We were invited to exhibit at the “Automotive World China 2025” Expo held between 28 and 30 October at Shenzhen World Exhibition and Convention Center, where we presented our edge AI computer vision based smart urban solution to visitors from various sectors across mainland China at Hong Kong Pavilion.  This exhibition not only allowed us to extend our edge AI computer vision into the field of smart urban transportation, but also enabled us to establish connections with potential clients and partners.

Real-Time Traffic Flow Analysis

Our edge AI computer vision enables low-latency, high-precision vehicle and pedestrian dynamic tracking, providing valuable and actionable data for traffic management authorities.

Intelligent Traffic Incident Detection

Our solution can identify incidents like illegal parking, wrong-way driving and abnormal congestion, automatically generating enforcement-grade evidence (timestamp + location + behavioural analysis) and supporting customizable muti-scenario rules.

Cloud-Independent Architecture

All data collected is processed locally via embed edge computer, eliminating the need for cloud reliance.  This not only ensures privacy and information security but also enables real-time and low-latency operation.

Core Value

Our edge AI computer vision stands out through its “lightweight deployment” and “high scalability”, enabling rapid integration with existing urban infrastructure while supporting seamless future expansion.  This assists cities in achieving a smooth transition from traditional infrastructure to intelligent systems.

During the exhibition, visitors showed interested in our edge AI computer vision.  Our team diligently addressed their inquiries, provided live demonstrations, and shared insights on how to apply our solution in the field of smart urban transportation.  We also engaged in-depth exchanges with professionals from various sectors to understand the latest trends and developments in smart urban transportation.  Collaboration and knowledge sharing are crucial for driving innovation and progress, and we look forward to partnering with diverse enterprises to jointly advance the development of smart urban transportation.