AI-based Indoor Positioning and Counting Technology

I&T Wish AI-based Indoor Positioning and Counting Technology
(REF: W-0496)
Matched I&T Solution
Trial Project
Summary and Challenges
  • This project aims to explore the use of AI-based Indoor Positioning based on WiFi fingerprinting. The proposed solution shall leverage existing Wi-Fi access point and sensors, with AI algorithm to improve positioning accuracy.
Expected Outcome
  • This project aims to achieve the following objectives:
    • To provide a Web-based visualized positioning and management platform for managing the Point of Interest details
    • To support Auto-positioning and shortest path wayfindings by providing point-to-point seamless navigation between Indoor-to-Outdoor and Floor-to-floor
    • To digitalize the indoor map and enable the indoor positioning services based on Wi-Fi-fingerprinting technology by scanning current Wi-Fi setup, leveraging existing Wi-Fi signal of the venue for the indoor positioning, with no additional hardware installation
    • To display panoramic perspective of an indoor and outdoor space with fast implementation of indoor mapping
    • To make use of machine learning algorithm for improve positioning accuracy by analyzing the positioning data and sensors fusion data. The accuracy of indoor positioning is expected to be within average 3-5 meters with floor detection
    • To provide data analytics for overall usage and counting purpose, such as number of users used the Apps, Popular Exhits of most being clicked, etc.
    • To support displaying digital indoor map via Web and mobile and to provide SDK for further development in Mobile Apps
Expected Trial Duration 9-month
Contact Information
I&T Wish Proposer:Electrical and Mechanical Services Department (EMSD)
Contact Person:Lo Wing Sing, Ivan
Position:Project Officer/Innovation/18
Tel:3155 3958
Email: wslo@emsd.gov.hk
Upload Date 2023-08-22
Closing Date 2023-09-05