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GithubSingTown基於OpenMV嘅AI智能鏡頭系統,可以應用喺人多擠迫嘅展覽、活動或者公共空間。佢透過AI圖像識別演算法,偵測人群嘅衫褲顏色,並同環境燈光系統同步,實現實時顏色互動。呢個解決方案融合咗機器視覺同電腦視覺技術,為沉浸式展覽同互動藝術空間帶嚟更具創意嘅AI體驗。

In art exhibitions, commercial events, and large public spaces, creating immersive interactive experiences is key to attracting crowds and enhancing engagement. SingTown Technology's AI smart camera system, built on OpenMV, can analyse the clothing colours of on-site crowds in real time and drive the lighting system to achieve intelligent colour-changing interactions.
The system employs on-device artificial intelligence to detect and segment human-shaped targets within the camera feed, extracting dominant colour information and calculating the colour distribution of the group. When an increase in the proportion of a specific colour is detected (such as a prevalence of blue attire), the ambient lighting automatically adjusts to the corresponding colour scheme, creating a dynamic interplay between the spatial atmosphere and the crowd.
This system can coordinate multiple cameras to achieve zoned lighting control and supports edge deployment on the device side, enabling a closed-loop recognition-decision process without reliance on cloud services or external computers. Leveraging the compact size and extremely low energy consumption of the OpenMV smart camera as an embedded vision solution, the system can be flexibly integrated into exhibit structures or lighting control modules, making it widely applicable across diverse scenarios such as exhibition installations, stage spaces, and large-scale commercial venues.
The system's edge-side AI algorithm demonstrates robust performance, maintaining stable recognition in complex lighting and high pedestrian flow environments, while also supporting custom logic, such as "colour mixing triggers specific lighting effects.
SingTown Technology,以人工智能、機器視覺及電腦視覺為核心技術,令環境空間能夠「看見觀眾」,並以燈光回應人群,實現科技與藝術的完美融合,為智能展覽與創意空間注入無限靈感。

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Utilising the OpenMV smart camera to identify surface defects on aluminium plates in real time
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