ConductVision Enterprise
ConductVision counts cars, trucks, buses, motorcycles and bicycles by class on roads, junctions and lots, for traffic, parking and site teams.
25 detectionsConductVision detections on this photo. Photo: Alika113, CC BY-SA 4.0, cropped.
Vehicle Detection identifies and classifies cars, trucks, buses, motorcycles, and bicycles across multiple lanes and camera angles. The system can estimate speed, detect wrong-way travel, monitor parking occupancy, and count traffic volume by vehicle class. It is designed to integrate with existing traffic infrastructure via standard protocols and provides the data foundation for intelligent transportation systems. The models are designed to handle varied weather, lighting, and camera angles.
Outcomes
Scooters and motorcycles weave between lanes and cross road sensors at odd angles.
Plans for two-wheeler lanes and parking rest on counts that may leave many of them out.
When the main lot fills, visitors park along shoulders, access roads and no-parking areas.
Staff learn the lot overflowed from blocked roads and complaints, after the fact.
Coaches and buses reach visitor sites and terminals in bunches.
Drop-off bays overflow and buses wait on the road while staff scramble.
A traffic count from a box on a pole is hard to defend when residents dispute it.
Studies get repeated, or decisions wait, because nobody can show how the number was made.
What the model sees
ConductVision detections on this photo. Photo: Ruth Zurielly Jennings, CC BY-SA 4.0, cropped.
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 |
|---|---|---|---|
| PrimaryClassified volume | Vehicles crossing each count line, by class, summed per hour. | Unit:vehicles per hour | By:Lane or approach, class |
| SecondaryTwo-wheeler share | Share of all vehicles counted at a site that are motorcycles or bicycles. | Unit:% | By:Approach, hour |
| Lot full hours | Hours in which every marked space in a lot holds a vehicle in the sampled frames. | Unit:hours per day | By:Lot, day |
| Overflow vehicles | Vehicles parked in drawn areas outside the marked bays, reported as the daily peak. | Unit:vehicles | By:Area, day |
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 over the same sampled 15-minute periods, by class.
vehicles per period (mean absolute difference) · by class, light level
Class agreement
Share of counted vehicles whose class matches the label a reviewer gives on sampled frames.
% · by class
Missed two-wheelers
Share of motorcycles and bicycles a reviewer marks in sampled frames that ConductVision did not box.
% · by camera, distance band
How it works
Connect
Mount cameras at intersections, highway overpasses, or parking entrances and connect via RTSP or ONVIF. The calibration wizard maps pixel coordinates to real-world distances for speed estimation.
Analyze
Each frame is processed by a multi-class detection model that identifies vehicle type, bounding box, and direction of travel. A tracking algorithm assigns persistent IDs to vehicles across frames for trajectory analysis.
Act
Wrong-way detections, speed violations, and parking events trigger alerts. Aggregated traffic counts and speed distributions feed into dashboards or third-party traffic management platforms via API.
What it detects
Car
Each car in view, counted per lane, count line or lot area
Truck
Pickups, vans and heavy trucks, counted apart from cars
Bus
Buses and coaches, counted by entrance and lane
Motorcycle
Motorcycles and scooters, including those riding between lanes
Bicycle
Bicycles in lanes, on shoulders and at crossings
Features
Use cases
Transportation engineers need turning-movement counts at intersections. Vehicle Detection can provide 24/7 automated counts by vehicle class and direction, replacing manual counting crews.
smart citytransportation
Agencies monitor speed compliance on highways and work zones. Camera-based speed estimation can provide continuous data without installing in-road sensors.
transportationgovernment
Parking operators often lose revenue from inaccurate availability data. Real-time space monitoring can drive accurate guidance signage and mobile app availability updates.
smart cityreal estateretail
Warehouses need to track truck arrivals, dwell times, and bay utilization. Vehicle Detection can log every dock event with timestamps and vehicle classification.
logisticsmanufacturing
Gated communities and corporate campuses need to monitor vehicle flow without stopping traffic. Automated classification and counting can enable gateless access management.
corporatereal estate
Wrong-way and speed violations in construction zones put workers at risk. Alerts to site supervisors can enable rapid response to dangerous driving behavior.
constructiongovernment
The challenge
Static signal timing cannot adapt to fluctuating traffic volumes, leading to unnecessary congestion and increased commute times.
How ConductVision helps
ConductVision can count and classify vehicles in real time at each approach. This data can feed into traffic management systems to enable adaptive signal timing, reducing average wait times and smoothing flow across arterial corridors.
smart cityinfrastructureautomotive
The challenge
Pedestrian-vehicle conflicts at crosswalks and intersections cause thousands of injuries each year, often at locations with poor visibility.
How ConductVision helps
The platform can detect pedestrians entering crosswalks and monitor approaching vehicle speeds. When a conflict is imminent, the system can trigger extended walk signals or flash warning beacons, and it can log all near-miss events for safety planning.
smart cityinfrastructure
The challenge
Wrong-way drivers on highway ramps and one-way streets cause high-severity head-on collisions, and existing detection methods are unreliable.
How ConductVision helps
ConductVision can identify vehicles traveling against the designated flow and trigger alerts to traffic management centers. Notification can feed dynamic message signs, ramp closures, and law enforcement dispatch.
smart cityinfrastructure
The challenge
Drivers circling for parking increase congestion and emissions, while operators lack accurate occupancy data for their lots and garages.
How ConductVision helps
The platform can monitor individual parking spaces and lot entries, providing real-time occupancy counts and availability maps. Integration with signage and mobile apps can guide drivers directly to open spots, reducing search time and improving lot utilization.
smart cityretaillogistics
The challenge
Unauthorized vehicles in bus lanes slow transit service and undermine investments in dedicated infrastructure.
How ConductVision helps
ConductVision can detect non-transit vehicles occupying bus lanes and capture license plate images as evidence. Automated enforcement data can integrate with citation systems, deterring violations and maintaining transit schedule reliability.
smart cityinfrastructure
The challenge
Red-light running and turning conflicts at intersections are leading causes of urban crashes, and manual review of footage is impractical at scale.
How ConductVision helps
The platform can analyze vehicle trajectories through intersections in real time, detecting red-light violations, illegal turns, and near-miss events. Aggregated data can reveal the most dangerous movements at each intersection, informing engineering countermeasures.
smart cityinfrastructure
The challenge
Excessive speed in school zones, work zones, and residential areas increases crash severity, but radar-based enforcement covers only a few locations.
How ConductVision helps
ConductVision can estimate vehicle speeds by tracking position across frames, identifying speeders in designated zones. This data can support enforcement operations and provide before-and-after metrics for traffic calming measures.
smart cityconstructioninfrastructure
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.
Tracks PPE, people and heavy equipment across the jobsite.
Counts vehicles and tracks crews and robots in plants and yards.
Counts people, bikes and vehicles across campus walkways and entrances.
Tracks containers, cranes, trucks and vessels across the terminal.
Related
Finds each vehicle and its plate at gates, lanes and car parks.
Counts and tracks people in each camera view, by zone and hour.
Tracks posture, waiting and movement from pose keypoints in public spaces.
Pilot
A pilot takes one prioritized outcome, runs on your cameras, reports the endpoints above and ends with a results review and a decision.
