ConductVision Enterprise
ConductVision counts walkers, cyclists, parked bikes and event crowds across campus grounds for the facilities and events teams who plan paths, racks and outdoor space.
23 detectionsConductVision detections on this photo. Photo: Tulane Public Relations, CC BY 2.0, cropped.
Educational institutions face a unique combination of security, safety, and operational challenges across sprawling campuses that serve diverse populations on complex schedules. Perimeter security, building access control, bus zone safety, and facility utilization all require monitoring that scales beyond the capacity of traditional security staffing. ConductVision's technology is well-suited for educational environments, providing campus perimeter monitoring, capacity management, transportation zone safety, and unauthorized access detection that respects privacy while delivering actionable security intelligence. The platform can help administrators maintain safe environments without creating an oppressive surveillance atmosphere.
Outcomes
Racks overflow at some buildings while others stand empty, and new rack requests come from complaints.
Bikes end up locked to rails, trees and ramps beside the full racks.
Main paths carry walkers, cyclists and scooters at once when classes change.
Facilities cannot tell which path segments get busy enough to need a separate bike lane.
Grounds teams plan outdoor seating, shade and lighting with no count of who uses each space.
Money for benches and lights can go to spaces that stay empty most of the day.
Move-in day and graduation bring crowds the campus sees only a few days a year.
Plans for next year rest on staff memory of where lines formed and how long they lasted.
Campuses have multiple entry points, open perimeters, and building access patterns that change hourly. Bus loading zones present concentrated pedestrian-vehicle conflict risks during narrow time windows. Classroom and facility utilization data is typically estimated rather than measured, leading to inefficient space allocation.
ConductVision can monitor campus perimeters and building entries for unauthorized access patterns without facial recognition. Bus zone cameras can detect pedestrian-vehicle proximity risks and verify orderly loading sequences. Classroom and facility occupancy sensors can provide utilization data that informs scheduling and capital planning.
What the model sees
ConductVision detections on this photo.
ConductVision detections on this photo.
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 |
|---|---|---|---|
| PrimaryPeak path volume | Walkers and cyclists counted crossing a path segment in its busiest 15 minutes of the day. | Unit:people per 15 minutes | By:Path segment, weekday |
| SecondaryBike rack fill | Bicycles counted in a rack view divided by the rack's spaces, at the daily peak. | Unit:% | By:Building, weekday |
| Outdoor space use | People counted in each outdoor space, as the mean of the frames sampled in each hour. | Unit:people (hourly mean) | By:Space, hour, season |
| Event zone peak | Highest count of people in a zone during an event, with the time it occurred. | Unit:people | By:Zone, event |
Each pilot measures ConductVision on your own footage against a sample checked by hand, before anyone relies on its numbers.
Count agreement
Difference between the ConductVision count and a reviewer's hand count on a sample of frames.
people per frame (mean absolute difference) · by camera, crowd size
Bicycle recall
Share of parked bicycles a reviewer counts in sampled rack stills that ConductVision also detected.
% · by rack, light conditions
Crossing tally agreement
Difference between the ConductVision path crossings and a reviewer's tally over sampled 15-minute periods.
crossings per period (mean absolute difference) · by path segment
Capabilities
Counts and tracks people in each camera view, by zone and hour.
Classifies, counts and tracks cars, trucks, buses, motorcycles and bicycles.
Tracks posture, waiting and movement from pose keypoints in public spaces.
Counts dense crowds and maps where people gather, section by section.
Use cases
Cameras at campus boundaries can detect after-hours intrusions, vehicle loitering, and perimeter breaches. Alerts can be classified by time, zone, and behavioral pattern, enabling security teams to prioritize responses without monitoring every feed continuously.
Cameras at bus loading areas can detect students in vehicle paths, vehicles violating stop-arm signals, and pedestrian-bus proximity risks. Real-time alerts can reach transportation supervisors during the critical arrival and dismissal windows.
Entry cameras can detect tailgating through secured doors, propped-open emergency exits, and unusual access patterns outside of scheduled hours. Alerts can be integrated with access control systems for correlated event analysis.
Occupancy counting in classrooms, libraries, gymnasiums, and common areas can provide actual utilization data. Scheduling systems can receive empirical usage patterns that inform room assignment optimization and capital investment decisions.
During drills and actual evacuations, cameras at designated gathering points can provide headcount estimates to incident commanders. Zone-level occupancy before and after evacuation can help identify areas that may still have occupants.
Campus parking lots and internal roadways can be monitored for occupancy, traffic flow, and pedestrian conflict zones. Data can inform parking permit allocation, shuttle routing, and infrastructure improvement planning.
Related
Counts people, vehicles and bikes at intersections, stops and public spaces.
Measures flow, waits and occupancy in corridors, lobbies and entrances.
Tracks people and protective gear in laboratories and field stations.
Pilot
Tell us about your sites and cameras, and a ConductVision engineer replies with a scoping plan built around the endpoints above.
