Not only the fish know when the fish tank is dirty; SingTown's water quality monitoring system "sees the dirt and cleans automatically.

In water quality monitoring and ecological experiments, it is often necessary to determine whether the inner walls or bottom of containers are contaminated by substances such as sediment, silt, or algae, in order to assess water flow cleanliness and sediment changes.

Manual observation is subjective, time-consuming, and lacks continuous monitoring capability, making it difficult to meet the demands of automated water quality detection.

為此，環境監測設備製造商採用SingTown的OpenMV智能相機識別技術，整合AI機器視覺與圖像識別算法，實現對透明容器底部污染狀態的自動識別與對比分析。

This system can identify various sediment attachments such as sand, silt, and green algae, and is suitable for application scenarios including water quality monitoring, ecological experiments, and river channel simulation systems.

Environmental monitoring equipment manufacturers utilise SingTown's OpenMV intelligent camera recognition technology to achieve automatic detection of contamination status in transparent containers and linkage with cleaning systems.

This solution installs a waterproof camera module on the exterior of a transparent acrylic container to perform real-time image acquisition of the bottom and sidewall areas. By employing colour distribution analysis, texture detection, and contrastive learning algorithms, it extracts features related to changes in brightness, saturation, and surface texture from the images to determine the presence of pollutant deposition.

當容器處於潔淨狀態時，底部區域呈現均勻的色彩分佈及高反射亮度。

一旦沉積物、淤泥或藻類沉積物出現，影像亮度便會降低，紋理粗糙度增加，顏色分佈亦會變得更暗。

The algorithm automatically calculates the pollution index and compares it with the initial "clean template" image. When the pollution level exceeds the threshold, the system outputs a "bottom dirtiness" signal.

OpenMV嵌入式視覺模組，一款邊緣人工智能圖像識別晶片，能夠在無需外部電腦的情況下，於數秒內完成採樣、分析及判斷。

The system supports edge deployment and enables continuous monitoring. Identification results can be transmitted to the host computer via serial port or wireless communication, facilitating data logging and automated cleaning linkage.

透過此方案，環境監測企業能夠實現對透明容器污染狀態的自動識別、預警及維護提示，顯著提升水質檢測與維護系統的自動化及智能化水平。