Implementation of Deep-Learning-based Edge Computing for Preventing Drowning

Chan, Yi-Tung; Hou, Tai-Wei; Huang, Yu‐Lun; Lan, Wen-Hsin; Wang, Pin-Chia; Lai, Cih-Ting

doi:10.12792/iciae2020.041

Cited by 6 publications

(3 citation statements)

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“…Active sonar is used to scan the pool area, and the technology can distinguish between people and inanimate objects in the captured photos. An underwater camera was then proposed as an alternative method [ 45 , 46 ] for detecting people near the edge of the pool. However, this strategy largely overshadowed camera-based techniques.…”

Section: Image Processing Techniques For Drowning Detectionmentioning

confidence: 99%

Enhancing Water Safety: Exploring Recent Technological Approaches for Drowning Detection

Jalalifar,

Belford,

Erfani

et al. 2024

Sensors

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Drowning poses a significant threat, resulting in unexpected injuries and fatalities. To promote water sports activities, it is crucial to develop surveillance systems that enhance safety around pools and waterways. This paper presents an overview of recent advancements in drowning detection, with a specific focus on image processing and sensor-based methods. Furthermore, the potential of artificial intelligence (AI), machine learning algorithms (MLAs), and robotics technology in this field is explored. The review examines the technological challenges, benefits, and drawbacks associated with these approaches. The findings reveal that image processing and sensor-based technologies are the most effective approaches for drowning detection systems. However, the image-processing approach requires substantial resources and sophisticated MLAs, making it costly and complex to implement. Conversely, sensor-based approaches offer practical, cost-effective, and widely applicable solutions for drowning detection. These approaches involve data transmission from the swimmer’s condition to the processing unit through sensing technology, utilising both wired and wireless communication channels. This paper explores the recent developments in drowning detection systems while considering costs, complexity, and practicality in selecting and implementing such systems. The assessment of various technological approaches contributes to ongoing efforts aimed at improving water safety and reducing the risks associated with drowning incidents.

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Section: Image Processing Techniques For Drowning Detectionmentioning

confidence: 99%

Enhancing Water Safety: Exploring Recent Technological Approaches for Drowning Detection

Jalalifar,

Belford,

Erfani

et al. 2024

Sensors

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show abstract

“…By leveraging the capabilities of the MPU6050 sensor and a wearable device, we will get into every detail about their components in the upcoming sections. We can develop innovative solutions to prevent drowning and keep people safe in and around water [30][31][32][33][34].…”

Section: Proposed Systemmentioning

confidence: 99%

A Low-Cost Approach for Drowning Detection and Alertness

Ibrahim,

Ali,

Ahmed

et al. 2024

Egyptian Journal of Artificial Intelligence

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In this paper, a unique approach has been developed to detect drowning by using a chest area belt equipped with a pressure sensor to monitor the breathing rate of the person wearing the belt. Additionally, MPU6050 module has been used to measure the cumulative displacement to track the swimmer's movement. These sensors have been integrated with a Remotexy application and a GSM module to create an SMS message that alerts lifeguards when someone is in danger of drowning. The chest area belt is equipped with carbon resistors that are sensitive to pressure changes, allowing us to monitor the breathing rate of the person wearing the belt. By monitoring the breathing rate, we can detect when a swimmer is in distress and alert lifeguards to the potential drowning. To track the swimmer's movement, an MPU6050 has been used, which is a motion sensor that measures the cumulative displacement of the person wearing the belt. This data is then integrated with a Remotexy application and a GSM module to create an SMS message that is sent to lifeguards when someone is in danger of drowning.

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“…There is also a bumper built around the blades with soft rubber for protection to avoid the Dolphin 1 from grinding on rocks or being sucked by water underneath it. Chan et al [23] described the remote control lifebuoy was designed to equip lifeguards to save people from drowning. The hull material of Dolphin 1 is made from density polyethylene (HDPE) plastic.…”

Section: F Dolphinmentioning

confidence: 99%

The Impact of Covid-19 on Human Rescue Operations: A Review on Past Unmanned - Water Rescue Boats (U-Wrb) and Adopting Them to The New Norm

Nirmal

Zulfakar

Way

et al. 2022

JETAP

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Recently, the drowning cases of human beings are at an alarming rate. The current work presents a dedicated review on U-WRB for human rescue operations subjected to drowning. The review from year 1996 to 2018 highlights the key factors such as advantages and limitations of the developed U-WRB’s. Having completed the review, the work further proposes new research pathways that could be beneficial to the scientific community living in the new norm; COVID-19 where minimal contact between humans are of concern when it comes to human rescue operations. Possible new research pathways include but not limited to the type of sensors used, material selection, incorporation of state-of-the-art attachments to the U-WRB and customizable attachments to the main unit based on a given real time rescue operation are proposed.

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Implementation of Deep-Learning-based Edge Computing for Preventing Drowning

Cited by 6 publications

References 0 publications

Enhancing Water Safety: Exploring Recent Technological Approaches for Drowning Detection

Enhancing Water Safety: Exploring Recent Technological Approaches for Drowning Detection

A Low-Cost Approach for Drowning Detection and Alertness

The Impact of Covid-19 on Human Rescue Operations: A Review on Past Unmanned - Water Rescue Boats (U-Wrb) and Adopting Them to The New Norm

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