Machine Vision

Vision
To be a globally recognised centre of excellence in the field of Machine Vision providing/imparting quality education, interdisciplinary research and promote further collaboration with various industrial partners

Mission

• To promote scientific discovery and the invention of smart systems and Intelligent Technologies
• Interdisciplinary research and education to nurture future experts in IoT research by imparting interdisciplinary knowledge, innovative ideas, critical thinking and practical skills.
• To undertake cutting edge research and education in the areas of networking systems and computational intelligence, and to derive evolving, comprehensive and integrative methods for solving various societal problems to make an impact on sustainable living.
• To be the premier source of well-educated network and IoT engineers, fostering strong academic, industrial, and social ties, and thereby achieving significant societal impact.
• To carry out innovative research and development that contributes to improve social impacts in the Country.
• To build the capacity of technical personnel working in the various institutions.
• To provide consultancy, training, and outreach services for stakeholders in the region including social institutions.

Objectives and Research Activities
To realize its vision and accomplish its mission, the centre will have the following specific objectives:
To carry out advanced research activities in the area of Machine Vision cater to the needs of the industry and society (in general).

• Conducting training programmes in the related areas for professional skill development.
• Generating Intellectual Properties (IP) in terms of patents and high quality technical publications.
• Conducting consultancy works for industries covering, but not limited to, transportation, manufacturing, healthcare, agriculture etc.
• Patenting and transfer of technology
• Helping and guiding start-ups in relevant areas.
• To enhance the practical knowledge and to develop research culture among students in the field of Image and Video Processing using Machine Learning.
• To provide internships and placement oriented training to students.
• To provide training for faculty members in thrust areas like Digital Image Processing, Embedded Development, Mechatronics, Robotics and Automation and Machine Learning. Also Software’s like MatLab, LabVIEW, Solidworks, Auto Cad.
• Offer PhD courses in relevant areas of expertise. Also, to provide customized/flexible PhD Courses to student(s) of any department of the institute pursuing/ intended to pursue his/her thesis on specific problems in Digital image Processing and machine Learning.
• To enter into collaborative research engagements with Extra-mural funding agencies and Industrial Organizations for better understanding of issues of scientific and technological management between different stakeholders.
• Using this as a general research facility to take up new research projects from industry and other bodies.

Projects at Centre of Excellence in Machine Vision

1. Machine Vision Inspection System for Spline Gear Inner Race and Tripods
2. Machine Vision Inspection System for Brake Piston Cylinder
3. Machine Vision System Integrated to prevent the Press Machine from wrong Assembly in the Flywheel Assembly Process Line
4. Machine Vision System Integrated to prevent the Press Machine from wrong Assembly (ABS/Non ABS) in the Bearing Assembly Process line
5. Machine Vision System Based Automated Visual Inspection of 3G Modem
6. Machine Vision Inspection system for Verification of Dimensional Accuracy of Cage Sleeves
7. Machine Vision System Integrated to avoid Mismatching of tappet door with model code in the Engine Assembly Process Line
8. Fully automated High Speed inspection system for identification of surface defects in rubber gaskets
9. System integrated for Process Control to prevent the Die Damage Using Machine Vision System
10. Machine Vision system for Blood transfusion Needle for tip damages, orientation and glue inspection
11. Machine Vision Inspection system for Barcode reading on Lens Packets
12. Machine Vision System Based Automated Blister Pack Inspection System
13. Machine Vision System for Dimensional Measurement for Tulip Assembly
14. Machine Vision System Integrated to Control Robot from wrong pouring (Non Presence or Mismatch of Stayrod) in the Seat Foam Assembly Process Line
15. Automatic Label Print for Process completion for Multiple Models in the Foam Assembly Line
16. Software Developed for Alternator Test Rig Testing Machine
17. Software Developed for Starter Test Rig Testing Machine

Proposal Submitted at Centre of Excellence in Machine Vision:

1. Dimensional Verification of Caliper.
2. Dimensional Verification of Spindle.
3. Procedure to avoid Parts from the Damage in the Surface in Machining and Assembly Line and Inspection Solutions for Dimensional and Operational Missing.
4. Burr and Stem Identification of Brake piston Cylinder (with Inner Stem).
5. Profile Verification of Glue.
6. Automatic Tube Length Cutting and Straightness Identification.
7. Presence/Absence, wrong assembly check in Differential Assembly.
8. Software Development for Supply Chain Management.
9. Identification of wrong part or model mix-up in the Assembly Line
10. Barcode and Label Print System to Ensure the sequence of operation in the FI Line
11. Surface inspection and Dimensional measurement of compressor reed valves.
12. Surface inspection and Dimensional measurement of Oil Seals.
13. Surface inspection and Dimensional measurement of Rubber Caps.
14. Verification of part Presence for Nokia Mobile Panels.
15. Print quality verification of silicon contacts on TV Remote Pads.
16. Blister Pack inspection for OCR, missing, broken and foreign tablets in the Blister Pack Packaging Line.
17. Defects and Dimensional measurement of fasteners.
18. Leak Test and Burr presence in Fuel Cock assembly.
19. Dimensional measurement of Crank Pin assembly.
20. Welding position and Identification of Improper welding in the Wheel.
21. Process Control of Spline Gear Machining to prevent the Wrong part before loading in to the CNC.
22. Surface Defects in the Plastic Mould Parts.
23. Presence/Absence, Identification of Orientation of Labels and checking the Level of fluid in the bottles.
24. Study of Preventing the Oil Wastage and calculating the Stocks, Etc.,

Training offered:

Doctoral Programme

1. Dr.L.Priya Awarded Ph.D in “Occlusion handling in 2D and 3D Object Recognition”

Research Publications
Books Published
Title: A Guide to Quality control in Machine vision

Author: Sheila anand and L.Priya
Description: ISBN 9780815349273, Published December 9, 2019 by Chapman and Hall/CRC

Notable Book Chapters Published

• Dr.L.Priya, Ms.A.Sathya, Dr.S.Thangarevathi,” Book Chapter:Feature detection and extraction techniques for sensor data”, Book title: sensor data management and analysis: The role of deep learning - publisher-Wiley Publications;Wiley publications
• Dr.L.Priya, Ms.A.Sathya, Dr.S.Thangarevathi,” Book chapter: Deep learning in Healthcare”, Book title: Deep learning and edge computing solutions for high performance computing; Published by EAI/Springer innovations in communications and computing
• Dr.L.Priya, Dr.S.KanagaSubaRaja,Ms.A.Sathya,"Clinical Decision Support Systems" BioInformatics and Medical Applications: Big Data Using Deep Learning Algorithms, scrivener-Wiley Publishers

Scopus and SCI Indexed Papers Published

• Dr.L.Priya,Ms.A.Sathya,Ms.K.Poornimathi,Ms.J.Anitha, “A Hybrid Intelligent Diagnosis and Disease Prediction Model Using Machine Learning Approach”, Journal of Green Engineering
• Dr.L.Priya,Ms.A.Sathya,Ms.K.Poornimathi,Ms.J.Anitha, “Re-Skill Before Restart: E- Skilling Is Essential To Build Individual And Optimize Employees Competency”, International Journal of Psychosocial Rehabilitation
• Priya.L, Poornimathi.K, Anitha.J, Sudarsaan.A, Rajesh.P, Anirudh Krishnan, A Study on Machine Learning Algorithms in Medical Imaging, Journal of Advanced Research in Dynamic and control systems, Vol. 11, Special Issue-05, 2019, pp 2162-2170. ( Scopus)
• Priya.L, Usha.S and Poornimathi.K “ Shape based 2D object recognition for partially occluded objects” Journal of Advanced Research in Dynamic and control systems , April 2019,Volume 11, 02 special issue, pages 44-50.( Scopus)
• Vasanthakumar.S,SaiYashwanthK,Sangamithra and PriyaL “AMachineLearning Model for Robotic arm movement for physically disabled people “, IEEE International conference on Information, Embedded and Communication systems 2019, Chennai.
• L.Priya, G.Rajeshkannan, J.Sheik Mohamed Meera, " Effective TOXIN management-An IoT based approach", International Journal of Pure and Applied Mathematics, Special issue, Volume 119, No. 12, ISSN: 1314-3395 (on-line version), 2018, pp16343-16351. ( IF : 0.635, Scopus)
• ShyamSundar V, Sudarshan P, Suresh Raja T, Priya L ,” Improving Art Experience using Augmented Realty “Proceedings on IEEE National Conference on Innovative Research Trends for Digital India, Rajalakshmi Engineering College, Chennai , March 2018.
• Ganesh.G.S, Mythly T.J, Nathiya R, Priya L “RECTM- An Effective Transport Management ” “Proceedings on IEEE National Conference on Innovative Research Trends for Digital India, Rajalakshmi Engineering College, Chennai , March 2018
• Priya, L & Sheila Anand 2017, ‘Object Recognition and 3D Reconstruction of Occluded objects using Binocular Stereo’, Springer Cluster computing DOI 10.1007/s10586-017-0891-7 ISSN 1386-7857 pp1-10. (SCI IndexedAnnexure I, Impact Factor: 2.040)
• L.Priya, J.Anitha, N.Kayalvizhi, “Smart Farming”, ICCCMIT 2017 - International Conference on Communication, Computing and Information Technology, MOP Vaishnava College for Women, Chennai, Feb,2017.
• Priya, L, Sheila Anand&Poornimathi, K 2016, ‘Occluded object detection with 3D projection’, Journal of Chemical and pharmasciences Special issue 9, pp. 50-53, ISSN 0974-2115 Scopus Indexed. (Impact Factor: 1.421, Scopus)
• L.Priya, H.Aishwaryaa, B.Aarthi and R.Abirami,”RSPG RFID Based Smart Payment Gateway”,Journal of Chemical and Pharmaceutical Sciences,JCHPS., Special Issue 9,Dec 2016, pp.57-59. (Scopus)
• L.Priya, K.Subramaniyan , J.Priyanka , V.PreethiSowndharya ,”Nearest Patrol Search under Emergency Condition”,Journal of Chemical and Pharmaceutical Sciences,JCHPS., Special Issue 9,Dec 2016, pp.94-97. (Scopus)
• L. Priya, M. Leela, P.P. Janardhan, B.S. Thulasi,”Effective TOXIN management-An IoT based approach”,Journal of Chemical and Pharmaceutical Sciences,JCHPS., Special Issue 9,Dec 2016, pp.88-90. (Scopus)
• Priya, L, Sheila Anand& Uma, K 2016, ‘Detection of occluded objects under backlighting’, International journal of computer science and engineering, ISBN:9788192958022.DOI: ICETAKD9502 (Impact Factor: 2.628,Scopus)
• J.Jeyalakshmi,L.Priya,S.Sreesubha,” Effective prevention of reverse engineering attacks on software”, ARPN Journal of Engineering and Applied Sciences, Vol.10,no.17, pp.7412- 7415, Sep,2015.( Scopus)
• Priya, L & Sheila Anand, 2015, ‘Shape Based Object Detection For Partially Occluded Objects Under Front Lighting Techniques’, IEEE European Modelling Symposium 2015 978-1-5090-026, pp.124-127 IXplore DOI 10.1109/EMS.2015.27
• L. Priya, J. Jeyalakshmi, S. Usha “ Modelling framework for Web service based sheltered Medi-Helper”, National conference on recent Technologies in IT NC4T10 held on 30-31 jun 2010 at sathyabama university.
• L. Priya, K. Porrnimathi, “An Ontology based context aware service discovery for smart hospitals”, International conference on Information Science and Applications held on feb 6th 2010 at Panimalar Engineering College.
• Dr.P. Anadhakumar, L. Priya “Object Oriented Database Approach for Context Aware Services in Distributed Pervasive Healthcare Environment” National Conference on Frontier Research Areas in Computing (NCFRAC'09) on Saturday, 21 February 2009.saintgits College of Engineering, Kottayam, Kerala and SAINTGITS.
• Dr.P. Anandhakumar, L.Priya, “Ontology based service discovery model for distributed pervasive health care environment.” International conference on “Information Reuse and Integration”IEEEIRI2009, Aug 10-12th 2009 Las Vegas, USA.
• Dr.P. Anandhakumar, L.Priya, “Ontology based enhanced service discovery model for distributed pervasive health care environment.”IEEE transactions on sustainable computing 2009, volume 212, issue 4, pp no. 1342-1350. ( SCI indexed)
• Dr.P.Ananthakumar, Nalinipriya, L.Priya, “An innovative Object Oriented Approach for Context Awareness in Distributed Pervasive Healthcare Environment” Journal of Advances in computers, Elsevier, 2009.( SCI Indexed)
• Dr. P. Ananthakumar, NaliniPriya, L. Priya"Ontology-Based Service Discovery Model For Distributed Pervasive Healthcare Environment" International Conference on Web Intelligence Systems ICWIS09 to be held at REC Chennai, India, January 8th – 10th, 2009.

Students Projects in Machine Vision

Industries visited and interacted with for potential MV Projects