Guidance: Index of drowning detection system retailers
Jan 29, 2022The following is a list of drowning detection system retailers worldwide.
Angel Eye
- Input data: overhead cameras, single lens, visible light; underwater cameras, single lens, visible light.
- Detection type: object recognition algorithm.
- Detection conditions: movement, body contouring, location on the bottom of the pool.
- Transmission type: ultra-high-frequency radio waves.
- Alert type: real-time video display via smartwatch.
- Intended audience: commercial.
- Usable locations: indoor and outdoor swimming pools.
- Usable conditions: natural and artificially lit environments, minimum turbidity required.
- Usable depths: unknown.
- Machine learning component: no.
- Installations worldwide: 200+ (2022).
- Website: https://www.spscuk.com/
Blue Fox WU2
- Input data: wearable.
- Detection type: ultrasonic.
- Detection conditions: submersion duration.
- Transmission type: ultra-high-frequency radio waves.
- Alert type: visual beacon, audible alert, vibrating wearable.
- Intended audience: commercial.
- Usable locations: indoor and outdoor swimming pools.
- Usable conditions: any.
- Usable depths: any.
- Machine learning component: no.
- Installations worldwide: unknown.
- Website: https://www.bluefox-swiss.com/en/home-en/
Camereye
- Input data: overhead camera, single-lens, visible light.
- Detection type: object recognition algorithm.
- Detection conditions: movement, body contouring, location on the bottom of the pool.
- Transmission type: ultra-high-frequency radio waves.
- Alert type: audio-visual, mobile application.
- Intended audience: commercial.
- Usable locations: indoor and outdoor swimming pools.
- Usable conditions: natural and artificially lit environments, minimum turbidity required.
- Usable depths: unknown.
- Machine learning component: no.
- Installations worldwide: unknown.
- Website: https://camereye.ai/
Coral Manta 3000
- Input data: underwater, single lens, visible light.
- Detection type: object recognition algorithm.
- Detection conditions: time and water depth.
- Transmission type: ultra-high-frequency radio waves.
- Alert type: audible and visual alert, mobile application.
- Usable locations: indoor and outdoor pools.
- Usable conditions: natural and artificially lit environments, minimum turbidity required.
- Usable depths: unknown.
- Machine learning component: no.
- Installations worldwide: unknown.
- Website: https://coraldrowningdetection.com/
diWatch
- Input data: overhead camera, single lens, visible light.
- Detection type: object recognition algorithm.
- Detection conditions: movement, body contouring, location on the bottom of the pool.
- Transmission type: ultra-high-frequency radio waves.
- Alert type: audible alarm via a mobile device.
- Intended audience: residential.
- Usable locations: indoor and outdoor swimming pools.
- Usable conditions: natural and artificially lit environments, minimum turbidity required.
- Usable depths: unknown.
- Machine learning component: no.
- Installations worldwide: unknown.
- Website: https://di-watch.com/en/info.html
iSwimband
- Input data: ultra-high frequency radio waves.
- Transmission type: ultra-high frequency radio waves.
- Alert type: audible alert, mobile device.
- Operator type: residential.
- Usable locations: indoor and outdoor swimming pools.
- Usable conditions: day and night.
- Machine learning component: no.
- Installations worldwide: unknown.
- Website: https://premieraquatics.com/news/view/swimband
Lifeguard Cam
- Input data: overhead camera, single lens, visible light.
- Detection type: object recognition algorithm.
- Detection conditions: movement, body contouring, location on the bottom of the pool.
- Transmission type: ultra-high-frequency radio waves.
- Alert type: audible and visual.
- Usable locations: indoor and outdoor swimming pools.
- Usable conditions: natural and artificially lit environments, minimum turbidity required.
- Usable depths: unknown.
- Machine learning component: no.
- Installations worldwide: unknown.
- Website: https://lifeguard.cam/
Lynxight
- Input data: overhead, single-lens, visible light.
- Detection type: object recognition algorithm.
- Detection conditions: movement, body contouring, location on the bottom of the pool.
- Transmission type: ultra-high-frequency radio waves.
- Alert type: wearable smartwatch.
- Intended audience: commercial.
- Usable locations: indoor and outdoor swimming pools.
- Usable conditions: natural and artificially lit environments, minimum turbidity required.
- Usable depths: unknown.
- Machine learning component: real-time, multi-site.
- Installations worldwide: unknown.
- Website: https://lynxight.com/
Poolview
- Input data: overhead cameras, single lens, visible light; underwater cameras, single lens, visible light.
- Detection type: object recognition algorithm.
- Detection conditions: movement, body contouring, location on the bottom of the pool.
- Transmission type: ultra-high-frequency radio waves.
- Alert type: real-time video display via a display screen.
- Intended audience: commercial.
- Usable locations: indoor and outdoor swimming pools.
- Usable conditions: natural and artificially lit environments, minimum turbidity required.
- Usable water depth: unknown.
- Machine learning component: no.
- Installations worldwide: unknown.
- Website: https://www.poolview.co.uk/poolview
Poolview Iris™
- Input data: overhead cameras, single lens, visible light; underwater cameras, single lens, visible light.
- Detection type: object recognition algorithm.
- Detection conditions: movement, body contouring, location anywhere in the pool.
- Transmission type: ultra-high-frequency radio waves.
- Alert type: real-time video display via a display screen.
- Intended audience: commercial.
- Usable locations: indoor and outdoor swimming pools.
- Usable conditions: natural and artificially lit environments, minimum turbidity required.
- Usable depths: unknown.
- Machine learning component: no.
- Installations worldwide: unknown.
- Website: https://www.poolview.co.uk/poolview-iris
Poseidon
- Input data: overhead cameras, dual-lens, infrared and visible light; underwater camera, dual-lens, visible light.
- Detection type: object recognition algorithm.
- Detection conditions: movement, body contouring, anywhere in the pool.
- Transmission type: ultra-high-frequency radio waves.
- Alert type: display screen.
- Intended audience: commercial.
- Usable locations: indoor and outdoor swimming pools.
- Usable conditions: natural and artificially lit environments, minimum turbidity required.
- Usable depths: 0.3-2.5 metres.
- Machine learning component: yes.
- Installations worldwide: unknown.
- Website: https://poseidon-tech.com/en-GB/
Seal Swimsafe™
- Input data: wearable.
- Detection type: ultra-high-frequency radio waves.
- Detection conditions: submersion duration.
- Transmission type: ultra-high-frequency radio waves.
- Alert type: audible alarm and visual beacon.
- Usable locations: indoor and outdoor swimming pools.
- Usable conditions: natural and artificially lit environments.
- Usable depths: any.
- Machine learning component: no.
- Installations worldwide: unknown.
- Website: https://beaqua.com.sg/seal-swimsafe/
Sentag
- Input data: wearable.
- Detection type: submersion.
- Detection conditions: time and water depth.
- Transmission type: ultra-high-frequency radio waves.
- Alert type: wearable device.
- Intended audience: commercial.
- Usable locations: indoor and outdoor swimming pools.
- Usable conditions: any.
- Usable depths: any.
- Machine learning component: no.
- Installations worldwide: unknown.
- Website: https://www.sentag.com/
Sightbit
- Input data: overhead camera, single lens, visible light.
- Detection type: object recognition algorithm.
- Detection conditions: movement, body contouring, location on the bottom of the pool.
- Transmission type: ultra-high-frequency radio waves.
- Alert type: real-time video display, display screen, mobile compatible.
- Usable locations: beach.
- Usable conditions: natural and artificially lit environments, minimum turbidity required.
- Usable depths: unknown.
- Machine learning component: no.
- Installations worldwide: unknown.
- Website: https://www.sightbit.com/
Smart Swim
- Input data: underwater, single lens, visible light.
- Detection type: object recognition algorithm.
- Detection conditions: movement, body contouring, location on the bottom of the pool.
- Transmission type: ultra-high-frequency radio waves.
- Alert type: audible and visual alert.
- Intended audience: commercial.
- Usable locations: indoor and outdoor swimming pools.
- Usable conditions: natural and artificially lit environments, minimum turbidity required.
- Usable depths: unknown.
- Machine learning component: no.
- Installations worldwide: unknown.
- Website: https://hkuit.com/product/
SwimEye™
- Input data: underwater, single lens, visible light.
- Detection type: object recognition algorithm.
- Detection conditions: movement, body contouring, location on the bottom of the pool.
- Transmission type: ultra-high-frequency radio waves.
- Alert type: audio alert via wearable radio.
- Intended audience: commercial.
- Usable locations: indoor and outdoor swimming pools.
- Usable conditions: natural and artificially lit environments, minimum turbidity required.
- Usable depths: unknown.
- Machine learning component: no.
- Installations worldwide: 120+ (2022).
- Website: https://swimeye.com/
Wave
- Input data: wearable.
- Detection type: submersion.
- Detection conditions: movement, body contouring, location on the bottom of the pool.
- Transmission type: ultra-high-frequency radio waves.
- Alert type: visual beacon, audible alert, vibrating wearable.
- Intended audience: commercial.
- Usable locations: indoor and outdoor swimming pools.
- Usable conditions: any.
- Usable depths: any.
- Machine learning component: no.
- Installations worldwide: unknown.
- Website: https://www.wavedds.com/
Zwembadcamera
- Input data: underwater cameras, single lens, visible light.
- Detection type: object recognition algorithm.
- Detection conditions: movement, body contouring, location on the bottom of the pool.
- Transmission type: ultra-high-frequency radio waves.
- Alert type: video display and audible alert.
- Intended audience: commercial.
- Usable locations: indoor and outdoor swimming pools.
- Usable conditions: day and night, minimum turbidity level required.
- Usable depths: unknown.
- Machine learning component: no.
- Installations worldwide: unknown.
- Website: https://www.zwembadcamera.nl/en/
Citation: Jacklin, D. 2022. Index of drowning detection system manufacturers. Water Incident Research Hub, 29 January.
