BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20251222T090100Z
UID:93FF0D99-1365-435F-A28A-BBC2B4759A3F
DTSTART;TZID=Asia/Kolkata:20251218T174500
DTEND;TZID=Asia/Kolkata:20251218T195000
DESCRIPTION:[]\n\nAbstract:\n\nThe term “radar” has typically been asso
 ciated with defense applications &amp; recently Advanced Driver Assistance Sys
 tems (ADAS). However\, emerging 60 GHz &amp; 77 GHz single chip radar sensors 
 are finding increasing adoption in broad market applications ranging from 
 industrial to personal electronics. These applications\, including indoor 
 people presence detection and counting\; personal electronics\; Heating\, 
 Ventilation &amp; Air Conditioning (HVAC)\; and Internet of Things (IoT)\, are
  highly sensitive to power and cost. Other challenges include high device 
 &amp; maintenance costs\, remote installations\, complexity of the technology 
 itself and specific to certain applications only.\n\nThis talk will cover 
 some of the broad market sensing applications and ongoing work that addres
 ses these challenges. Also\, it will introduce a low cost\, low power mmWa
 ve sensing concept: starting from simple\, high accuracy ranging\; scalabl
 e to a cognitive radar solution that implements low power human presence s
 ensing using temporal Density Based Spatial Clustering of Applications wit
 h Noise (DBSCAN) algorithm &amp; 1D CNN (edge-AI). While the former fits well 
 into various Industrial IoT (IIoT) applications\, the latter enhances user
  experience and efficiency of systems such as intelligent control (turn on
 /off) for TVs\, HVAC\; directional control towards occupied regions in a r
 oom or indoor space\; and more. Thus\, making it a low power\, battery ope
 rated and potentially autonomous solution.\n\nSpeaker(s):  Praveen \n\nAge
 nda: \nWelcome &amp; Opening Remarks by the IEEE Sensor Council Hyderabad chai
 r\n\nIntroduction of the speaker\n\nGroup Photo\n\nWebinar by the Speaker\
 n\nQ and A session\n\nClosing Remarks with Memento Presentation and Vote o
 f Thanks\n\nVirtual: https://events.vtools.ieee.org/m/520717
LOCATION:Virtual: https://events.vtools.ieee.org/m/520717
ORGANIZER:satthyanarayon@gmail.com
SEQUENCE:83
SUMMARY:IEEE SENSORS COUNCIL Hyderabad Chapter Presents a webinar on &quot;Futur
 e of Broad Market Sensing: Low Cost\, Low Power mmWave Radars?&quot;
URL;VALUE=URI:https://events.vtools.ieee.org/m/520717
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;img src=&quot;https://events.vtools.ieee.org/v
 tools_ui/media/display/435e6a42-bcb5-475c-b39c-490b348cf314&quot; alt=&quot;&quot; width=
 &quot;932&quot; height=&quot;932&quot;&gt;&lt;/p&gt;\n&lt;p&gt;Abstract:&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;The term &amp;ldquo\;rada
 r&amp;rdquo\; has typically been associated with defense applications &amp;amp\; r
 ecently Advanced Driver Assistance Systems (ADAS). However\, emerging 60 G
 Hz &amp;amp\; 77 GHz single chip radar sensors are finding increasing adoption
  in broad market applications ranging from industrial to personal electron
 ics. These applications\, including indoor people presence detection and c
 ounting\; personal electronics\; Heating\, Ventilation &amp;amp\; Air Conditio
 ning (HVAC)\; and Internet of Things (IoT)\, are highly sensitive to power
  and cost. Other challenges include high device &amp;amp\; maintenance costs\,
  remote installations\, complexity of the technology itself and specific t
 o certain applications only.&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;This talk will cover some of t
 he broad market sensing applications and ongoing work that addresses these
  challenges. Also\, it will introduce a low cost\, low power mmWave sensin
 g concept: starting from simple\, high accuracy ranging\; scalable to a co
 gnitive radar solution that implements low power human presence sensing us
 ing temporal Density Based Spatial Clustering of Applications with Noise (
 DBSCAN) algorithm &amp;amp\; 1D CNN (edge-AI). While the former fits well into
  various Industrial IoT (IIoT) applications\, the latter enhances user exp
 erience and efficiency of systems such as intelligent control (turn on/off
 ) for TVs\, HVAC\; directional control towards occupied regions in a room 
 or indoor space\; and more. Thus\, making it a low power\, battery operate
 d and potentially autonomous solution.&amp;nbsp\;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /
 &gt;&lt;p&gt;Welcome &amp;amp\; Opening Remarks by the IEEE Sensor Council Hyderabad ch
 air&lt;/p&gt;\n&lt;p&gt;Introduction of the speaker&lt;/p&gt;\n&lt;p&gt;Group Photo&lt;/p&gt;\n&lt;p&gt;Webina
 r by the Speaker&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;Q and A session&lt;/p&gt;\n&lt;p&gt;Closing Remarks wi
 th Memento Presentation and Vote of Thanks&lt;/p&gt;
END:VEVENT
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