★★★★★
Sieora's system has given us real peace of mind. Their team understood our safety needs and delivered a solution we can genuinely rely on.
Head of Safety OperationsNippon Paint India
Start Here
What This Is — and Just as Important, What It Isn't
On a patient-facing deployment, being exact about scope matters more than almost anywhere. So before the modules, here's the honest boundary.
What it does
- Detects defined safety events — such as a fall — and alerts staff in real time
- Gives continuous visibility into safety, compliance and flow between rounds
- Builds a timestamped record that supports quality and patient-safety review
What it does not do
- Does not replace nursing rounds or clinical judgement
- Does not make clinical decisions or assess a patient's condition
- Is not a medical device
- Does not place cameras in patient rooms or bathrooms
The honest summary: this supports your clinical team with continuous attention and a documented record. It's a layer of visibility, not a substitute for trained people — and patient dignity is a design constraint, not an afterthought.
Privacy & Patient Dignity
Privacy Is the Starting Constraint, Not a Feature
A hospital deployment is shaped first by patient dignity. Here's exactly how that's designed in — before any module is switched on.
Four Design Choices That Come Before Everything Else
These aren't toggles flipped on afterward — they're the constraints the whole deployment is built around from the first conversation.
Processing can run at the edge
Where configured, analysis happens on-site instead of streaming everything out — so less patient data ever leaves the building.
Event-based, not always-recording
The system can be set to analyse for a defined condition and log that event, rather than continuously recording patients throughout the day.
Zone exclusions are deliberate
Cameras stay out of patient rooms, bathrooms and other private areas by design — set up as part of deployment, not left to chance.
Role-based access
Not everyone with a login sees everything — access to feeds and events is scoped to role, so visibility follows responsibility.
Said plainly, because it matters here more than almost anywhere: how each of these is configured is decided with your team, and privacy compliance is a property of your whole deployment — not the software alone. We'd encourage involving your own data-protection function directly. Data handling is designed with India's DPDP Act 2023 in mind. This isn't legal advice.
Hospital Modules
What It Covers, Grouped by Function
Only modules confirmed for your facility go live; availability is checked during the assessment. (Some are configured per deployment — marked below.)
Patient Safety
The trust anchor of the deploymentFall Detection
Spots a fall event in a monitored zone and alerts nursing staff in real time, so response doesn't hinge on someone happening to be nearby or a round coinciding with the moment.
Video analytics →Fire & Smoke Detection
Catches fire and smoke risk across wards, storage and utility areas before it grows — especially where oxygen lines and flammable supplies sit near patients.
Where configured
SOS Signalling
Supports a rapid alert path from a patient or staff member to the response team, tied into the same monitoring layer.
Clinical Compliance
A complement to your infection-control processesHygiene & Protocol Compliance
Supports visibility into hand-hygiene and protocol adherence in clinical areas — a complement to, never a replacement for, the infection-control audits you already run.
PPE Compliance in Clinical Zones
Where PPE is required in a defined zone, monitors for compliance — tuned for a clinical setting rather than an industrial one.
PPE detection →Operations
The same continuous-visibility idea, applied to patient flowOPD Queue & Wait Visibility
Gives a live view of queue length and wait conditions in OPD and waiting areas, so a bottleneck is visible as it builds rather than in a report afterward.
People counting →Ward & Area Occupancy
Supports visibility into how busy a ward or waiting area is right now — useful for staffing calls made in the moment, not from yesterday's pattern.
Where configured
Staff Attendance
Supports attendance visibility from existing cameras rather than a separate device or badge system.
Security
Visibility a locked door alone can't give youRestricted-Area Access
Flags access to pharmacy, records and other restricted zones outside authorised use — adding visibility once someone is already inside, which a lock alone can't.
On limits, plainly: each module's availability depends on what's genuinely confirmed for your facility — this reflects what's live, not a roadmap shown as available today. Every module needs a camera with a workable view of the zone, and no blanket accuracy figure is published; reliability is validated on your own cameras and zones during assessment. If a module you need isn't listed, ask directly.
Why It Matters
Passive Cameras Record. They Don't Protect.
Existing CCTV is genuinely useful — after the fact. The gap is the minutes between an event and anyone noticing, which in a hospital is exactly where the risk lives.
Unwitnessed falls are the hardest to answer
A fall in a corridor or ward is time-critical, and response depends on someone being nearby when it happens — which a scheduled round can't guarantee. The cost of delay shows up in the patient's outcome.
Night shifts: thinnest staffed, highest risk
The hours with the fewest people on the floor are often the hours a patient is most likely to get up unaided. Continuous monitoring doesn't tire or thin out overnight.
OPD congestion compounds through the day
A bottleneck not spotted early snowballs — by mid-morning it's a crowded waiting area and a backlog affecting every patient after it. Visibility as it forms beats a report afterward.
Quality reviews get reconstructed from memory
When a patient-safety review needs to understand what happened, the answer often rests on what someone wrote at the time — and rebuilding a timeline from paper is slow and incomplete.
The cameras are already there. The missing piece is attention.
None of this is a failure of care — it's the structural limit of any team: people can't be everywhere, and a passive camera only helps once you already know where to look. What analytics adds is continuous attention on the events that matter, with the alert reaching staff as it happens — while keeping patient dignity as a starting constraint.
How It Works
Four Phases, On the Cameras You Already Have
No new hardware in patient spaces. Zones, privacy settings and alert routing are configured with your team.
01
Define zones per area
Monitored zones — a ward corridor, an OPD waiting area, a pharmacy entrance — are configured with the rules relevant to each, and patient rooms and bathrooms are excluded from the start.
02
Analyse existing feeds
The AI reads feeds from cameras already covering those shared and transit areas — nothing added inside private patient spaces, with privacy settings applied per zone.
03
Alert the right person
When a defined event is detected — a fall, fire, restricted access — the alert reaches the right team immediately, with the zone and an evidence image.
04
Log for review
Each event is recorded with timestamp, zone and image in the cloud or on-premise, supporting quality and patient-safety review per your data-residency needs.
Where It's Used
Hospital Areas It Covers
The shared and transit spaces where safety events and flow bottlenecks happen — not private patient areas.
Wards & Corridors
Where falls are most likely to go unwitnessed, and where a real-time alert makes the biggest difference to response time.
OPD & Waiting Areas
Where queue and wait conditions build through the day, and live visibility lets staff act on a bottleneck as it forms.
Entrances & Front Desk
High-traffic transit points where access, flow and general safety visibility matter — without monitoring anyone's clinical care.
Pharmacy & Restricted Stores
Controlled zones where restricted-access flagging adds a layer of visibility a locked door alone can't provide.
Staff & Back-of-House
Non-patient operational areas where hygiene, PPE and attendance visibility apply — away from patient-facing zones entirely.
Why Sieora
Why Choose Sieora for Hospitals
Runs on cameras you already have
Modules are defined on existing camera views in shared and transit areas — no dedicated hardware for the detection itself.
Privacy modes built for patient areas
Edge processing, event-based detection, zone exclusions and role-based access are constraints, not bolt-ons.
One platform across safety, compliance & ops
Falls, fire, hygiene, OPD flow and restricted access run on the same cameras and the same platform — not a vendor per concern.
A vision-AI team, Chennai-based
Backed by Google Cloud, NVIDIA Inception and Microsoft for Startups, with engineering and support close to you.
Honest about scope
We say plainly this supports staff rather than replacing them, we don't publish a fall-detection accuracy figure we can't stand behind, and it isn't a medical device.
Configured for your hospital first
Modules, zones and privacy settings are set up around your wards and OPD before anything goes live.
FAQ
What Hospital Teams Ask First
Does it record video of patients?
Not necessarily, and that's a deliberate design choice. Processing can typically run at the edge and detection can be built around events rather than continuous recording — so the system can analyse for a defined condition and log that event rather than continuously recording patients. How it's set up is decided with your team per zone, and cameras stay out of patient rooms and bathrooms by design.
How does fall detection work, and how accurate is it?
The system watches a defined zone for the posture and movement pattern of a fall and alerts nursing staff when one is detected. We don't publish an accuracy figure as our own claim — computer-vision fall detection is an active research area with promising but imperfect published results, and reliability depends on camera placement, lighting and the zone. An assessment addresses that directly rather than a blanket number. It speeds response; it doesn't replace nursing observation.
Does it need new cameras, or does it use our existing CCTV?
In most cases it works with existing cameras, as long as they have a workable view of the zone being monitored — angle, distance and lighting all affect reliability. An assessment identifies which cameras are suitable and where a repositioned or added camera would help.
Is this DPDP compliant for patient data?
Data handling is designed with India's DPDP Act 2023 in mind — edge processing, event-based detection, zone exclusions and role-based access all reduce how much personal data is captured and who can see it. Compliance is a property of your whole deployment and processes, not the software alone, so specifics are confirmed for your hospital and we'd encourage involving your own data-protection function. This isn't legal advice.
Can cameras go in patient rooms or bathrooms?
No — by design. Zone exclusions keep cameras out of patient rooms, bathrooms and other private areas, set up deliberately as part of deployment rather than left to chance. Patient dignity is a starting constraint, not an afterthought.
Does this replace nursing rounds or clinical judgement?
No, and it's important to be clear. It's a continuous layer of visibility that alerts staff to specific events between rounds — it doesn't make clinical decisions, assess a patient's condition, or replace the judgement of trained staff. It supports your team; it doesn't substitute for it. It is not a medical device.
Does it help with NABH or patient-safety documentation?
It can support it. A timestamped record of detected safety events — falls, fire or smoke, restricted access — gives quality teams evidence a single round wouldn't capture, and surfaces recurring patterns by area. It's a supporting record for your own quality and accreditation processes, not a substitute, and we don't claim it satisfies any specific NABH requirement on its own.