只提供英语版本
Course Objectives
This course, co-organised with Smart City Academy, allows you to learn how to make use of smart technologies to deal with challenges and difficulties under the pandemic. It will be a meaningful and valuable opportunity where you can gain updated knowledge on IoT, gerontechnology and various applications via case sharing from experts.
Course Outline
| Smart living – Development trend and use case of IoT and Gerontechnology in Hong Kong (AM Session) |
| 1. IoT Needs in this Pandemic 1.1 Social Distancing 1.2 Crowd Control and Queue Management 1.3 Toilet Management 1.4 Air Quality Measure and Bacteria/Virus Filtering 1.5 Remote monitoring in elderly home |
| 2. Commercial User Case Sharing 2.1 People Counting by Radar Sensor in Shopping Mall 2.2 Automatic HVAC Control by Seat Counting in Public Theatre 2.3 Footfall Counting by overhead ToF sensor in Public Toilets 2.4 Odor sensing and control by IAQ meter in Public Toilets 2 5 Bacteria/Virus filtering by PM0.3 metering in Office Building 2.6 Bed Exit and Fall Detection sensing by Radar Sensor in Elderly Home |
| Smart Environment – Sensing technologies and sensing control for buildings (PM Session) |
| 3. Introduction to Advance IoT Sensor for Human Detection 3.1 mmWave Radar Sensor for Moving Object Tracking & Gesture Recognition 3.2 LiDAR TOF Sensor for Footfall Counting & Object Recognition 3.3 Thermal Image Sensor for People Counting & Recognition 3.4 Odor Sensor for Toilets 3.5 PM0.3/2.5/10 IAQ Meter for Indoor area with Air Purifier 3.6 Hybrid remote monitor sensors for Elderly Home |
| 4. Advance Sensor Demonstration and Experiment 4.1 People Counting Radar with Infineon 24GHz Radar Chip 4.2 People Tracking Radar with TI 77GHz Radar Chip 4.3 People Counting LiDAR with ST Micro ToF Chip 4.4. Bed-exit and Fall Detection Radar Application in Elderly Home with RadarSky CARE 4.5 Odor IAQ meter with RadarSky IAQ, and HEPA air purifier with Connectble Cloud |
About the Speakers
Mr. Daniel CHUN
Daniel is currently the CEO of Remotec Technology Limited and he volunteers as the Executive Director at Smart City Academy and as Chairman for Research and Blueprint committee at SCC. He had been with SCC since 2016 (as council member) having led public consultation and delivered SCC’s Blueprint Advisory Report in 2016 and 2020.
At Remotec, he leads the company in delivering Smart Home, IoT and analytics cloud-based solutions. With numerous awards awarded, Daniel’s IoT solution had won HKIE (END) First prize twice (2016 and 2019) for SmartAirCon and Airxed solutions. Besides his intimate involvement in the electronics and IoT sector, He frequently delivers speeches, training seminars (including those for HKSAR CSBTI, and other professional bodies). Daniel has been a lecturer with both City University and HKUSPACE since 2013 in various technology-related subjects. Daniel has 3 Masters degree (M.Sc, M.Res, MBA), a B.Sc and is currently defending his PhD proposal in Smart City Leadership. Daniel holds 3 patents and his customers at Remotec includes Facebook, Roku, Honeywell, Vivint, Polycom, Jasco, Chubu Electric and many other consumer electronics brand. Recently, he was also invited as part of the focus group by ARCADIS to be involved in HKGBC’s new guidebook related to Smart Living / Smart Buildings.
Mr. NG Ming Lam
Ming is the one of the top innovators in Hong Kong for IoT product design and also the countrywide implementation. He is the founding member of MIoT Limited in Hong Kong Science Park as the Chief Technology Officer and the inventor of two US patents.
Ming with his team focuses in the non-camera-based technology for the countrywide smart city implementation. His area of expertise includes Millimetre-wave radar analysis, LiDAR measurement, Time-of-flight sensing and the social distancing hybrid system. His recent involvements in various Proof-Of-Concept projects deployed with various SI, utilities, property management companies, EMSD and others proves to be valuable for any property owner and developer. Currently he applies these advance mmWave radar in a public museum for the energy-saving air conditioning control systems, smart toilets with people counting and analysis, occupancy detection, indoor air quality – covering both infrastructure and applications design. Ming currently holds 5 patents in sensing technologies and methods. Ming had been involved in developing LED luminaries at Philips with patented design for green power saving. Ming received his Master degree in Electronic Engineering from Hong Kong Polytechnic University and his career began at Hong Kong Productivity Council as an IC designer for GSM phones and Bluetooth devices. Over the past 20 years, Ming has been developing his professionalism in the cutting-edge telecommunication and object sensing technology.
Duration
15 April 2021, 09:30-17:00
Venue
Hybrid mode
1/F, HKPC Building, Tat Chee Avenue, Kowloon Tong, Hong Kong and Online Broadcast
Medium of Instruction
Cantonese with training materials in English
Course Fee
HK$2,000
Application Deadline: 8 April 2021
Target Participants
- People who are interested in Smart City