Computer Vision AI
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What is the technology behind our drowning detection system?
Computer vision is a field of artificial intelligence (AI) that enables computers and systems to interpret and understand visual information from the world. By utilizing various techniques in image processing, machine learning, and deep learning, computer vision allows machines to analyze images and videos, recognize objects, detect patterns, and make decisions based on visual data. This technology plays a crucial role in numerous applications, ranging from facial recognition and autonomous vehicles to medical imaging and security systems.
What classifies as drowning motion?
False Alarm Issue?
A key challenge with the current drowning detection system is the tradeoff between sensitivity and accuracy. The system has been configured to trigger an alert for any still motion lasting 10 seconds or slower swimming at approximately 0.5 meters per 5 seconds. This setting is intended to ensure that potential drowning incidents are not missed.
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However, this high sensitivity has resulted in a significant number of false alarms, which has drawn complaints from clients. Lowering the sensitivity to reduce false alerts may seem like a logical solution, but this could come at the cost of missing actual drowning cases.
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​Striking the right balance between sensitivity and accuracy is crucial, as missing a real drowning event could have tragic consequences. Lowering the sensitivity may reduce nuisance alerts, but it runs the risk of compromising the system's ability to detect authentic drowning incidents in a timely manner.