AI video analytics for hospitals and clinics, processed on your premises
Hospitals and clinics need to know who is entering sensitive areas, how busy the entrances are, and that the cameras were really working. Eye AI uses the cameras you already have to log entry into restricted areas, count visitors at entrances, and keep a record of every event. Video is processed on a computer inside your building, and Eye AI does not identify people.
What goes wrong on sites like yours
Pharmacy, stores and sensitive wards are hard to watch without a person on every door.
Entrances are busy, but no one has counts by hour or by entrance.
After an incident, it takes a long time to find the right moment in the footage.
What Eye AI does here
| Analytic | What it does on your site | Status |
|---|---|---|
| Restricted-area alerts | Logs entry into pharmacy, store and other restricted areas, with a picture | Live |
| Line crossing and counting | Counts people at entrances and corridors, by direction and hour | Live |
| Event history and reports | A searchable record of every event, exportable for audits | Live |
| Were we blind? stream health | Shows that each camera was healthy, minute by minute | Live |
| Group and crowd clusters | Flags clusters of four or more people in waiting areas | Beta |
| Blocked exits and fire routes | Checks that escape routes and corridors stay clear | Launching with pilot partners |
A day on your kind of site
Visitors arrive from 8 in the morning and Eye AI counts them at each entrance. A door to the pharmacy store is opened and the restricted-area log records the time and a picture. In the afternoon an auditor asks whether the cameras covering that door were working: the camera health record answers it, minute by minute.
Reports and evidence you get
- Entry records for restricted areas, with pictures
- Entrance counts by hour
- A camera-health record for auditors
Why existing cameras matter here
Healthcare sites have cameras in corridors, entrances and stores already. Using them keeps your data inside the building and avoids a new camera project.
Honest limits for this industry
- Eye AI does not identify patients, visitors or staff, and does not do face recognition.
- Crowded waiting rooms can hide people behind others; we check each view during the survey.
- Privacy signage and a written policy are still your responsibility; we can help you draft them.
Questions
Does it identify patients or staff?
No. It counts and logs events. It does not identify people.
Where is the video processed?
On a computer inside your building. It is not sent to a cloud for analysis.
Can I show an auditor the system was working?
Yes. The camera-health record lists every minute of every camera, with gaps.
Is it a medical or life-safety system?
No. It is a monitoring and record-keeping aid and does not replace alarms, inspections or clinical processes.
Which of this looks like your site?
We read every request and reply within 24–48 hours (working days, Monday to Friday) with questions and a proposed solution.
Request a solution