Exhibition Participation & Innovation Award Submission
Innovation Highlights
Blind Spot Prediction
AI predicts vehicle and pedestrian
positions in camera blind spots.
AI Twin Navigation
Real-time guidance to available
parking slots with CCTV only.
Privacy-Preserving UI
All data visualized with icons
to protect personal information.
Product Overview
The AI Twin Parking System uses only CCTV infrastructure to detect and track vehicles, pedestrians, and motorcycles in real-time.
It provides safe, efficient parking guidance, intuitive bird’s-eye visualization, and services like Find My Car,
scalable from small lots to smart city infrastructures.
Engineering Excellence
99.4%
License Plate Recognition Accuracy
(Parking-lot CCTV)
93%
Vehicle Re-ID Rank-1 Accuracy
99%
Object Detection Reliability
Design & User Experience
Our UI provides a bird’s-eye view of the parking lot with intuitive icons representing vehicles, pedestrians, and motorcycles.
Users can easily see available parking slots, moving objects, and navigate floors in complex parking facilities, all while ensuring privacy.
Market & Opportunity
Drivers spend up to 30% of their driving time searching for parking, leading to billions in wasted time and emissions annually. Parking lot accidents account for nearly 20% of all traffic incidents.
AI Twin Parking System addresses these issues directly, with scalability to global smart city and autonomous driving markets.
≤ 30%
Parking search time*
Percentage of incidents
involving car parks*
Scalable
Single car park → citywide, autonomous driving and smart city connectivity
- Real-time occupancy prediction & reduced taxiway navigation time
- Increase pedestrian and vehicle safety with danger zone detection/alerts
- Reduce and monetise costs with operational data-driven optimisation
Reference
* City – figures may vary depending on study design. Validate with local data when proposing/bidding.
INRIX (2017), The Impact of Parking Pain – Analysing parking search time and economic costs
National Safety Council (2017), Parking Lot Safety – Risk factors and accident trends in parking facilities
