Optimizing Mist-Based Ablution: A Comprehensive Study of Water Distribution and Conservation Using Watercolour Visualization and Thermal Imaging Techniques

Conducting ablution constitutes a prerequisite for Muslims prior to engaging in prayer. This ritualistic practice involves the cleansing and wiping of specific body parts, including the hands, face, arms up to the elbows, head, and feet. Ensuring comprehensive water coverage of the aforementioned areas is a crucial criterion during ablution. However, excessive water consumption often occurs when Muslims perform ablution to achieve full coverage. Consequently, a more ecologically sustainable approach to ablution is necessary to minimize water wastage. A proposed water mist spray device aims to optimize water usage while adhering to the Islamic jurisprudence requirements of complete water coverage on ablution parts. To assess water coverage using the mist spray, an evenness distribution profile is employed through atomized mist colorization on paper and thermal imaging of ablution parts. An appropriate spray nozzle is chosen based on an analysis of spray distribution and coverage patterns on the target surface, utilizing image processing techniques. The proposed methodology involves mixing water with red watercolour and manually pumping it through the selected nozzle using an off-the-shelf water sprayer, thereby atomizing the coloured water to stain white paper. Subsequently, the paper is converted into a digital image and analysed using ImageJ software to determine the mist spray coverage percentage, spatial spread at various distances, and the extraction of stain and droplet sizes. This technique is applied to different types and sizes of spray nozzles to identify the most suitable nozzle for the prototype. The findings demonstrate that nozzles with smaller exit holes and higher water pressure yield more extensive spray coverage on the target surface. Upon selecting the appropriate nozzle, a Portable Ablution Mist Spray Device prototype is employed to evaluate water coverage for the ablution body parts. Thermal images of the ablution parts are captured before and after the ritual, with the temperature differences being analysed. The thermal images reveal a comprehensive and uniform spray distribution on the ablution body parts, accompanied by a temperature difference ranging from 0.9°C to 3.8°C among various participants

Optimizing Mist-Based Ablution: A Comprehensive Study of Water Distribution and Conservation Using Watercolour Visualization and Thermal Imaging Techniques

Conducting ablution constitutes a prerequisite for Muslims prior to engaging in prayer. This ritualistic practice involves the cleansing and wiping of specific body parts, including the hands, face, arms up to the elbows, head, and feet. Ensuring comprehensive water coverage of the aforementioned areas is a crucial criterion during ablution. However, excessive water consumption often occurs when Muslims perform ablution to achieve full coverage. Consequently, a more ecologically sustainable approach to ablution is necessary to minimize water wastage. A proposed water mist spray device aims to optimize water usage while adhering to the Islamic jurisprudence requirements of complete water coverage on ablution parts. To assess water coverage using the mist spray, an evenness distribution profile is employed through atomized mist colorization on paper and thermal imaging of ablution parts. An appropriate spray nozzle is chosen based on an analysis of spray distribution and coverage patterns on the target surface, utilizing image processing techniques. The proposed methodology involves mixing water with red watercolour and manually pumping it through the selected nozzle using an off-the-shelf water sprayer, thereby atomizing the coloured water to stain white paper. Subsequently, the paper is converted into a digital image and analysed using ImageJ software to determine the mist spray coverage percentage, spatial spread at various distances, and the extraction of stain and droplet sizes. This technique is applied to different types and sizes of spray nozzles to identify the most suitable nozzle for the prototype. The findings demonstrate that nozzles with smaller exit holes and higher water pressure yield more extensive spray coverage on the target surface. Upon selecting the appropriate nozzle, a Portable Ablution Mist Spray Device prototype is employed to evaluate water coverage for the ablution body parts. Thermal images of the ablution parts are captured before and after the ritual, with the temperature differences being analysed. The thermal images reveal a comprehensive and uniform spray distribution on the ablution body parts, accompanied by a temperature difference ranging from 0.9°C to 3.8°C among various participants

An Intelligent Vision Based Sensing Approach for Spraying Droplets Deposition Detection

The rapid development of vision sensor based on artificial intelligence (AI) is reforming industries and making our world smarter. Among these trends, it is of great significance to adapt AI technologies into the intelligent agricultural management. In smart agricultural aviation spraying, the droplets’ distribution and deposition are important indexes for estimating effectiveness in plant protection process. However, conventional approaches are problematic, they lack adaptivity to environmental changes, and consumes non-reusable test materials. One example is that the machine vision algorithms they employ can’t guarantee that the division of adhesive droplets thereby disabling the accurate measurement of critical parameters. To alleviate these problems, we put forward an intelligent visual droplet detection node which can adapt to the environment illumination change. Then, we propose a modified marker controllable watershed segmentation algorithm to segment those adhesive droplets, and calculate their characteristic parameters on the basis of the segmentation results, including number, coverage, coverage density, etc. Finally, we use the intelligent node to detect droplets, and then expound the situation that the droplet region is effectively segmented and marked. The intelligent node has better adaptability and robustness even under the condition of illumination changing. The large-scale distributed detection result indicates that our approach has good consistency with the non-recyclable water-sensitive paper approach. Our approach provides an intelligent and environmental friendly way of tests for spraying techniques, especially for plant protection with Unmanned Aerial Vehicles