ConductVision Enterprise

Vehicle Detection

Classify, count, and track vehicles, from bicycles to heavy trucks. Available for pilot.

Example vehicle detection scene with an illustrative detection overlay
Illustrative detection overlay, drawn for demonstration. Not model output.

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.

How it works

Vehicle Detection in three steps

Connect

Connect Traffic Cameras

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

AI Classifies Every Vehicle

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

Generate Traffic Intelligence

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.

Features

Multi-Class Classification

Distinguishes between cars, SUVs, trucks, buses, motorcycles, bicycles, emergency vehicles, and heavy commercial vehicles in a single inference pass.

Speed Estimation

Calibrated camera geometry enables per-vehicle speed estimation without radar. Accuracy within +/-5 km/h under standard mounting conditions.

Wrong-Way Detection

Flags vehicles traveling against the designated flow direction on one-way streets, highway ramps, or parking structures, triggering alerts.

Parking Occupancy Monitoring

Tracks individual parking spaces or lot zones, reporting real-time availability percentages and historical utilization patterns.

Lane-by-Lane Volume Counting

Counts vehicles per lane per time interval, classified by type. Data exports support standard traffic engineering formats.

Incident Detection

Identifies stopped vehicles, sudden deceleration patterns, and debris on roadways. Alerts can be routed to traffic management centers.

Night and Adverse Weather Mode

Enhanced preprocessing for low-light and rain/fog conditions maintains strong classification performance in degraded visibility.

Use cases

Intersection Traffic Studies

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

Highway Speed Monitoring

Agencies monitor speed compliance on highways and work zones. Camera-based speed estimation can provide continuous data without installing in-road sensors.

transportationgovernment

Smart Parking Management

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

Loading Dock Management

Warehouses need to track truck arrivals, dwell times, and bay utilization. Vehicle Detection can log every dock event with timestamps and vehicle classification.

logisticsmanufacturing

Campus and Gated Community Access

Gated communities and corporate campuses need to monitor vehicle flow without stopping traffic. Automated classification and counting can enable gateless access management.

corporatereal estate

Construction Zone Safety

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

Traffic Flow Optimization

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

Pedestrian Safety

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

Wrong-Way Detection

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

Parking Management

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

Bus Lane Enforcement

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

Intersection Monitoring

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

Speed Detection

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

Models
YOLOv8-L with custom vehicle-class head, trained on 2M+ annotated frames
Input formats
RTSP, ONVIF, MP4, HLS
Output formats
JSON, MQTT, Webhooks, CSV, NTCIP-compatible
Edge support
NVIDIA Jetson Orin, roadside compute units, any x86 with CUDA GPU

Accuracy and latency are measured against your footage and cameras during pilot scoping; we publish figures only with the conditions they were measured under.

Evaluate Vehicle Detection on your footage

One prioritized outcome, your cameras, a structured results review.