Industry 4.0 & Smart Manufacturing - Online Mode

Participants Information

Participants: 28
Speakers:11
Female participants:07
Male participants:21
Participants from SC/ST category:0
Research Scholars:0

Lab Sessions

  • Automation studio ( Mechatronics, Hydraulic and Electrical Vehicles)
  • Edge AI using Python Programming
  • Data Analytics Dash Board Creation Using HTML and JAVA

Topics Covered

  • Industry 4.0 and its Technologies in Oil & Gas Industry
  • Overview of Sensor & Actuators covering Real time case studies relevance to Industry 4.0
  • IIoT Implementation in Automation with Real Time Case studies
  • Overview of Supply Chain & Logistics In Industry 4.0
  • Development of IoT based Mechatronics Automation systems
  • Introduction to IoT, Architectures, Protocols
  • IoT Security & Blockchain
  • Overview of Siemens Centre of Excellence
  • Condition based Monitoring for CNC machines along with case studies
  • Introduction to AI, ML, DL
  • M2M Connectivity and its Application for Metal cutting Industries
  • Drones : Introduction & Functionality
  • Data Analytics
  • AR , VR & Cloud based Software, Technologies and its real-time implementation challenges for Industry 4.0
  • Collaborative Robots (Cobots)

Highlights

List of Speakers

Dr. Giridhar Kumar D, SIEMENS ENERGY, Pune


Mr. Chandra Sekhar, Director, 7s Technologies, Hyderabad


Prof. L Krishnanand, Professor, NIT Warangal


Dr. V Vasu, Assistant Professor, NIT Warangal


Dr. E Suresh Babu, Assistant Professor, NIT Warangal


Mr. Girish Kumar M, CMTI, Bangalore


Mr. Kaushal, Unicoverge Technologies, Bangalore


Mr. Narendra Reddy T, CMTI, Bangalore


Mr. Yogesh, Drone Technologies, Hyderabad


Prof. R B V Subramanyam, Professor, NIT Warangal


Mr. Arvind S, Svaya Robotics, Hyderabad

Feedback Summary

  • FDP was very informative and qualitative.
  • The program was organized perfectly.
  • Experts from industry shared their experience related to the subject.
  • Suggestions from Participants

  • Participants requested to conduct FDPs on Multimedia and Computer Vision.