Development of Image-Based Water Level Sensor with High-Resolution and Low-Cost Using Image Processing Algorithm:...

Area of Science:

• Engineering
• Instrumentation
• Environmental Monitoring

Background:

• Accurate water level measurement is crucial for various environmental and industrial applications.
• Existing sensors may be costly or lack the required resolution and multi-channel capabilities.
• Development of cost-effective, high-performance water level sensing technology is needed.

Purpose of the Study:

• To develop a high-resolution, low-cost image-based water level sensor.
• To enable simultaneous measurement of water levels in multiple channels.
• To provide a reliable and real-time visual monitoring solution.

Main Methods:

• Utilized an image processing algorithm for automatic water level identification and analysis.
• Employed brightness analysis of water level images to determine levels.
• Verified measurements against calibrated water levels using known length standards.

Main Results:

• Achieved a superior resolution of 0.06 mm and a low cost of USD 80.
• Demonstrated high accuracy (0.9%) and stability (0.3%).
• Sensor offers an adjustable measurement range and instantaneous response time for six channels.

Conclusions:

• The developed image-based water level sensor provides a reliable and cost-effective solution.
• It enables simultaneous, real-time visual monitoring of water levels in multiple channels.
• This technology presents a significant advancement in water level sensing capabilities.