The department of CSE has set up a few labs in order to carry out research in the identfied thrust areas. These labs have facilites to conduct research at all levels. Students from Undergraduate and Postgraduate programmes are actively involved in this lab to do research. Also research scholars and faculty members guide these students to do research in these labs. We aim at setting up a reseach hub that would eventually become a center of excellence.
Amrita Multi Dimensional Data Analytics (AMuDA) Laboratory
An unknown number of terrorists opened fire and hurled grenades, when a group of 40 Marine commandos entered Hotel Taj Mahal, which was seized during the 2008 Mumbai attack. By the time firing stopped, the gunmen had slipped away into the maze of corridors and passageways. A chain is only as strong as its weakest link. The Hotel became such a weak link, when no one was able to provide any information to the Marines about the layout of the building. As a result of this, was a three-day hide-and-seek game that resulted in several casualties. Today technology exists that, if properly deployed, could have not only assisted the Marines in their endeavor, but could have also helped forestall such an event from even occurring.
Now the new Amrita Multi Dimensional Data Analytics (AMuDA) Lab at the Coimbatore campus will work to enhance and develop cost-effective technologies that can prevent such disasters from happening.
The lab was inaugurated on November 8, 2012, and is supported with funding received from the Department of Science and Technology (DST). The project will be led by Dr. Vidhya Balasubramanian, Associate Professor; Dr. Latha Parameswaran, Professor and Ms. Smrithi Rekha V., Assistant Professor, all of the Department of Computer Science and Engineering.
“With the help of sensors inside a building for object tracking and localization, the goal of our project is to create a hierarchical extendible data model for indoor information,” explained Dr. Vidhya.
“An indoor information system should not only allow users to view the layout of a building but should also enable querying for information such as exit ways, paths, location of rooms, etc. It should also be able to identify other entities in the buildings like utilities, objects like tables, shelves, etc.,” she further added.
“Using a spatio-temporal database, the represented data is easily stored and queried. This database can provide information on moving objects which occupy only one position at a time, helping track them,” she elaborated. 4 High end Workstation and 6 High end PCs The new lab will take up research in the areas of Spatio Temporal Data Management, Indoor Geographic Information System (GIS), Testing and Development for Indoor Data, High Dimensional Data Analytics and Multimedia Information Retrieval.
Systems developed can be deployed in many buildings with different applications such as in hospitals to query for patients’ rooms. “The growth in pervasive computing has opened the flood gates for many exciting applications for better health-care, more effective emergency response, energy-efficient building solutions, smart and intelligent infrastructures, and inclusive and accessible education. The foundation for pervasive systems is spatial-temporal databases, and specifically indoor information systems, since many of the applications operate indoors,” concluded Dr. Vidya.
Amrita-Cognizant Innovation Laboratory
This lab was established in the year 2012 with the funding from Cognizant Technology Solutions, India. Amrita-Cognizant Innovation Lab has been setup to do research in the areas of Vision, Medical Image Processing, Machine Learning, Surveillance and Cognitive Networking. The objective of the research is to develop innovative ideas, tools and products for vision and image processing and to provide test beds and develop networking products. The lab mainly focuses to provide a platform for understanding the hardware/ embedded systems. This lab helps the department provide an hands on for the students of Master of Technology in Computer Vision and Image Processing.
Many dozens of graduate students have since completed their research in the lab. In addition, the undergraduate senior year students perform experiments and projects in the lab each year - many of them in collaboration with industry. In terms of infrastructure, the laboratory has two sub units:
Computer Vision and Image processing and
Software Defined Radio (SDR)
The Computer Vision and Image Processing units houses the following category of equipments: Digital Video Evaluation Kit , Robotic Kits, Machine Vision System, Development Board for Image Processing and General Purpose Equipment. The current research projects is in the following domain: Image and Video Annotation system using Data Mining Techniques, Multi-Robot Interaction Model, Video Surveillance system for indoor applications - monitoring human activity and behavior analysis, Video Surveillance system for outdoor application - vehicle tracking, license plate recognition, Gesture Recognition, Document Watermarking, Camera captured document image processing. A few projects have been developed and the papers have been published in reputed conferences and journals from this research team.
A wireless day/night surveillance camera and another wireless pan/tilt surveillance camera will help provide students the tools needed to analyze and build surveillance and tracking based applications. Other image and video processing and acquisition devices like a beagle board, a leopard board, AMD HD6670 graphics card, NVIDIA GT 240 graphics card and a kinect are also included.
Some of their projects now ongoing in the lab include Face Detection Algorithms implemented on the beagle board platform using OpenCV, Hand Gesture Recognition and Movement of Robot implemented on I-Robot using MATLAB and Roomba development toolkit, Optical Character Recognition implemented on NI- Vision system using LabVIEW and finally Motion Tracking in Video implemented on datasets captured from TP-Link IP camera using OpenCV. In the lab, students receive exposure to several industrial and open source hardware kits for networking, image and video processing. Students learn about open source software tools such as Python, OpenCL, OpenCV, VTK / ITK and OpenGL.
The Software Defined radio equipment has been used to develop cognitive radio capabilities to the SDR that will allow radios to find free spectrum, regulate radio power consumption, and tailor the radios operation without user intervention. The projects in the SDR domain inlcudes development of spectrum sensing algorithm, setup of low cost cellular networks and the security in Bluetooth and Wireless Sensor Networks. A Universal Software Radio Peripheral (USRP) for Cognitive Radio Development, a tool for rapid prototyping and deployment of software radios are provided.
Mobile and Wireless Networks Lab
Mobile and Wireless Networks Lab (MWN Lab) is functioning under the department of Computer Science and Engineering of Amrita School of Engineering, Coimbatore. MWN Lab caters to the needs of various hardware and software modules for Undergraduate, Graduate Students and Research Scholars of CSE,ECE and EEE departments to carry out their research works in the domain of Mobile and Wireless Networks.
MWN lab is equipped with various Hardware modules like ARDUINO Boards, Scratch Sensor Boards, Single Board Computer based on Mini2440 ARM9 Processor, Hawk Board, Raspberry Pi Board, BlueTooth, ZigBee, Texas CC2500 Wireless Modules, Wi-Fi Modules, GSM/GPRS, GPS Development Boards, LF RFID, HF RFID Development Boards along with Android Based Aakash tablets. 4 PCs, HF-RFID Reader, ARM 9 based Single Board Computer-2, CC2500 , GSM, ZigBee, Bluetooth Modules, Raspberry Pi based SBC TI’s E2430-RF2500 KitA Test Bed integrated with Wired Ethernet, ZigBee, BlueTooth, Wi-Fi, GSM Technologies has been designed and this facility is available for the Researchers to carry out research in the domain of Smart Energy Management.
A few of the on going research projects are:
Third Eye – An Assistive Technology for Visually Challenged Person for easy navigation.
Smart Energy Management aided by Heterogeneous Wireless Technologies.
Provision of Secure and Reliable Wireless Connectivity between Gluco-meter and Insulin Pump.
Energy and Context Aware Wireless Sensor Networks.
PC Hardware Laboratory
PC Hardware Lab houses Hardware and Software modules for conducting PC Hardware Lab to the I year B.Tech students of all branches as a part of Workshop B (EEE180) and to train MCA and M.Tech students in the PC Hardware Domain. This lab has various hardware modules like Motherboards, CPUs of different slot, socket types, different RAM modules, Hard disks, SMPS, CD /DVD Drives, VGA, AGP, graphics cards, NICs,11 PCs Hard Disk Drive, 10 Nos Mother Board, with different network interfaces, Printing Device Hardware modules along with tools and equipments for troubleshooting and maintaining PCs and other related modules. To train the students to develop interactive applications and to impart them knowledge about interfacing of sensors to read various real time physical parameters, we have added 32 numbers of Arduino boards with Scratch Sensor board. This PC Hardware lab has the facilities to demonstrate the working principles of Serial, Parallel, PS/2 and Ethernet Protocols.