ConductVision Enterprise
ConductVision counts the people in each camera view and the people crossing each entrance, hour by hour, for teams that run stations, stores, offices and venues.
20 detectionsConductVision detections on this photo. Photo: Victor Kibiwott, CC BY-SA 4.0, cropped.
People Detection transforms standard surveillance cameras into intelligent occupancy sensors. The system is designed to count individuals, measure crowd density, track movement paths across zones, and identify events such as falls or sudden congregations. Built for facilities of any size, it can scale across many concurrent video streams. Whether you are managing a retail floor, a transit hub, or a research facility, the platform delivers continuous, privacy-respectful analytics without requiring specialized hardware.
Outcomes
Staff with hand clickers stop counting when the doors get busy.
The busiest hours, the ones that set staffing and cleaning plans, end up with the weakest counts.
Meeting rooms, lobbies and floors get planned around how busy they seem.
Rooms that stand empty for much of the day still get heated, cleaned and booked.
Buildings with several entrances rarely know which door most people use.
Signs, staff and cleaning go to the main door by habit.
A count from a ceiling sensor is hard to trust when it disagrees with sales or badge records.
Teams argue over whose number is right, and the count stops being used.
What the model sees
ConductVision detections on this photo.
ConductVision detections on this photo. Photo: Dllu, CC BY-SA 4.0, 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 |
|---|---|---|---|
| PrimaryEntries by entrance | People who cross an entrance line inward, counted once per crossing and summed by hour. | Unit:entries per hour | By:Entrance, weekday |
| SecondaryPeak occupancy | Highest number of people counted inside a zone in any sampled frame of the day. | Unit:people | By:Zone, day |
| Hours in use | Share of open hours in which at least one person is counted inside the zone. | Unit:% | By:Zone, week |
| Door share | Entries through one door as a share of entries through all doors of the building. | Unit:% | By:Door, hour |
Each pilot measures ConductVision on your own footage against a sample checked by hand, before anyone relies on its numbers.
Entry count agreement
Difference between the ConductVision entry count and a reviewer's hand count for the same sampled hours.
entries per hour (mean absolute difference) · by entrance, crowd level
Missed people
Share of people a reviewer marks in sampled frames that ConductVision did not box.
% · by camera, distance from camera
Double counts
Crossings counted twice for one person, such as when a track breaks and restarts, per 100 reviewed crossings.
per 100 crossings · by entrance
How it works
Connect
Add any IP camera via RTSP or ONVIF discovery. The platform auto-detects resolution, frame rate, and orientation so you can start analyzing within minutes.
Analyze
A lightweight detection model runs inference on each frame, identifying individuals and estimating their position in 3D space. Tracking algorithms link detections across frames to build continuous movement trajectories.
Act
When occupancy thresholds are crossed or specific events occur, such as a fall or a queue exceeding a defined length, the system fires alerts via webhook, MQTT, or email. All events are logged with frame snapshots for audit.
What it detects
Person
Each person in view, boxed in every frame whether walking, standing or seated
Person track
One ID per person from entering the view to leaving it
Line crossing
Each crossing of an entrance line, in or out
Zone headcount
People inside each drawn zone, per frame
Body pose
Standing, seated or lying, from pose keypoints where a task needs posture
Features
Use cases
Retailers often struggle to understand in-store customer flow. People Detection can map movement patterns across aisles and departments, providing data to optimize store layout and staffing schedules.
Transit authorities need to prevent dangerous overcrowding on platforms. Real-time density mapping can trigger alerts when platform occupancy approaches capacity, enabling proactive crowd control measures.
smart citytransportation
Facilities managers must maintain occupancy limits in conference rooms and open offices. Automated counting can provide live dashboards and historical reporting without manual check-ins.
corporatereal estate
Falls in assisted-living facilities often go unnoticed for critical minutes. Fall detection can send alerts to on-duty staff, reducing response times from minutes to seconds.
healthcaresenior living
Large venues need to monitor entry rates and zone densities during events. Bidirectional counting and density mapping can ensure that no area exceeds safe capacity.
eventshospitality
Laboratories require accurate records of who enters controlled areas and when. People Detection can provide timestamped entry/exit logs without requiring badge swipes at every threshold.
The challenge
Gate access systems that rely solely on keycards or remotes are vulnerable to lost, shared, or cloned credentials.
How ConductVision helps
ConductVision can read license plates at gate approaches and match them against an authorized vehicle list. Gates can open automatically for recognized vehicles, and unrecognized plates can be logged with timestamps and images for security review.
The challenge
Badge-based access can be defeated by sharing or theft, and security desks cannot verify every individual during peak entry periods.
How ConductVision helps
The platform can perform opt-in facial verification at access points, matching entering individuals against an enrolled database. This adds a biometric layer to existing badge systems, and all processing can occur locally with no cloud transmission of biometric data.
The challenge
Visual verification of badges, permits, and credentials at checkpoints is slow and subjective, especially for temporary or contractor passes.
How ConductVision helps
ConductVision can read badge text, QR codes, and permit numbers using OCR, cross-referencing against active credential lists. Expired or invalid credentials can be flagged for review, reducing checkpoint processing time while improving accuracy.
The challenge
Tailgating through secured doors, where an unauthorized person follows an authorized badge holder, undermines the entire access control system.
How ConductVision helps
The platform can count the number of people passing through a door after each badge swipe. If more than one person enters on a single credential, the system can alert security with video evidence, deterring casual tailgating and identifying repeat offenders.
The challenge
Tracking visitors through a facility after they pass the front desk is difficult, and ensuring they remain in authorized areas requires escort or honor-system compliance.
How ConductVision helps
ConductVision can track visitor movement through camera views, verifying that visitors remain in escorted or authorized zones. If a visitor enters a restricted area, the system can alert security with the visitor location and the nearest escort point.
Technical overview
Accuracy and speed are measured on your footage and cameras during the pilot, and reported with the conditions they were measured under.
Industries
Counts people, vehicles and bikes at intersections, stops and public spaces.
Tracks forklifts, pallets, trucks and people from dock door to rack.
Watches stations, robots and crews across the factory floor.
Tracks PPE, people and heavy equipment across the jobsite.
Counts shoppers, queues and carts from the store's existing cameras.
Measures flow, waits and occupancy in corridors, lobbies and entrances.
Related
Tracks posture, waiting and movement from pose keypoints in public spaces.
Finds people, vehicles and animals in thermal camera frames, day or night.
Checks hard hats, vests, goggles, gloves and masks against each zone's rules.
Pilot
A pilot takes one prioritized outcome, runs on your cameras, reports the endpoints above and ends with a results review and a decision.
