SquintPRO · Healthcare
AI video analytics for hospitals: restricted areas, hygiene rules and patient flow with SquintPRO
AI video analytics for hospitals turns the CCTV a hospital already records into alerts and counts its teams can use. SquintPRO, the video analytics platform Interkey builds and supports in Riyadh, watches the cameras you choose for conditions such as a person in a medication store after hours or a waiting hall filling up.
Orientation
At a glance
The page in one table, for the reader with five minutes.
- What it is
- SquintPRO, Interkey's own video analytics platform, for hospitals and clinics
- What it watches
- Restricted areas, protective clothing at zone entry, people counts and waiting time
- Cameras
- Your existing CCTV over RTSP or ONVIF, on views the survey qualifies
- Where it runs
- On-premise, so footage stays in the hospital, or in the cloud with 3, 6 or 12 months' retention
- How it is licensed
- Per camera stream, with unlimited use cases on a licensed stream; by quote
- What it does not do
- Recognise faces, identify patients, or confirm that hands were washed
- What Interkey does
- Camera survey, pilot, integration and support from Riyadh
Why AI video analytics for hospitals starts with the cameras you have
A hospital runs around the clock, its security team watches more screens than it can follow, and most footage is viewed only after something has gone wrong. Computer vision in hospitals changes what those cameras are for: the software raises an alert, with the video, when a defined condition occurs in a defined zone during set hours, and counts people as numbers, not identities, so staff know where to look in time to act.
This page covers SquintPRO video analytics in hospitals and clinics. For the wider practice, see our industrial safety practice.
Relatedindustrial safety practice
Hospital CCTV analytics: what SquintPRO watches in a hospital
Pick one or two for a pilot; the survey establishes what each camera can see.
| Use case | What SquintPRO detects | What it needs from the hospital |
|---|---|---|
| Restricted areas | A person in a medication store, plant room or staff-only corridor, at all times or set hours | Zones on each camera view, and their hours |
| Protective clothing at zone entry | A person entering a designated zone without the required gown or coverall | A camera at the entry, close enough to see the torso |
| Patient-flow counting | How many people are in a waiting hall or corridor, through the day | Cameras that see the whole area; an occupancy alert level |
| Waiting time | How long people stay at registration, pharmacy or laboratory windows | A camera covering the whole waiting zone |
| A searchable record | Each event logged; footage searched by description or image | Recordings from connected cameras |
Restricted areas: medication stores, plant rooms and staff-only corridors
Hospital safety monitoring usually starts with access. A medication store, sterile supply room or plant room should see only authorised staff, and an outpatient wing should be empty after hours. SquintPRO alerts when a person enters a zone drawn on the camera view, at all times or during set hours. It sees a person in a zone, not who they are; the access control system ties entry to a person, and the video adds evidence when a door is held open.
Hygiene and protective-clothing rules at zone entry
A gown or coverall is large and worn on the torso, so its presence at the entry to a designated zone is a realistic case on a well-placed camera. Masks and gloves are small at CCTV distances: expect them only in close views placed for that purpose. A camera does not confirm that hands were washed. Set grace areas, such as an anteroom, where clothing is put on. Our guide to detecting protective equipment on existing cameras covers each class.
Patient-flow counting without identifying patients
SquintPRO counts people in a waiting zone, measures density and dwell time, and alerts when a level you set is passed, so a manager can open another window before the hall fills. Peaks in the Kingdom, such as the start of the working week and Ramadan evenings, show up within a few weeks of counts. Our page on counting people on existing CCTV explains the camera view each measure needs.
Patient privacy, the PDPL and where footage is held
Footage of patients is personal data under Saudi Arabia's Personal Data Protection Law (PDPL), overseen by the Saudi Data and AI Authority (SDAIA). The hospital owns its policy; the system should make it easy to keep.
- Where cameras point. Patient rooms, examination areas and toilets stay out of scope.
- No identification. SquintPRO does not use face recognition and does not identify people.
- Where footage is held. On-premise on the hospital's servers, or in the cloud for 3, 6 or 12 months.
Interkey's engineers carry out the survey, integration and support from Riyadh, in Arabic and English.
How a hospital pilot runs
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Camera survey.
Each camera is sorted into usable, usable after adjustment, or needing new hardware; see our camera compatibility guide.
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Pilot scope.
One department, one or two use cases, and success criteria written first, including the false alerts per shift the team accepts.
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Privacy review.
Views, viewers and retention are agreed with the privacy and infection-control leads.
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Integration and tuning.
Alerts go into the VMS or control room already in use; zones, thresholds and grace areas follow how the building moves.
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Measurement and rollout.
Results are measured on your cameras against the criteria; more departments or sites follow once the pilot passes.
What drives the cost
SquintPRO is licensed per camera stream, with unlimited use cases on a licensed stream, so adding waiting-time counts to a camera already licensed for restricted-area alerts adds no licence. Each quote is built from the streams, the deployment model and any new cameras or servers; see how a SquintPRO quote is put together.
Questions hospital teams ask
Can our hospital use the CCTV cameras it already has for AI video analytics?
Usually, for most of them. SquintPRO works with existing cameras over RTSP or ONVIF; the survey sorts each camera, and the pilot measures the result on your own views.
Will SquintPRO alert security if someone enters the medication store after hours?
Yes, when the store or its door is a zone on a camera that sees it, with set hours. The alert reaches the control room with the video; it shows that a person entered, not who.
Can cameras check that staff put on gowns and masks before entering an isolation area?
A gown or coverall at the entry is a realistic case on a camera placed for it. Masks and gloves are small at CCTV distances, so pilot them in close views before relying on them. A camera does not confirm hand washing.
How do we see how full our waiting halls are without recording who the patients are?
SquintPRO counts people in a zone, measures how long they stay and alerts when a level you set is passed. It does not use face recognition or identify anyone, so the output is numbers per zone and hour.
How is SquintPRO priced for a hospital in Saudi Arabia?
By quote, per camera stream, with unlimited use cases on a licensed stream, built from the number of streams, the deployment model and any new cameras or servers needed.
Can hospital footage stay inside the Kingdom, and who supports the system locally?
Yes. On-premise, footage stays on servers the hospital controls; in the cloud, recordings are kept for 3, 6 or 12 months. Interkey supports the system from Riyadh, in Arabic and English.
Next
Related pages
Next step
Plan a hospital pilot
Tell us roughly how many cameras cover the hospital and the areas that worry your teams most. We will say which cameras can carry which use cases and what a pilot could measure.
Or directly
+966-11-2180999 [email protected]Tawuniya Towers, North Tower, 7th Floor, King Fahad Highway, Olaya, P.O. Box 56835, Riyadh 11564, Saudi Arabia