire pressure status. Providing information from other vehicles could be facilitated through vehicle-to-vehicle communication. Conclusion/Application: These applications can be incorporated into the future self-driving cars. This application also increases the safety of the drivers thereby decreasing the road accidents.

Keywords

Electromagnetic Field, Radio Frequency Identification (RFID) System, Sensors, Tag, Vehicle-to-Vehicle Communication

Full Text

   

V. Parthasarathi ¹, M. Surya ¹, B. Akshay ¹, K. Murali Siva ¹, Shriram K. Vasudevan ²

Affiliations
1 Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham (University), Coimbatore - 641112, Tamil Nadu, IN
2 Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham (University), Coimbatore, IN

Abstract

Background/Objectives: This paper focus on the necessity of intelligent traffic system and the peculiar way of implementation with embedded system tools. Here it is implemented using an object counting methods and detection of emergency vehicles simultaneously thereby control the traffic signals based on the priority outcome. Methods/Statistical analysis: Presently various system do provide a cost effective solution, but the rate of successful operation is bad. Inductive loop detectors installed under surface, this fails in case of poor road condition and so. In the other system, the density is found by installing IR detectors along the side of the lane. These systems operate less efficiently where they are not applicable in the real time process. This method uses image acquisition method using a real time live video stream and the algorithm is processed using MATLAB. Results/Findings: The results obtained with the prototype are much encouraging and the system does help the present traffic control system to be more efficient. Conclusion/Application: Computer Vision being one of the most researched are for the future technologies, this system will add gain to this sector with efficient operation replacing the current primitive timer traffic control system. This helps the emergency casualties to be attended quickly without panic of traffic congestion.

Keywords

Accident Avoidance, Intelligent System, MATLAB, Priority Outcome, Signal, Smart Traffic Control

Full Text

   

S. Athira ¹, Shilpa Gopal ¹, Shilpa Gopal , G. H. Gowri Krishna ¹, Shriram K. Vasudevan ¹, Gowri Krishna GH

Affiliations
1 Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham (University), Coimbatore - 641 112, Tamil Nadu, IN

Abstract

Background/Objectives: Providing security to systems is one of the major challenges faced in day-to-day life. Biometrics plays a vital role in ensuring security. Out of the different existing recognition systems available - namely face, finger, gait, retina and so on, sclera recognition system gives out better performance. Sclera is the white part of the eye, which is unique and consistent in nature because of which it is chosen for recognition. In this paper, we analyzed the existing sclera recognition system with both human and animal eye images. Methods/Statistical Analysis: In this paper, we compared the performance of the algorithm with both human and animal eye images. The animals we considered for the algorithm analysis include deer, buffalo and lion. Human eyes are the most observable due to the presence of more sclera area. The blood vessel patterns present in the sclera region are stable over lifetime and unique person by person, thus making it appropriate for identification. The results show that the algorithm works better for human eye. Results/Findings: In this paper, we compared the extracted input vessel structure with that in the database and verify whether the input is authorized or not. It is observed that the system underperforms for animal eye images, whereas it shows an acceptable performance with human eye images. Conclusion/Application: The results prove that the algorithm works satisfactorily for identifying human. It can be incorporated with other recognition systems to build up a multimodal biometric system that can provide better security than the existing systems.

Keywords

Biometrics, Feature Extraction, Sclera, Segmentation

Full Text

   

K. Murali Siva ¹, V. Parthasarathi ¹, B. Akshay ¹, M. Surya ¹, Shriram K. Vasudevan ²

Affiliations
1 Department of Electrical and Electronics Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore - 641112, Tamil Nadu, IN
2 Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore - 641112, Tamil Nadu, IN

Abstract

Background/Objectives: To ensure pedestrian safety in highways predominantly at night. Application: By introducing piezoelectric sensors embedded on highways, which automates the notification lamps that help both pedestrian and drivers to know each other’s presence. Methods/Statistical Analysis: The basic method we implement is getting the feed of digital HIGH and digital LOW from the piezoelectric crystals. The state of the pedestrian cross decides the output signal of the notification lamp. This helps the fast drivers on the highway to adjust their acceleration with prior alert of movement on the road. The prototype result with few minutes delay of glowing, the notification lamp can be set in real time with little more depending on the length of the cross. Findings: The night time travelers on the highway have the difficulty of vision due to optical problems of the front vehicle glass. The irritation due to high beam of the opposite vehicles distract the proper vision of the road. The pedestrians from local area are becoming a casualty of this situation. And the speed at which the drivers come is not possible to reduce in small period of time. Prior alert is required for this.

Keywords

LED Lamp, MSP430, Piezoelectric Transducer, Vibration Analysis

Full Text

   

Shriram K. Vasudevan ¹, P. Prakash ¹, P. Sudhakar ², Srivathsan Srinivasan ¹

Affiliations
1 Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham (University), Coimbatore - 641112, Tamil Nadu, IN
2 Department of Information Technology, M. Kumarasamy College of Engineering, Karur - 639113, Tamil Nadu, IN

Abstract

Background Objectives: Data transmission over a communication channel, should provide important facilities to be added, including data framing, error checking and to manage the channel. Methods/Stastical Analysis: This is a complete review paper and theoretically we intend to explain the basics of SONET / SDH, Architecture, Bit rates, Netowork configurations etc. All these are standardised and approved by ANSI. Conclusion: One would get to know what Synchronous Optical Network / Synchronous Digital Hierarchy (SONET/SDH) is all about and how exactly are they used through this paper. Also, the merits and de-merits are completely analysed.

Keywords

Network Elements, Network Configuration, Optic Fiber, PDH, SDH, SONET, Versions of Network Cable

Full Text

   

Shriram K. Vasudevan ¹, C. Vivek ²

Affiliations
1 Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham (University), Coimbatore - 641112, Tamil Nadu, IN
2 Department of Electronics and Communication Engineering, M Kumarasamy College of Engineering, Karur -639113, Tamil Nadu, IN

Abstract

Objective: The idea is to upload files into cloud using gestures. A “Gesture” is a form of movement of part of a body, especially the hand or the head, to express an action. Waving of the hand over the phone is used as a gesture to export files into the cloud. Methods/Analysis: The type of the file to be uploaded into the cloud can be either a picture or a video. This is accomplished using an application similar to gallery. To perform the task, the application is invoked to view a picture or video, when the hand is waved over the phone. The gesture is recognized and the currently viewed file is uploaded into the cloud. The cloud service used here for uploading is Dropbox. The size of the media files is generally large and uploading it will take time, so the size is reduced through a compression algorithm. There is a buffer which tracks the uploading part and will see to that, that the entire media file is uploaded into the cloud. Findings: Through this application the file can be uploaded into the cloud through a gesture easily and effectively. Also, it is found that the application developed is found to be stable in tough testing conditions. Application/Improvements: This app reduces the human effort to a large scale and most importantly it does not occupy more space in the handheld device.The same app can be further ported to IOS for apple phones and IPads.

Keywords

Cloud, Data Compression, Dropbox, Efficient and Easier Interaction,Wave Gesture

Full Text

   

P. Ravali ¹, Shriram K. Vasudevan ², R. M. D. Sundaram ³

Affiliations
1 Department of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Bangalore – 560035, Karnataka, IN
2 Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Coimbatore – 641112, Tamil Nadu, IN
3 Software Architect, Wipro Technologies, Bangalore –560076, Karnataka, IN

Abstract

This paper presents the working of Open Air Interface, advantages and limitations of an Open Air Interface. Open Air Interface is an outcome of experimental research by the Mobile Communications Department at EURECOM. The primary aim of the Open Air Interface technology is to improve the emerging industrial air interface standards such as LTE and 5G regarding spectral, algorithmic and protocol efficiency. In this OAI development the operators can access the software and get the hardware to a large scale networks making it open source and experimenting on original ideas in probable radio propagation and applications. This paper presents the working of OpenAirInterface, advantages and limitations of an Open Air Interface. It also presents the support it is giving to the network world and how it can be improvised.

Keywords

EURECOM, Long Term Evolution, OpenAirInterface, Repository

Full Text