3 Major Technologies

Anti-spam

Computer Vision

Phishing Detect

Deep Learning

Smart Scan

Sensor Fusion

Checkin

Student scans the QR code on the QR reader to finish the login process.
InnoIris is able to detect the student in front of the QR code and associated the person in the camera with the authenticated user. The position tracking remains until the student leaves the Inno Wing makerspace area.

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Borrowing

Based on live footage from the camera, the system utilizes the tool recognition model to know what tool the user is interacting with.
Once the students have taken the tools and leave the makerspace area, the system will register the borrowing and put this confirmed record in the database.

Safe and reliable

Returning

The mobile app notifies students if there exists overdue tools. To return the tools, students have to login the app at the zone again.
At the return collection counter, the students are asked to show the tool to the camera and put it into a return box. The returning is recorded and the inventory management is done by the system.

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Supervisor

Dr. Chui Chun Kit

  • Department of Computer Science
  • Director of the Tam Wing Fan Innovation Wing

Team

Carson, CHIU Yat Man

  • Department of Computer Science

Joe, WONG Yuk Kwan

  • Department of Computer Science

Samson, LAM Fong Pui

  • Department of Computer Science

Tim, LAM Tim Po

  • Department of Computer Science

Documentation

Project Plan

Project Plan includes the following sections:
Introduction, Execution, Budget Plan, Schedule and Milestones

Intermediate Report

Coming Soon...

Final Report

Coming Soon...

Contact Us

  • Email : enquiry@cs.hku.hk
  • Phone : +852 2859 2180
  • Address : Rm 301 Chow Yei Ching Building, The University of Hong Kong