Introducing Lasso by SoundEye, the cutting-edge solution for ensuring safety and privacy in various environments. Utilising advanced LiDAR and sound recognition technology, Lasso provides camera-free monitoring, making it ideal for healthcare facilities, industrial areas, public spaces, and private residences. This system detects falls and distress sounds without capturing identifiable images, ensuring privacy and security. Experience unparalleled safety and efficiency with Lasso, the world's first technology to combine laser, radar, and sound recognition.
Lasso utilizes LiDAR and sound recognition technology to detect falls and distress sounds without capturing identifiable images, ensuring privacy and security in sensitive environments such as washrooms and patient bedrooms.
The system sends instant alerts to users' mobile devices or online dashboards when it detects signs of physical distress or abnormal sounds like screaming or coughing. It also features a 2-way intercom for immediate communication and alert verification, enhancing response times and accuracy.
Lasso operates autonomously without the need for wearables or manual activation, making it suitable for various settings including healthcare facilities, industrial areas, public spaces, and private residences. This versatility, combined with its non-intrusive nature, ensures safety across diverse environments while saving time and resources.
Lasso provides round-the-clock monitoring, eliminating the need for constant physical patrolling and thereby saving resources and reducing the risk of COVID-19 exposure.
Lasso system reduces alert fatigue by sending specific, timely alerts through sound and video clips, allowing for instant verification and quick response wherever you are.
Lasso provides round-the-clock monitoring, eliminating the need for constant physical patrolling and thereby saving resources and reducing the risk of COVID-19 exposure.
Utilizing advanced LiDAR and sound recognition technology, Lasso ensures privacy by not capturing identifiable images, making it suitable for sensitive environments like washrooms and patient rooms.
Captures a "depth image" of the environment.
Analyses the individual's position, pre-fall and post-fall.
Identify abnormal sounds like screaming, coughing or crying.
Sent to user's mobile device or online dashboard.
Instant communication and alert verification.
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