The Secret to Fast and Accurate Public Space Crowd Management – SingTown AI Visual Monitoring System

SingTown Technology基於OpenMV嘅AI智能鏡頭系統，作為一款智能監測裝置，能夠實時偵測同統計某個地點嘅人數。透過機器視覺同圖像識別演算法，系統自動識別人形輪廓，判斷人員數量同分佈情況，為商場、工廠、校園、社區等場所提供精準嘅客流監測同數據分析支援。

In the realm of intelligent security and property management, real-time monitoring of pedestrian flow serves as a critical metric for safety supervision and operational analysis. SingTown Technology's AI smart camera solution, developed on the OpenMV platform, leverages advanced computer vision and image recognition algorithms to enable real-time people counting and dynamic passenger flow monitoring.

The system automatically identifies human silhouettes, head-shoulder features, and movement trajectories in video frames to accurately determine the number of individuals. Edge-side IA can also effectively distinguish between stationary and moving human targets, maintaining stable recognition performance in complex scenarios such as lighting variations, occlusions, and crowded gatherings.

This system's edge AI can independently carry out recognition and analysis, and supports users in conducting targeted model training. Therefore, the system can be deployed at the edge in various environments such as shopping malls, MTR stations, conference halls, and residential estate entrances, enabling round-the-clock pedestrian flow statistics and trend analysis. Compared to traditional infrared counting devices, the SingTown intelligent camera solution not only offers higher recognition accuracy but also provides visual data, such as crowd density distribution and movement direction, while supporting multi-camera collaborative statistics. The recognition data can also be uploaded in real-time to the cloud or local servers for security alerts, passenger flow control, or energy consumption optimisation.

SingTown Technology，以人工智能同機器視覺為核心，將每一部相機轉變成能夠分析同判斷嘅智能眼睛，令公共空間邁向精準同自動化嘅智慧管理。