Date
13 Nov 2020
Introduction to IOT in Manufacturing Industries
Resource Person : Mr. Lux Rao, Director, NTT Data
Date : 13th November 2020
Co-Ordinated By : Dr. H.B.Bhuvaneswari,HOD,ECE
Faculty Incharge : Mr. Prajith Prakash Nair
Participants : 7th sem ECE students and staff
About the Program
The first half of day five was split into two sessions and it concentrated on the adoption of Industry 4.0 in various sectors. The speaker of the day was Dr.Lux Rao who is currently working as senior director and head solutions at NTT India. The speaker of the session delivered an well rounded session on the evolution in industry 4.0. He gave an insight to the smart technology that can be implemented in an industry and strategy for digital transformation in the sector. He also explained the various steps involved in implementing IOT based manufacturing in major industrial sectors such as automobile manufacturing industry and spoke of the technology stack which works within the set framework for implementing such concepts in the industry. The speech delivered highlighted on the following points :
- Outlook of the manufacturing industry
- Smart factory in digital manufacturing
- Evolution of manufacturing towards concept of smart factory ( industry 4.0 )
- The 4 stages of IOT solutions architecture
- Technology stack- security & services
- Journey to smart manufacturing
- Smart manufacturing strategy & solution
- Examples of implementation: plant monitoring, utility and energy monitoring, sound analytics etc.
- Case study:smart factory data analytics of packaging line, automobile manufacturer, fault reduction.
- Back to work solutions : social distancing on shop floor
- Smart factory based on international IOT standards
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- Technical talk on Insights on Medical Device Regulatory Affairs and Quality Assurance
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- Webinar on ORGANIC FARMING AND WASTE MANAGEMENT
- Workshop on “Products and Technologies Identification in MMSE sectors under Self Employment Opportunities”
- Mini-Project Exhibition
- Intra Institutional Internship Program Year 2022-2023
- Online Webinar on Health technology
- Technical Seminar on Bio Sensors
- Technical Talk on Case Studies on Application of Deep Learning in Healthcare Management & Autism