Page 9 - Newsletter-2020
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R&D Updates                                                                                   R&D Updates


 Internet-of-Things Testbed Setup for Research  Project Showcase - CRIE Projects implemented at MIET

 AICTE grant received under Research Promotion Scheme (RPS)


 An advanced IoT testbed for experimentation and research was setup at MIET with
 the grant of Rs. 10.72 lakhs received by Prof. Ankur Gupta under the Research
 Promotion Scheme (RPS) of the AICTE. The exerimental testbed includes IoT
 gateways with onboard processing capabilities, ability to interface sensors with the
 gateways and transmission of data to the cloud for further processing. A wide-
 variety of sensors for weather monitoring, air quality monitoring, soil monitoring   Crowd Detection System -   Classroom Teaching Effectiv- Traffic Violation Detection
 and video cameras have been deployed. A high-end workstation for processing of   Apoorva Gupta  eness - Arpita Gupta  System - Avinash Koshal
 sensor  data  and  applying  AI-based  algorithms  has  also  been  procured.  The
 testbed is part of a larger project to develop a framework for the "Smart-City Nerve
      The  system  assesses  crowd  density   This project uses class video feeds to   It detects vehicles that do not follow the
 Center" incorporating elements of cloud computing, edge/fog computing, stream
      and people in a frame. Based on pre-  determine  the  attentiveness  of  the   rules of traffic, such as over-speeding,
 processing and software-defined networking etc.  configured threshold values, alerts are   students.  Alerts  are  shared  with  the   overloading,  not  wearing  helmet  and
      issued if crowd density exceeds a limit.  faculty if class attentiveness falls.   driving on the wrong side of the road.
 Patent Granted  Patents Filed in 2019












      Self-Driving Rickshaw - Joy- AI Parking Management -                       Video-based Attendance
      jit Kaur and Naushad Bhat             ParkEye - Vivek Rathore              System - Shivam Choudhary


      Self-driving  rickshaw  uses  computer   ParkEye uses feeds from IP cameras   It uses deep learning based 3-D face-
      vision  to  maintain  lane,  regulate   to  detect  and  log  the  entering  and   and gait recognition techniques to log
      speed,  detect  pedestrians  and  stop   leaving  vehicles  with  authentication   attendance. It recognizes people even
      when destination is reached.          and authorization facilities.        from their side profile.

        Vajra Project
 MIET  became  the  first  technical   Under  the  Center  for  Research,   A joint patent was filed by Prof. Ankur
 institution  in  J&K  to  have  a  patent   Innovation  and  Entrepreneurship   Gupta and Mr. Ankur Kumar Gupta on   e-Rickshaw - Nov. 2019
 granted  to  its  name.  The  first  patent   (CRIE), two patents were filed at the   "A system and method of electrical
 filed  by  MIET  in  2010,  “Method  for   Indian Patents and Trademarks Office   load  management  for  generator-  The MIET e-Rickshaw prototype was fabricated in-house
 reducing  the  mean-time-to-detect   in July 2019 by Prof. Ankur Gupta and   based  power  supply"  at  the  IPTO.   and  became  a  grand  success.  Kudos  to  Associate
 for  network  faults”  was  granted  by   Mr. Purnendu Prabhat.  The first patent   This invention uses PLCs in master-  Professor, Niranjan Singh and the dedicated team from
 the  Indian  Patents  and  Trademarks   was  "Method  of  asset  cataloguing   slave  configuration  to  dynamically   MIET Workshop who put in immense efforts and com-
 Office  (IPTO)  in  2019  following   for  asset  management  systems   remove  electrical  load  when  genera-  pleted this project in record time. The highlight of the
 detailed  examination  and  clarifica-  based on image and voice capture"   tor-based  supply  is  operational.  In   project is the local drive-train fabricated from motorcycle
 tions. Prof. Ankur Gupta, Director MIET   and the second one was "A system   essence, the disclosed system will be   parts and the use of a discarded auto-rickshaw chasis
 is  the  inventor  of  this  patent  which   and  method  for  image-based   able to decide which AC or machine   which was made significantly lighter by stripping off the
 discloses  a  method  to  discover   campus  vehicle  management".    will  be  switched  on/off  when  the   unused parts. The entire project cost was Rs. 60,000 in
 network  faults  faster  by  examining   Both patents use AI for object detec-  generator  is  on.  This  patent  has   which more than half is the battery cost. The team is now
 past-behavior of the network.  tion, classification and processing.   significant practical implications.  building a contact-less charging station for the rickshaw.


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