Technology
Sound
LASSO’s sound recognition technology is a breakthrough in detecting and classifying abnormal sounds, including screams, coughs, and cries for help. By evaluating hundreds of acoustic features, such as frequency, intensity, duration, and tonal patterns, the system accurately identifies distress signals in real-time. Immediate alerts are then sent to caregivers or security personnel, enabling rapid intervention.
One of the key advantages of sound recognition is its ability to operate without requiring line-of-sight, ensuring effectiveness even when obstacles are present. Additionally, the technology is language-independent, delivering reliable performance across diverse environments and languages, making it versatile and highly effective in both healthcare and safety applications.
Eye
LASSO leverages advanced depth imaging technology to capture detailed spatial data of its surroundings, enabling accurate detection of body postures and movements, such as bed exits and falls, without the use of traditional cameras. This privacy-preserving approach ensures dignity for users while maintaining high reliability in both dark and brightly lit environments, making it suitable for around-the-clock monitoring.
Our AI model has been rigorously trained on over a million images, allowing LASSO to achieve exceptional accuracy and minimize false alarms. By analyzing depth data in real-time, LASSO delivers precise and timely alerts, enhancing safety in sensitive environments like healthcare facilities, nursing homes, and residential care settings.
Depth Imaging Technology
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SoundEye LASSO leverages advanced body posture classification to enhance accuracy and minimize false alarms. It can reliably identify a wide range of postures, such as standing, lying on the bed, lying on the floor, sitting on the bed, and transitioning out of bed. By analyzing these specific postures in real-time, LASSO ensures that alerts are triggered only when truly necessary, providing caregivers with precise and actionable information while reducing unnecessary notifications.
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Many solutions in the market still require nurses to align the hospital bed within a designated “marker” on the floor and manually perform calibration. In contrast, SoundEye LASSO automatically detects the bed, simplifying the process and significantly reducing the workload for caregivers and nurses!
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SoundEye LASSO is designed to intelligently track human presence and activity. When a nurse or caregiver is assisting a patient on the bed, LASSO automatically deactivates the alert mechanism, eliminating unnecessary notifications. This feature not only addresses alert fatigue but also ensures that the device seamlessly reactivates without relying on manual intervention, reducing the risk of missed alerts that could occur with systems requiring manual control. This automation enhances efficiency and reliability, allowing caregivers to focus on providing care without additional operational burdens.
