SingTown Technology's Automated Weak Fluorescence Signal Recognition System - The AI Visual Assistant for Laboratories

SingTown嘅智能相機系統，基於OpenMV技術，能夠高靈敏度偵測微弱螢光訊號。系統採用人工智能影像識別同機器視覺技術，喺低亮度同昏暗環境下捕捉螢光發射，為科學研究實驗、化學分析同工業檢測場景提供實時監測同視覺分析功能。

In scientific research experiments, chemical analysis, and industrial quality control, weak fluorescence signals often carry critical information. However, traditional detection methods exhibit low sensitivity in low-light environments, making it difficult to achieve precise and real-time automated monitoring.

SingTown Technology基於OpenMV平台嘅智能相機解決方案，利用邊緣人工智能驅動嘅圖像識別同機器視覺演算法，實現對微弱螢光嘅精準捕捉同分析。

The system utilises high-sensitivity cameras to capture fluorescence emission images, enhances signals and filters background noise through AI algorithms, and accurately locates fluorescence regions and intensity variations. Computer vision technology further analyses fluorescence morphology, distribution, and dynamic changes, providing data support for scientific research experiments, chemical reaction monitoring, or industrial inspection.

The OpenMV intelligent camera offers advantages such as low power consumption, compact size, and high response speed. It can be deployed at the edge on experimental equipment, production lines, or mobile monitoring devices, enabling long-term, continuous fluorescence detection without reliance on cloud computing. Users can also customise training models based on experimental requirements to improve recognition accuracy for specific fluorescence wavelengths or colours.

SingTown Technology 深度整合邊緣人工智能、機器視覺及圖像識別技術，令微弱熒光檢測更高效、可視化且可靠。為科研、實驗及工業場景提供智能嵌入式視覺解決方案，確保每個微弱光信號均能被準確捕捉與分析。