ConductVision Enterprise
ConductVision counts people, chairs and wheelchairs in entrances, waiting areas and corridors, for hospital operations teams who plan seating, staffing and equipment.
5 detectionsConductVision detections on this photo. Photo: Indrajit Das, CC BY-SA 4.0, cropped.
Healthcare facilities face persistent operational challenges that directly impact patient experience and staff efficiency. Waiting room overcrowding, patient fall events, restricted area breaches, and hand hygiene compliance gaps are difficult to monitor consistently with manual observation alone. ConductVision's technology can provide purely operational visual analytics for healthcare environments, monitoring facility flow, occupancy, safety events, and compliance behaviors without any diagnostic function. The platform can help administrators optimize throughput, support safety programs, and maintain auditable compliance records.
Outcomes
Visitors and staff search the entrance for a free wheelchair at busy times.
Staff leave their posts to fetch chairs from other floors.
Waiting areas fill past their seats at peak hours, and people stand in corridors.
Crowded waiting areas slow staff moving through and leave visitors without a seat.
Chairs and wheelchairs get left in corridors and beside exits.
Cluttered corridors slow staff moving beds and equipment between units.
Entrances and drop-off bays crowd at shift change and visiting hours.
Arrivals queue at the door while staff and visitors cross the same space.
Emergency departments and outpatient clinics struggle with unpredictable patient volumes that create bottlenecks in waiting areas and treatment rooms. Fall events in inpatient settings often go unwitnessed for critical minutes, and hand hygiene compliance audits capture only a small sample of actual behavior across shifts.
ConductVision can monitor waiting room occupancy, patient movement patterns, and treatment room turnover to optimize facility flow. Fall detection models can alert nursing staff when an event is detected. Hand hygiene monitoring at station entry points can provide continuous compliance data without manual auditing.
What the model sees
ConductVision detections on this photo. Photo: Downtowngal, CC BY-SA 4.0, cropped.
ConductVision detections on this photo. Photo: John Lord, CC BY-SA 2.0, cropped.
Endpoints
Each endpoint is defined before the pilot starts, with what is counted, its unit and how the results are broken down.
| Endpoint | How it is counted | Unit | Broken down by |
|---|---|---|---|
| PrimaryWheelchair availability | Share of sampled minutes in which an entrance has at least one free wheelchair in its bay. | Unit:% | By:Entrance, hour |
| SecondaryWaiting overflow | People counted in a waiting area minus the chairs in it, when above zero, reported as the hourly peak. | Unit:people | By:Area, hour |
| Corridor clutter time | Minutes a chair or wheelchair stays in a corridor zone past the set time, summed per day. | Unit:minutes per day | By:Corridor |
| Entrance volume | People crossing each entrance line inward, counted once per crossing. | Unit:entries per hour | By:Entrance, hour |
Each pilot measures ConductVision on your own footage against a sample checked by hand, before anyone relies on its numbers.
Wheelchair state agreement
Share of wheelchairs in sampled frames whose free or in-use state matches a reviewer's label.
% · by entrance
Free chair count
Difference between the ConductVision count of free chairs and a reviewer's count on sampled frames.
chairs (mean absolute difference) · by waiting area
Clutter alert precision
Share of corridor clutter alerts that a reviewer confirms in a hand-checked sample of stills.
% · by corridor
Capabilities
Counts and tracks people in each camera view, by zone and hour.
Tracks posture, waiting and movement from pose keypoints in public spaces.
Counts dense crowds and maps where people gather, section by section.
Pose tracking for work at height and on walkways, with fall alerts routed to staff.
Use cases
Cameras can track patient movement through registration, triage, treatment, and discharge zones. Bottleneck identification and turnover metrics can enable administrators to reallocate staff and resources to constrained areas in real time.
Occupancy counting in waiting areas can trigger overflow protocols when thresholds are reached. Historical volume patterns by hour and day of week can inform staffing schedules and appointment slot allocation.
Motion analysis models can detect fall events in patient rooms, hallways, and common areas. Alerts can reach nursing stations and flag events that often go unwitnessed during overnight shifts.
Pharmaceutical storage, server rooms, and sterile processing areas can be monitored for unauthorized entry. Access events can be logged with timestamps and visual records for security and compliance auditing.
Cameras at hand hygiene stations can detect whether staff perform sanitization upon entering and exiting patient zones. Compliance rates can be reported by department and shift without identifying individual staff members.
Related
Checks gloves, masks and goggles, and counts units on filling lines.
Counts people, bikes and vehicles across campus walkways and entrances.
Counts people, vehicles and bikes at intersections, stops and public spaces.
Pilot
Tell us about your sites and cameras, and a ConductVision engineer replies with a scoping plan built around the endpoints above.
