BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Hongkong
BEGIN:STANDARD
DTSTART:19791021T023000
TZOFFSETFROM:+0900
TZOFFSETTO:+0800
TZNAME:HKT
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BEGIN:VEVENT
DTSTAMP:20210720T012842Z
UID:8D26ACCC-81CF-4C2F-9D91-E442C0094A2E
DTSTART;TZID=Hongkong:20210716T160000
DTEND;TZID=Hongkong:20210716T170000
DESCRIPTION:IEEE Hong Kong AP/MTT Joint Chapter - Industry Seminar\n\nTrend
 s in Automatic Identification &amp; data capture (AIDC) industry: RFID\, IOT\,
  Blockchain\, AI… how they are going to integrate?\n\nDr. Anna Pui Yi La
 u\nLaxcen Technology (Singapore/Hong Kong)\n\nDate: 16 July\, 2021\nTime: 
 04:00 pm to 04:45 pm (Hong Kong\, UTC+8:00)\n(A 30-minutes brief networkin
 g session will follow the seminar for interested participants)\nVenue: Onl
 ine\nRegistration link: https://events.vtools.ieee.org/event/register/2766
 34\n\nAbstract\nAutomatic Identification and Data Capture (AIDC) technolog
 ies are a diverse family of technologies that share the common purpose of 
 identifying\, tracking\, recording\, storing and communicating essential b
 usiness\, personal\, or product data. In most cases\, AIDC technologies se
 rve as the front end of enterprise software systems\, providing fast and a
 ccurate collection and entry of data. AIDC technologies included barcodes\
 , RFID\, IOT. Multiple AIDC technologies are often used in combination to 
 provide enterprise-wide solutions to business issues such as integration o
 f blockchain and AI.\nIn this seminar\, trends in AIDC technologies from i
 ndustry view will be addressed and examples of applications and challenges
  will be presented.\n\nVirtual: https://events.vtools.ieee.org/m/276634
LOCATION:Virtual: https://events.vtools.ieee.org/m/276634
ORGANIZER:alex.mh.wong@cityu.edu.hk
SEQUENCE:8
SUMMARY:IEEE Hong Kong AP/MTT Joint Chapter - Industry Seminar by Dr. Anna 
 Pui Yi Lau
URL;VALUE=URI:https://events.vtools.ieee.org/m/276634
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;span style=&quot;font-size: 14pt\;&quot;&gt;IEEE Hong 
 Kong AP/MTT Joint Chapter - Industry Seminar&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;&lt;span 
 style=&quot;font-size: 18pt\;&quot;&gt;Trends in Automatic Identification &amp;amp\; data c
 apture (AIDC) industry: RFID\, IOT\, Blockchain\, AI&amp;hellip\; how they are
  going to integrate?&lt;/span&gt;&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;&lt;span style=&quot;font-siz
 e: 14pt\;&quot;&gt;Dr. Anna Pui Yi Lau&lt;/span&gt;&lt;/strong&gt;&lt;br /&gt;&lt;strong&gt;&lt;span style=&quot;f
 ont-size: 14pt\;&quot;&gt;Laxcen Technology (Singapore/Hong Kong)&lt;/span&gt;&lt;/strong&gt;&lt;
 /p&gt;\n&lt;p&gt;&lt;span style=&quot;font-size: 12pt\;&quot;&gt;&lt;strong&gt;Date: &lt;/strong&gt;16 July\, 2
 021&lt;strong&gt;&lt;br /&gt;Time: &lt;/strong&gt;04:00 pm to 04:45 pm (Hong Kong\, UTC+8:00
 )&lt;br /&gt;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\;&amp;nbsp\; (A 
 30-minutes brief networking session will follow the seminar for interested
  participants)&lt;strong&gt;&lt;br /&gt;Venue: &lt;/strong&gt;Online&lt;strong&gt;&lt;br /&gt;Registrati
 on link: &lt;/strong&gt;https://events.vtools.ieee.org/event/register/276634&lt;/sp
 an&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Abstract&lt;/strong&gt;&lt;br /&gt;Automatic Identification and Da
 ta Capture (AIDC) technologies are a diverse family of technologies that s
 hare the common purpose of identifying\, tracking\, recording\, storing an
 d communicating essential business\, personal\, or product data. &amp;nbsp\;In
  most cases\, AIDC technologies serve as the front end of enterprise softw
 are systems\, providing fast and accurate collection and entry of data. AI
 DC technologies included barcodes\, RFID\, IOT. Multiple AIDC technologies
  are often used in combination to provide enterprise-wide solutions to bus
 iness issues such as integration of blockchain and AI.&lt;br /&gt;In this semina
 r\, trends in AIDC technologies from industry view will be addressed and e
 xamples of applications and challenges will be presented.&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;
 /p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;
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