I&T Solution
Reference No.
S-0477
Solution Name
Vehicle Queue Monitoring via AI Video Analytics
Solution Description
Manual queue monitoring is a time and resource consuming process that is prone to human errors and miscalculations. The Vehicle Queue Monitoring system uses computer vision to derive insights from the video cameras installed in the regions of interest. It analyzes the traffic, calculates the number of vehicles in the predefined areas, conducts classification (taxi, public bus, private car), and notifies the user of specific scenarios. For instance, user receives an SMS/email alert if the queue exceeds 20 vehicles. The system also displays the real-time and accumulated statistics in a web-based dashboard, tailored for the user’s needs. The Video Analytics system can be implemented in various locations that include vehicle traffic, such as car parks, tunnels, gas stations, highways, etc.
Application Areas
City Management
Infrastructure
Transport
Technologies Used
Artificial Intelligence (AI)
Internet of Things (IoT)
Video Analytics
Use Case
Queue monitoring in the gas stations is one of the applications of the Video Analytics system. We deployed the system that detects, classifies and counts the number of vehicles queueing for the gas station. Once the queue exceeds the predefined region, an SMS alert is sent to a number of users informing them on the queue status. The user could view the live-stream to verify the queue and take appropriate actions. Additional features include analytics services where various daily/weekly trends are recorded and presented in the form of graphs and diagrams in a user-friendly web-based dashboard.
Company / Organisation Name
Kodifly Limited
Email Address
info@kodifly.comTelephone Number
61593979
Website
https://kodifly.comAddress
Unit 661, Building 19W, Hong Kong Science Park, Hong Kong
If any government department would like to conduct PoC trial or technology testing on the I&T solution, please contact Smart LAB.
