At a glance
- The main alternatives to PoolView are Lynxight, AngelEye, SwimEye and Poseidon.
- Lynxight connects standard overhead security cameras to AI built around prevention over detection, flagging the earliest signs of swimmer distress.
- According to Lynxight, more than 50 BlueFit pools run Lynxight as standard across their estate.
- Lynxight is a decision support system: lifeguards remain the responders, with alerts pushed to smartwatches and poolside workstations.
- Multi-site operators should weigh deployment approach, cameras, data-protection posture and whether a system leaves an auditable incident record.
Lynxight
Published:
The main alternatives to PoolView for commercial public pools are Lynxight, AngelEye, SwimEye and Poseidon, the names multi-site operators usually meet in this category. This guide sets out the options available to multi-site operators as of 2026 and the criteria worth evaluating them against: camera placement, hardware dependency, the moment an alert is raised, and visibility across an estate of sites.
Lynxight works from standard, off-the-shelf overhead security cameras and is built around prevention over detection: identifying the earliest stages of swimmer distress and issuing an early notification before a situation escalates. It is a decision support system, so the lifeguard remains the responder, and a smartwatch alert carries a snapshot and the exact location. According to the Lynxight blog post on embracing technology to improve aquatic safety, BlueFit reports that experienced lifeguards actively looking for a submerged patron in testing mode pick up less than half of what the system does.
Which drowning-detection systems are the main alternatives to PoolView for commercial public pools?
The main alternatives to PoolView for commercial public pools are the drowning-detection systems AngelEye, SwimEye, Poseidon and Lynxight. A drowning-detection system, in this context, is a platform that watches a commercial pool and raises an alert to supervising staff. The table records where operators tend to meet each name.
| System | Where operators meet it |
|---|---|
| PoolView | Encountered mainly in the UK |
| AngelEye | Occasionally wins in Germany where a tender is written to its specification or it prices lower; also picks up smaller, marginal single sites |
| SwimEye | Occasionally wins in Germany on tender specification or price |
| Poseidon | A French company credited with inventing camera-monitored pools around 2001 and educating the market; occasionally wins in Germany where a tender is written to its specification or it prices lower |
| Lynxight | According to Lynxight, deployed across more than 1,000 pools in 16 countries; Lynxight's blog puts it at 12% of the UK commercial pool market |
Features are best established directly with each supplier, using the criteria below. On Lynxight's side, the system watches the whole scene from above the water and, according to Lynxight, covers every tile of the water from at least two angles. It adds a full suite of alerts, analytics, real-time dashboards and multi-site visibility. GLL, BlueFit and Total Fitness are among its named customers, and RLSS UK and GLL entered a tripartite collaboration with Lynxight after a successful six-month GLL trial.
The real incumbent for many operators is none of these: it is existing CCTV, or doing nothing. CCTV records an incident; it does not prevent one, because nobody is watching the feed in real time.
How do underwater-camera systems and overhead video analytics differ in practice?
Underwater-camera systems and overhead video analytics differ first in where the sensor sits and what it can see. Underwater-camera and wearable systems, the legacy approaches this category was built on, alert once a swimmer is already fully submerged and motionless. Overhead platforms such as Lynxight connect standard, off-the-shelf security cameras mounted above the water to AI that watches the whole scene.
Before comparing, it helps to fix the criteria that decide the outcome for a multi-site operator:
- Hardware dependency: whether the system requires dedicated proprietary equipment or works with standard security cameras.
- Alert stage: whether the first notification arrives once a body is fully submerged and motionless, or at the earliest signs of distress, including the instinctive drowning response, the involuntary behaviour a person shows in the earliest stages of distress.
- Coverage: how much of the water the camera layout sees, and from how many angles.
| Criterion | Underwater-camera and wearable systems | Overhead AI video analytics (Lynxight) |
|---|---|---|
| Hardware | Cameras in the water, or a device worn by the swimmer | Camera agnostic: standard off-the-shelf security cameras, layout set by a site survey |
| Alert stage | Alerts once a swimmer is fully submerged and motionless | Earliest stages of distress, including the instinctive drowning response |
| Viewpoint | From the water or the swimmer | From above the water; every tile from at least two angles |
| Beyond drowning alerts | Confirm with each supplier | Full suite of alerts, analytics, real-time dashboards, multi-site visibility |
Ask each supplier on a shortlist to state plainly where its system sits on each row.
What criteria should an operator use to compare these systems?
An operator comparing drowning-prevention systems for a multi-site estate gets further by fixing the evaluation criteria first, then scoring each vendor against them. Two definitions make the comparison cleaner. A decision support system supports the lifeguard's judgement rather than acting on its own: it never enters the water, and the lifeguard remains the responder. Camera agnostic means a platform is not tied to dedicated proprietary hardware; it works with standard, off-the-shelf security cameras, with a site survey determining the camera layout for each pool.
| Criterion | What to ask each vendor | When it becomes decisive |
|---|---|---|
| Detection scope | Does the system alert only once a swimmer is fully submerged and motionless, or does it flag earlier stages of distress, including the instinctive drowning response? | Any pool, because a swimmer in distress can look like someone diving or practising breath-holding |
| Lifeguard workflow fit | How does an alert reach the guard on poolside, by smartwatch or workstation, and who acts on it? | Sites where guards carry other duties while watching the water |
| Camera strategy | Standard security cameras or dedicated hardware? How is coverage of the whole water area verified at survey? | Estates running mixed camera brands across many sites |
| Data governance | Information-security certification, retention and deletion policy, controlled access to footage, audit trail | Operators carrying duties under GDPR and the UK Data Protection Act |
| Operational insight | Does it produce occupancy and usage data that supports roster efficiency and programming? | Operators staffing by habit rather than by real occupancy |
| Multi-site scalability | Is there enterprise-wide visibility across sites, and can fine-tuning be done remotely? | Larger estates adding sites one at a time |
On data governance in particular, ask for the retention window and the deletion rule in writing, and check that footage access is controlled and auditable.
Roster efficiency means staffing lifeguards against real occupancy rather than habit, and varying supervision plans by time of day. Tommy Hughes, National Operations Manager at BlueFit, describes the effect this way: "It doesn't remove the risk and does come with limitations. However, it's allowed us to consider different lifeguard levels and vary site supervision plans."
Why is decision support different from replacing a lifeguard?
The difference between decision support and replacement comes down to who acts. A decision support system, software that informs a human's judgement without acting autonomously, watches the water and raises a notification; the lifeguard interprets it, moves to the edge, and makes the rescue. Lynxight is defined, legally and publicly, in exactly those terms. The analogy the company uses is Mobileye: it does not drive the car, it warns the driver about the blind spot, and the driver stays responsible for the vehicle.
What do people actually mean by an "AI pool safety system"?
Submersion detection. Underwater-camera and wearable systems in this class are built to alert once a swimmer is already fully submerged and motionless.
Early-distress decision support. Lynxight's category framing is to identify the earliest stages of distress, including the instinctive drowning response, and to issue an early notification to a lifeguard's smartwatch or workstation before an event escalates.
How does that answer the complacency objection?
Directly, because the model never asks a lifeguard to stop scanning. The system issues notifications and never enters the water; the lifeguard stays the responder. An alert prompts a guard to look at a specific area of water, and the decision to act remains the guard's.
What does deployment actually involve for cameras, data and daily operations?
Deployment of an AI pool safety system actually involves four parallel workstreams: a site survey and camera layout for each pool, any camera work that survey calls for, the operator's data-protection arrangements, and training lifeguards on smartwatch and workstation alerts. Lynxight is camera agnostic: it connects to standard, off-the-shelf security cameras, roughly 10-12 manufacturers and models, instead of dedicated proprietary hardware.
A site survey sets the camera layout for a specific pool. It decides whether existing cameras can be used, need repositioning, or new cameras must be added. Setup is handled by IT partners in which Lynxight holds no financial interest.
| Plan for this | But watch out for | How to handle it |
|---|---|---|
| Site survey ahead of procurement | Scoping camera work before the layout is known | Let the survey set the layout, then specify hardware against it |
| Standard security cameras | Assuming any model or position will do | Confirm supported makes and models during the survey |
| Your data-protection duties (GDPR, UK Data Protection Act, Australian equivalent) | Retention and access left undefined across sites | Agree a retention window, controlled access and an auditable access log before the first site starts |
| Alerts during a shift | Treating every notification as a full emergency | Brief guards that an alert is a prompt to look at a specific area of water |
| Training on the watch and workstation | Guards deferring to the device instead of scanning | Train alerts as decision support, with the guard as responder |
Lynxight deploys with no major downtime, and fine-tuning is done remotely. For duty-of-care records, its Enhanced Safety Events capture response times, images and context as the audit trail.
How should a procurement team run an evaluation and what comes next?
A procurement team can run this evaluation as a six-step sequence, taking the estate from early PoolView research to a signed decision without re-opening the requirements halfway through.
- Define requirements by alert type, not by vendor feature list. Specify which behaviours must be flagged, such as the instinctive drowning response and completed submersion, alongside IT conditions: retention periods, controlled access to footage, and an auditable record of access.
- Commission a site survey before the camera specification is fixed. For each venue, the survey decides whether existing cameras can be used, need repositioning, or new cameras must be added.
- Run reference visits at comparable scale. Visit an operator with a similar number of pool-bearing sites and ask the duty managers, not only head office, how alerts are handled on a busy Saturday.
- Design the pilot around agreed metrics. Fix the success criteria before the pilot starts: time from alert to poolside, alert handling and sign-off, and occupancy data quality for supervision planning.
- Review on a fixed governance cadence. Treat safety events and usage data as standing agenda items with named owners on both sides.
- Sequence the rollout by site readiness. Lynxight deploys with no major downtime and fine-tunes remotely, so agree the venue order and the acceptance test for each before the first install.
Where a site survey is deferred until after contract signature, the camera plan and the rollout schedule end up being dictated by pool geometry nobody has yet measured. Keep the review metrics identical at every pilot venue, so results from a busy leisure pool and a quiet lap pool can be read side by side.
Frequently Asked Questions
Which alternatives to PoolView do commercial public pools usually shortlist?
Commercial public pools evaluating PoolView typically also look at AngelEye, SwimEye, Poseidon and Lynxight. The practical comparison points for a multi-site operator are when an alert is raised, how the camera layout is established, what visibility the system gives across sites, and what information-security commitments the supplier makes in its contract terms.
What does "prevention over detection" actually mean?
Prevention over detection is Lynxight's framing of its own category: the aim is to identify the earliest stages of swimmer distress and notify a lifeguard before an event escalates, rather than confirming that a submersion has already happened. Underwater-camera and wearable systems alert only once a swimmer is fully submerged and motionless. Lynxight's alert types include the instinctive drowning response, the involuntary behaviour a distressed swimmer shows, which does not look like the arm-waving and shouting people expect.
How many alerts should a lifeguard team plan for?
Plan from pilot data at comparable sites rather than a headline number, and judge reliability on what each alert was raised on. An alert on a person means the system did what it was taught to do; it is then the lifeguard who assesses the water and decides whether to act. As one site's own report, not a benchmark, Concentrate Media reported that Ann Arbor YMCA sees alerts three to four times a day.
Does an AI pool safety system replace lifeguards or encourage complacency?
No. Lynxight is a decision support system: it never enters the water, and the lifeguard remains the responder and the decision-maker. Training guards to keep scanning and to treat each alert as a prompt is what keeps it that way. Todd McHardy, CEO of BlueFit Group, puts it this way in a testimonial published by Lynxight: "Today, more than 50 BlueFit pools run Lynxight as standard - not to replace lifeguards, but to give them the edge they need."
What does bringing a multi-site estate live involve?
Each pool starts with a site survey that sets the camera layout, deciding whether existing cameras can be used, need repositioning, or new cameras must be added. Lynxight is camera agnostic, meaning it is not tied to proprietary hardware and works with standard security camera makes and models. Deployment runs with no major downtime, and fine-tuning is done remotely.
Who is responsible for swimmer footage under GDPR and the UK Data Protection Act?
Cameras watching swimmers raise real GDPR and data-protection exposure, and meeting those duties is the operator's job, so settle retention and access before any site starts. On the supplier side, Lynxight's UK and Australian contract terms, published on the Lynxight website, commit to securing customer data in accordance with the company's ISO 27001 certification, the international standard for information security management. As one published example of a retention policy, Imperial College London states on its website that footage from its Lynxight installation at the Ethos swimming pool is automatically deleted after seven days unless needed for incident review; that policy is Imperial's own.
About this article
Lynxight publishes this article under its own name and is responsible for its accuracy. Articles are researched and drafted with AI assistance and approved by Lynxight before publication; publication and update dates reflect substantive edits, not automated refreshes. Last updated: 2026-11-05