SingTown Technology assists in building a 【No Water Contact】 sewage monitoring system, low-cost and highly accurate.

In industrial parks and sewage treatment systems, the water quality condition flowing into the pipelines directly affects the load of subsequent treatment processes and the lifespan of equipment. Traditional turbidity sensor detection methods suffer from issues such as complex installation, susceptibility to contamination and failure, and slow response, making them difficult to adapt to the complex environment of multi-source mixed flow inlets. To address this, environmental equipment manufacturers plan to introduce SingTown Technology's OpenMV intelligent camera visual detection technology for real-time monitoring of water turbidity at sewage inflow pipeline inlets.

The system is fixed above or on the side of the pipeline via a camera, capturing real-time images of the incoming water flow. It assesses water clarity based on parameters such as brightness, color contrast, and texture distribution. When turbidity exceeds the set threshold (e.g., reduced grayscale, uneven brightness, or dense impurity distribution), the system automatically outputs a high-level signal to trigger a relay, enabling device linkage for alarms or automatic activation of discharge equipment. This solution significantly enhances the intelligence and response speed of sewage monitoring while reducing maintenance costs.

The industrial wastewater monitoring system, developed based on SingTown Technology's OpenMV platform, integrates machine vision algorithms, image recognition, and industrial control systems to successfully achieve intelligent identification and real-time control of water turbidity at pipeline inlets.

The system captures water flow images via high-sensitivity image sensors and utilises built-in algorithms to extract features such as average brightness, pixel variance, and colour distribution, enabling real-time detection by the integrated algorithms.

When detecting water bodies exhibiting low brightness, high contrast, or distinct grayish-brown distribution characteristics, it is determined as a "high turbidity" state, and a high-level signal is immediately output. The signal can directly drive a relay module, linking to activate pumps, valves, or alarms, alerting maintenance personnel to promptly address the anomaly.

In industrial sites with significant ambient light variations, the system also supports automatic exposure and adaptive regional threshold functions, maintaining stable recognition performance both during the day and at night. Additionally, the camera features an IP protection rating design, enabling long-term operation in humid and dusty environments.

Compared to traditional turbidity sensors, this solution does not require direct contact with water, avoiding issues of corrosion and contamination; moreover, the edge AI detection response time is less than one second, supporting continuous video recognition mode, making it more suitable for dynamic monitoring of fast-flowing and frequently changing water currents.

This solution, developed based on SingTown Technology's OpenMV, is suitable for scenarios such as sewage treatment equipment manufacturers, environmental monitoring enterprises, and industrial park water quality management units. It can be integrated with PLCs, microcontrollers, or industrial gateways to achieve edge deployment, completing an intelligent closed-loop of image recognition and automatic control, thereby assisting enterprises in building a low-cost, efficient, and precise water quality monitoring system.