Artificial Intelligence On-street Parking Sensing and Recognition System

I&T Wish Artificial Intelligence On-street Parking Sensing and Recognition System
(REF: W-0575)
Matched I&T Solution
Trial Project
Summary and Challenges
  • Existing parking meters are equipped with mmWave radar sensors to detect whether parking spaces are occupied. By adopting an artificial intelligence solution, the accuracy rate is aimed to further increase.
  • On-street parking spaces are sometimes occupied by non-vehicle objects, so the solution also needs to be able to identify the type of occupying object, enabling cases to be referred more quickly to the relevant departments.
  • The proposed sensor(s) can be installed in the parking meters or adhere to the parking meter poles. A portal for testers to retrieve the real-time occupancy status of parking spaces shall be available.
Expected Outcome
  • Utilize AI sensors (such as AI-powered camera sensors, AI LiDAR, or AI CMOS image sensors) in the most cost-effective manner to detect parking spaces, achieving a high-precision detection rate with a minimum accuracy of 98%.
  • Identify non-vehicle objects like trash, hand carts, etc., and automatically generate reports to notify the concerned enforcement departments.
  • Fully automate the data processing to calculate the utilization rate of parking spaces.
Expected Trial Duration 2-month
Contact Information
I&T Wish Proposer:Transport Department (TD)
Contact Person:Calvin Tse
Position:Senior Transport Officer / Transport Facilities Management 2
Tel:3842 5930
Email: calvintse@td.gov.hk
Upload Date 2025-06-20
Closing Date 2025-07-11
Propose I&T Solution Submit Proposal