Index of drowning detection system retailers

INDEX

The following is a list of drowning detection system retailers from around the world.

 

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.