Biometrics Laboratory
Biometrics Lab has started its journey from 27th January,2009 which was funded by DeitY,MCIT and Govt. of India.The research scholars have been working on this field for the last six years and also learning and gaining experience in this domain.During the research period, the research scholars have studied several aspects and characteristics of the human face for emerging those facial features in today's information security system.
Laboratory facilities
- One(1) Rack max 4U Server (HP/DL580) with 2.13GHz Intel Xeon Quad Core processor.
- One(1) Dell Studio XPS 1640 Laptop, with 2.40GHz 789 MHz Intel Core 2 Duo processor with 4GB physical memory.
- Three(3) HP Compac desktop computers with 2.80GHz, 3.00GHz, 2.66GHz Core 2 Duo processors and 2GB, 2GB, 1GB physical memory respectively.
- RTG005-USB connected FPGA and Power PC Image Processing System. 5. Sony Make Camera Link Camera, Monochrome, universal power supply with 4mm Mega Pixel Lens, Mini 26 pin camera link connector.
- Flir T650sc Infrared Thermal Imaging Camera of 640 x 480 IR Resolution with thermal sensitivity <30mK@30 degree centigrade.
- One no of HP Z420 Workstation with 3.7 GHz speed. 8. One no of high performance desktop computer of HP Pavilion 21-a256 in All-in-one-desktop PC.
- One no of high performance laptop of model-HP-15-D004tu Notebook PC. 10. One 6 KVA Online UPS. 11. Two nos. of color photo printer, Model No- HP Photo Smart Ink Advantage 6525 e-All-in-one printer.
- One Dell Workstation with Quad-Core Xeon E3-1225,3.10 GHZ, 6M,L3 2GT16GB 1333MHz non-ECC memory in 4 DIMM slots, Intel C206 chipset and 1TB SATA.
- NIKON D5100 VR KIT Camera with accessories of Simplex Pro23 (3 Nos.),65X65 Double Diffuser soft box(3 No’s), Synchronized cable (3 No’s), Power Cable (3 No’s), Safety Cap (3 No’s), Screen-BG-4 Heavy Duty with kig bag, Modeling Bulb (100 Watt), Simplex Flash Radio Trigger, ML-3(Infrared Multitrigger), Tripod (Camera Stand) (5 NOs).
- FLIR E60 Thermo-vision camera with Digital camera flash, built in laser.
- One NVIDIA TITAN Xp graphics Card,with GPU Architecture Pascal,Frame Buffer 12 GB G5X,Memory Speed 11.4 Gbps,Boost Clock 1582 MHz.
Bio-Medical Infrared Image Processing Laboratory
The Bio-medical Infrared Image Processing Laboratory at Tripura University (A Central University) was established on 5th March,2014 funded by Department of Biotechnology(DBT), Govt. of India and has a short experience in thermography related to detection of breast cancer and pain in human body in the domain of Biomedical Engineering. Many aspects and observations of Thermal imaging in Breast cancer and pain detection vased on temperature analysis and image processing have been studied in the area of Medical Thermal Imaging(MTI). The research scholars have been working on Biomedical Engineering based on thermography field for the last two months and also learning and gaining experience in this domain day by day. The Laboratory is contacting various national and international laboratories who are working in the same field i.e., Breast thermography and Thermography for pain detection and also collaborating with PMR Department of Agartala Government Medical College (AGMC) and Gobind Ballav Pant (GBP) Hospital, Agartala for medical consultancy about the pain thermography and Regional Cancer Centre(RCC), Agartala Government Medical College (AGMC), Agartala for Breast cancer related guide and confirmation.
Laboratory facilities
- Flir T650sc Infrared Thermal Imaging Camera of 640 x 480 IR Resolution with thermal sensitivity <30mK@30 degree centigrade.
- One no of HP Z420 Workstation with 3.7 GHz speed.
- One no of high performance desktop computer of HP Pavilion 21-a256 in All-in-one-desktop pc.
- One no of high performance laptop of model-HP-15-D004tu Notebook PC.
- Two nos. of 2TB External Hard Disk.
- Three nos. of 1TB External Hard Disk.
- One 6 KVA Online UPS.
- Two nos. of color photo printer, Model No- HP Photo Smart Ink Advantage 6525 e-All-in-one printer.
Mobile Computing Laboratory
The Mobile Computing Laboratory at Tripura University (A Central University) was established on May,2016 funded by Department of Electronics and Information Technology, Govt. of India.The Laboratory is contacting various national and international laboratories who are working in the same field.
Laboratory facilities
- Dell Precision Tower 5810 workstation.
- Online UPS, 3.0 KVA.
- Samsung xpress M2876ND all in one laser printer.
- CanaKit Raspbery PI 3 Complete Starter Kit-32 GB
- Generio Elementz High Quality Nickel Plated 840 Points Bread Board
- REES52 New USB 2.0 to TTLn UART Module 5 Pin Serial Converter STC Replace FT232n Module 5 pin Cables CP2102 STC .
- Jumper Wires Male to ?Male ,Male to Female,Female to Female,120 pieces.
- ESP8266 Serial Wi-Fi Wireless Transceiver Module for IOT.
- LED Pack-Basic-Ultimatumk,200 Pices,5 Colours.
- Arduino Starter Kit.
- Simple Labs SLAEX039 L293D Motor Shield for Arduino.
- Bluetooth Transceiver Module with TTL Outputs-HC05.
Computer Vision Laboratory
The Computer Vision Laboratory at Tripura University (A Central University) was established on 12th June,2018 funded by Defence Research and Development Organisation (DRDO), DRDO Bhavan, New Delhi and has a short experience of security system and navigation. The research scholars have been working on that field for the last few days and also learning and gaining experience in this domain day by day.
Laboratory facilities
- One no of NVIDIA TITAN Xp graphics Card,with GPU Architecture Pascal,Frame Buffer 12 GB G5X,Memory Speed 11.4 Gbps,Boost Clock 1582 MHz.
- One no of HP Z420 Workstation with 3.7 GHz speed.
- Two no of PTZ High Resolution CCTV Cameras.
- One no of Cloud Storage with 24TB HDD.
- One 6 KVA Online UPS.
- One 49 inch Panasonic Display Monitor.
Patent
Patents Filed by Dr. Mrinal Kanti Bhowmik
Patent 1
A system and method for segmenting suspicious hyperthermic regions from breast thermograms
New Indian Patent Application No:
202031027352
Abstract:
The Appearance of suspicious hyperthermic regions (SHRs) in breast thermograms is the single most marker of breast abnormality. Hence, accurate segmentation and analysis of SHRs are very crucial for grading the degree of severity in breast thermograms. A novel breast abnormality grading approach namely Morphology Model of Suspicious Hyperthermic Regions (MMSHRs) has been proposed here. The proposed MMSHRs method first segments the SHRs and then, the morphology of the SHRs has been analyzed to grade the thermograms according to their degree of severity. The experimental results show that the proposed segmentation method can extract the SHRs more accurately with higher average accuracy rate compared to the other state-of-the-art methods. The segmentation of SHRs is followed by the extraction of morphological features of SHRs, which categorizes the abnormal thermograms into mild abnormal and severely abnormal with classification accuracy of 91% based on the degree of severity present in the thermograms.
Type:
Application
Filed:
June 27, 2020
Publication Date:
Pending
Applicants:
Usha Rani Gogoi (DST - INSPIRE Fellow, Department of Computer Science and Engineering, Tripura University), Mrinal Kanti Bhowmik (Assistant Professor, Department of Computer Science & Engineering, Tripura University)
Patent 2
System and Method for Detecting Object in Adverse Atmosphere by Restoring Degraded Image in Deep Convolutional Layer
New Indian Patent Application No:
202131002651
Abstract:
The present invention discloses a system and method for detecting objects in real-time adverse weather-degraded scenes. A single-stage CNN architecture is adopted, namely, AWDRDNet for detecting objects more accurately in adverse weather-degraded realistic scenes. The present invention relates to a feed-forward deeper convolutional layer comprising a plurality of convolution blocks (B1,..,BK,..,BN) producing better quality of restoration images (RI1,..,RIK,..,RIN); wherein receptive field plays an important role in analyzing local features over degraded scenes. Another key feature of the proposed invention is the clipping of pre-defined multi-scale anchor boxes per cell to a restorated de-convolutional feature map (DC) only at the top of the network, which allows to efficiently reduce time-consumption. In terms of detection accuracy (recall-precision graph and mAP), the results of the reference dataset demonstrates the optimal performance of the proposed model and reveals the performance accuracy in low-light or rainy conditions to be higher than that in dusty or foggy conditions.
Type:
Application
Filed:
January 20, 2021
Publication Date:
Pending
Applicants:
Anu Singha (Ph.D Scholar, Department of Computer Science and Engineering, Tripura University), Sourav Dey Roy (Ph.D Scholar, CSIR-SRF-Direct, Department of Computer Science and Engineering, Tripura University), Mrinal Kanti Bhowmik (Assistant Professor, Department of Computer Science & Engineering, Tripura University)
Collaborating Partners
- Regional Cancer Center (RCC) & Physical Medicine and Rehabilitation (PMR) Department, Agartala Government Medical College (AGMC) and Gobind Ballav Pant (GBP) Hospital of Tripura.
- Jadavpur University, Kolkata-700032, India.
- Department of Life Sciences, New York Institute of Technology, 1855 Broadway, New York, NY 10023, USA.
Research Collaborators
1.Prof. Niharika Nath
New York Institute of Technology (NYIT)
1855 Broadway, New York, NY 10023, USA.
2.Dr. Goutam Majumder
Assistant Professor & Medical Superintendent, Radiotherapy Department
Regional Cancer Center, Agartala Govt. Medical College (AGMC),Govt. Of Tripura.
3.Dr. Abhijit Datta
Professor, Department of Pathology
Agartala Government Medical College (AGMC) and Gobind Ballav Pant(GBP) Hospital, Govt. of Tripura
4.Dr. Satyabrata Nath
Assistant Professor & HOD(I/C)
Physical Medicine and Rehabilitation (PMR) Department Agartala Government Medical College (AGMC) and Gobind Ballav Pant(GBP) Hospital, Govt. of Tripura.
5.Prof. Barin Kumar De (Rtd.)
Professor of Physics
Tripura University (A Central University)
Suryamaninagar-799022, Tripura (W), India.
6.Prof. Debotosh Bhattacharjee
Computer Science & Engineering Department
Jadavpur University, Kolkata, India.
7.Dr. John Peter Oakley
Senior Lecturer,
School of Electrical and Electronic Engineering,
The University of Manchester,
Po Box 88, Sackville Street, Manchester M60 1QD, UK.
8.Prof. Anjan K Ghosh
DAIICT, Gandhinagar, Gujrat, India, Pin - 382007
and Former Vice Chancellor of Tripura University (A Central University).
Visiting Professors for Invited Talks/Lectures
Prof. Ananda Shankar Chowdhury, Jadavpur University, Kolkata, India, has visited on 10th April, 2021 and he has deliered special lecture on "A Computer Vision Walk-through in Video Processing and Healthcare".
Prof. Sankar Kumar Nath (Shanti Swarup BhatnagarLaureate), Department of Geology and Geophysics, Indian Institue of Technology Kharagpur, Kolkata, India, has visited on 27th March, 2021
A Tribute to “Lt. Prof. Dwijesh Dutta Majumdar, Former Emeritus Professor, Computer and Communication Science Division, Indian Statistical Institute, Kolkata” as a Session Chair during the presentation of my first research paper entitled “Artificial Neural Network as a Soft Computing Tool – A case study” in National Seminar on Fuzzy Math. & its Application, 25th-26th November, 2006, Tripura University (A Central University), India.
Prof. Mohammad Kaykobad, Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh has visited on 02-May-2019 and he has delivered lectures on Algorithms and Theory.
Prof. Dipti Prasad Mukherjee, Professor & Head, Electronics and Communication Sciences Unit, Computer and Communication Sciences Division, Indian Statistical Institute, Kolkata has visited Biometrics and Bio-Medical Infrared Image Processing Laboratory on 01-November-2019.
Prof. B.B. Chaudhuri, Professor & Ex-Head, Computer Vision & Pattern Recognition Unit, Indian Statistical Institute, Kolkata and Prof. Mita Nasipuri, Department of Computer Science and Engineering, Jadavpur University, Kolkata has visited Biometrics and Bio-Medical Infrared Image Processing Laboratory during upgradation of DST Inspired Fellow from Junior Research Fellow (JRF) to Senior Research Fellow (SRF) on 27th June, 2016.
Prof. Subhasis Chaudhuri, Director & Professor, Indian Institute of Technology (IIT) Bombay & Prof. Debotosh Bhattacharjee, Department of Computer Science and Engineering, Jadavpur University has visited Biometrics and Bio-Medical Infrared Image Processing Laboratory on 08-February-2015.
