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Capabilities - Vehicle Detection

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. Our models maintain high accuracy across weather conditions, lighting changes, and camera angles from 15 to 90 degrees.

Vehicle Detection
Multi-Class Detection
Real-Time
Processing Latency
<65ms
Vehicle Classes
8

How it works - Vehicle Detection in three steps

Get started with vehicle detection in minutes using your existing camera infrastructure.

  • 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.
  • 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.
  • Generate Traffic Intelligence. Wrong-way detections, speed violations, and parking events trigger immediate alerts. Aggregated traffic counts and speed distributions feed into dashboards or third-party traffic management platforms via API.

Features

Everything you need for production-grade vehicle detection.

  • 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 immediate 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 within seconds.
  • Night and Adverse Weather Mode. Enhanced preprocessing for low-light and rain/fog conditions maintains strong classification performance in degraded visibility.

Use cases

Real-world applications of vehicle detection across industries.

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 City
  • Transportation

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.

  • Transportation
  • Government

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 City
  • Real Estate
  • Retail

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.

  • Logistics
  • Manufacturing

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.

  • Corporate
  • Real Estate

Construction Zone Safety

Wrong-way and speed violations in construction zones put workers at risk. Instant alerts to site supervisors can enable rapid response to dangerous driving behavior.

  • Construction
  • Government

See how vehicle detection works in your environment

Schedule a free discovery call. We will walk through your cameras, your use case, and what our detection models can do for you.

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Technical specifications

Models
YOLOv8-L with custom vehicle-class head, trained on 2M+ annotated frames
Accuracy
Classifies 8 vehicle types; validated across weather conditions, lighting changes, and camera angles from 15° to 90°
Latency
<65ms per frame on NVIDIA T4
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

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  • Headquarters
    ConductScience Inc.
    5250 Old Orchard Rd Suite 300
    Skokie, IL 60077
    +1 (847) 983-3672
  • Sales & Support
    info@conductscience.com
    Mon – Fri, 9 AM – 5 PM EST