Vision Systems Lab

Vision Systems Lab

Vision Systems Lab is aimed to be a globally renowned lab in vision-based automation and is committed
  • To provide reliable, robust and cost-effective vision-based solutions to industrial needs
  • To develop low-cost vision-based automation solutions to detect, measure and/or reconstruct objects of interest
List of major Equipments:
Hardware
Cameras:
  • Progressive Area Scan Cameras - 1/3”, 1/2” and 1/2.5’’ formats upto – 5MP resolution; 6mm Micro Camera
  • Basler line scan camera
Optics:
  • Standard Lens and Distortion less Macro lens Kits – f:25/35/50/75 mm
  • Telecentric lens – f:55 mm
  • 2/3” Close focus Zoom lens
  • Variable Magnification Lens 12.5-75mm
  • Telecentric Zoom Lens – (0.7X to 4.5X)
Illumination Systems:
  • Fiber Optic Illuminator
  • LED Ring Light
  • Co-axial Lighting
  • Backlighting System
  • Diffused Lighting
  • Dome Lighting
Licensed Software
  • MATLAB 2020b
  • LabView 2017
Capabilities
Theme Focus: Development of low-cost vision-based automation solutions in the following areas:
  • Dimensional Measurement (Component measurement, Metallographic Investigation)
  • Inspection (Object recognition and Pose Estimation)
  • Detection (Presence Verification, Counting)
Academics
  • Supporting students’ project for all branches of engineering in acquisition of images
  • Industry Supported Course on Vision based Dimensional Measurement
  • Laboratory courses related Vision Applications
Consultancy
  • Building Machine Vision Systems for Industrial Applications.
  • Developing Indigenous Machine Vision software.
  • Handling vision based applied and academic research.
  • Handling Sponsored Projects for various agencies-DRDL, AICTE, & Industries.
Measurement/Testing
  • Non-contact dimensional and form measurement of components
  • Camera Calibration
Target Users
  • Industries and defence agencies
  • Faculty Members and UG & PG students from all disciplines of engineering
Works done
  • Non-contact dimensional and form measurement of components
  • Image analysis of metallographic structure
  • Development of Machine Vision Systems for Industrial Applications
  • Developing Indigenous Machine Vision software
Consultancy Projects
Remnant Sheet Metal Project : To develop a Machine Vision System to acquire the images of remnant sheets – M/s Amada Soft, Chennai
Sponsored Projects
Auto Align Phase I & II: Developed a Machine Vision System to evaluate Shell misalignment.
  • Research Centre Imarat, Hyderabad
Programme on “Virtual Instrumentation on Robotics and Telematics”.
  • Developed a set of Machine Vision experiments for European Union Cross Cultural
  • Repeatability Analysis of Robot using Vision
  • Wall following robot
  • Partners: University of Wurzberg, West Germany, University of Madrid, Spain, Anna University, Chennai, TCE, Madurai.(CSE, ECE & Mechanical)
Papers Published
International Journal JOURNALS: 08
  1. Saravana Perumaal, S. and Jawahar, N. “Synchronized trigonometric S-curve trajectory for Jerk-bounded time-optimal pick and place operation”, International Journal of Robotics and Automation, Vol. 27, No. 4, pp.385-395, 2012. (Published: DOI: 10.2316/Journal.206.2012.4.206-3780). ISSN (Online): 1925-7090; ISSN (Hardcopy): 0826-8185.
http://www.actapress.com/PaperInfo.aspx?paperId=43119
  1. Saravana Perumaal, S. and Jawahar, N. “Automated Trajectory planner of industrial robot for pick and place task”, International Journal of Advanced Robotic Systems, Vol.10, pp.1-17, 2013. (Published: DOI: 10.5772/53940). ISSN 1729-8814. http://journals.sagepub.com/doi/full/10.5772/53940
  2. Nagarajan Pitchandi and Saravana Perumaal Subramanian, "GA-based camera calibration for vision-assisted robotic assembly system," in IET Computer Vision, vol. 11, no. 1, pp. 50-59, 2 2017. doi: 10.1049/iet-cvi.2016.0004; Print ISSN: 1751-9632; Online ISSN: 1751-9640.
http://ieeexplore.ieee.org/document/7825508/
  1. Nagarajan Pitchandi, Saravana Perumaal Subramanian, Muhilan Irulappan, (2017) "Insertion force analysis of compliantly supported peg-in-hole assembly", Assembly Automation, Vol. 37 Issue: 3, pp.285-295, https://doi.org/10.1108/AA-12-2016-167
https://www.emeraldinsight.com/doi/abs/10.1108/AA-12-2016-167
  1. S. Saravana Perumaal, “Creating an Effective Learning Environment in Engineering Graphics Course for First Year Engineering Students”, Journal of Engineering Education Transformations, Special Issue, 2018. DOI: 10.16920/jeet/2018/v0i0/120930. http://www.journaleet.org/index.php/jeet/article/view/120930
  2. Nagarajan Pitchandi and Saravana Perumaal Subramanian, (2019) "Image Uncertainty-Based Absolute Camera Pose Estimation with Fibonacci Outlier Elimination," in Journal of Intelligent and Robotic Systems, Springer Nature. https://link.springer.com/article/10.1007/s10846-019-00985-4
  3. S. J. Thiruvengadam, S. Baskar, S. Saravana Perumaal, C. Jeyamala, D. Anitha,R.Rajan Prakash, “Analysis of In-house training workshops for enhancing faculty competence in CDIO Implementation - A case study”, Journal of Engineering Education Transformations, Volume 34, January 2021, Special issue, eISSN 2394-1707.
http://journaleet.org/index.php/jeet/article/view/157230/108622
  1. Yogameena Balasubramanian, Menaka Kandasamy, Saravana Perumaal S Deep Learning-Based Helmet Wear Analysis of a Motorcycle Rider for Intelligent Surveillance System, IET Intelligent Transport Systems, 11pp. DOI: 10.1049/iet-its.2018.5241 , Print ISSN 1751-956X, Online ISSN 1751-9578, April 2019, Impact factor 1.387.
International Conferences
  1. Thiruvengadam, S. J., Baskar, S., Saravana Perumaal, S., Jeyamala, C., Anitha, D., & Prakash, R. R. (2021). Analysis of In-house training workshops for enhancing faculty competence in CDIO Implementation-A case study. Journal of Engineering Education Transformations, 34, 615-619
https://chalmersuniversity.app.box.com/s/d61l2qsmzzftcul6nglrtooip8hktvvs
  1. Anitha D, C Jeyamala, Rajan Prakash, Thiruvengadam S.J, Saravana Perumaal, S, Baskar, “Analysis Of In-House Training Workshops ForEnhancing Faculty Competence In CDIO Implementation – A Case Study”, ICTIEE 2021, Online Mode.
  2. S.J.Thiruvengadam, S.Saravana Perumaal, S.Baskar, Jeyamala.C, V.Abhai Kumar, Design Thinking Course Implementation in CDIO Based Undergraduate Programmes, Sixteenth International CDIO Conference, Research reports from Chalmers University of Technology Gothenburg, Sweden 2020 ISBN 978-91-88041-28-9
  3. R.Sivasankkari, S.Saravana Perumaal, “Contact State Modeling and Simulation for an Active Compliant Robotic Peg-in-Hole Assembly”, International conference on Science Technology Engineering and Management (ICSTEM), March 13 & 14, 2020
  4. Nagarajan P., Saravana Perumaal S., Yogameena B. (2017) Vision Based Pose Estimation of Multiple Peg-in-Hole for Robotic Assembly. In: Mukherjee S. et al. (eds) Computer Vision, Graphics, and Image Processing. ICVGIP 2016. IIT Guwahati Lecture Notes in Computer Science, vol 10481. Springer, Cham https://doi.org/10.1007/978-3-319-68124-5_5 ; Print ISBN 978-3-319-68123-8; Online ISBN 978-3-319-68124-5; First Online 21 October 2017; https://link.springer.com/chapter/10.1007/978-3-319-68124-5_5
  5. Vigneswaran and Saravana Perumaal S, “Vision based object tracking using Kinect sensor”, 2nd International Conference on Advanced Engineering and Technology for Sustainable Development (ICAETD 2016), Karpagam College of Engineering, Coimbatore, February 19-20, 2016.
  6. Nagarajan P and Saravana Perumaal S, “Jerk bounded Trajectory Planning of 2 DOF Robot Manipulators”, Conf. on Emerging trends in Materials Manufacturing and Design -ETMMD 2013, Mepco Schlenk Engineering College, Sivakasi, May 7 and 8 2013. (Paper Code : DE 11).
  7. Tharinidevi and Saravana Perumaal S, “Vision based collision avoidance system for an autonomous vehicle”, 2nd International Conference on Advanced Engineering and Technology for Sustainable Development (ICAETD 2016), Karpagam College of Engineering, Coimbatore, February 19-20, 2016.
  8. Saravana Perumaal S and Selva Kumar C, “Tangent Based Collision Free Path Planning Algorithm for Mobile Robots”, Proceedings of National Conference on Automation, Robotics and Mechatronic Systems (NCARMS-2016), Madras Institute of Technology, Anna University,Chennai-44, March 25-26, 2016.
  9. M.Ashvini, G.Revathi, B.Yogameena, S.Saravana Perumaal,"View Invariant Motorcycle Detection for Helmet Wear Analysis in Intelligent Traffic Surveillance", CVIP 2016, International Conference on Computer Vision and Image Processing (CVIP) at IIT Roorkee, 26-28 February 2016.
  10. Nagarajan P and Saravana Perumaal S, “Jerk bounded Trajectory Planning of 6 DOF Robot Manipulators”, Int. Conf. on Advances in Manufacturing and Automation – INCAMA 2013, Kalasalingam University, Krishnankovil, Virudunagar District, March 28,29 and 30 2013.(Paper code : AS 48)
  11. Yaseen A and Saravana Perumaal S, “ Minimum Time Robot Move sequence for Three Machine Semi Circular Robotic Cell”, Conf. on Emerging trends in Materials Manufacturing and Design -ETMMD 2013, Mepco Schlenk Engineering College, Sivakasi, May 7 and 8 2013. (Paper Code : DE 04).
  12. Vijayan, M. and Saravana Perumaal, S. “Performance Analysis of Pick and Place Robot in an Inline Cell”, Int. Conf. on Advances in Construction, Manufacturing and Automation Research - INCACMA-2012, Kongu Engineering College, Perundurai, Erode-638052, May 30 and 31, 2012. (Paper code: MTS04)
  13. Aruna Devi, M. and Saravana Perumaal, S. “Optimal Trajectory Planning of Robot Manipulators with minimum Jerk and Time”, Conference on Emerging trends in Engineering Design, Government College of Engineering, Tirunelveli. 27th March, 2008.
  14. N.Jawahar, S.Saravana Perumaal, R.Sivakamasundari A. “Genetic Algorithm Based Heuristic for Minimum Move Time In 4-DOFArticulated Robot”, 14th ISME International Conference on Mechanical Engineering in Knowledge Age, Delhi College of Engineering during 12-14th December 2005.
Industries Interfaced
    • VS Technology, Bangalore,
    • Auro Lab,Madurai,
    • Edmund Optics, Bangalore
    • National Instruments, Bangalore.
    • Sundaram Fasteners, Madurai.
    • Research Centre Imarat, Hyderabad (DRDL).
    • AMADA Soft India, Chennai
    People
    Dr.S. Saravana Perumaal, Assistant Professor

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