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GithubSingTown嘅AI智能相機系統,基於OpenMV技術,能夠喺化學實驗同環境監測等工業同科研場景中,對容器內嘅液體狀態進行智能識別同分析。系統利用機器視覺同圖像識別算法,準確判斷液體喺提取後係咪出現分層、混濁或異常混合等情況。佢廣泛應用於化學實驗、環境監測同工業質檢等領域,為科研同生產提供可靠嘅視覺檢測方案。

In laboratory and industrial production, liquid extraction phase separation serves as a crucial indicator for analysing purity and determining the success of reactions. However, traditional manual observation is not only inefficient and prone to subjective inaccuracies but also difficult to achieve real-time monitoring. SingTown Technology's intelligent camera solution, based on the OpenMV platform and integrated with AI and computer vision algorithms, enables automatic detection and phase separation recognition of liquid states within containers, thereby eliminating the need for manual observation.
The system analyses the colour of the liquid surface and interior, light refraction, and transparency changes through image recognition algorithms to automatically determine whether stratification, turbidity, floating matter, or sedimentation occurs. The edge-side AI model can learn the colour and texture characteristics of different liquid samples, thereby adapting to various experimental scenarios, such as chemical extraction, oil-water separation, waste liquid treatment, and pharmaceutical development.
This intelligent camera supports continuous image capture and real-time alert functionality, capable of immediately outputting signals or triggering recordings upon anomaly detection. The embedded vision system features a compact structure and low power consumption, allowing for easy deployment on experimental equipment, industrial pipelines, or monitoring consoles to achieve unattended detection.
SingTown Technology,以OpenMV智能相機為核心,深度融合AI圖像識別與機器視覺,為科研與工業質控提供可邊緣部署的智能視覺檢測方案,確保每一項實驗結果更精準、一致且高效。

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