ConductVision Enterprise

License Plate Recognition

ConductVision finds the plate on each vehicle at a gate, lot or lane and reads its characters into a timed log for parking, access and fleet teams.

A bus pulls through a town junction past waiting cars; boxes mark the bus, four cars and three license plates.8 detections
Bus lane at a town junction
  • Car4
  • Bus1
  • Plate3

ConductVision detections on this photo. Photo: Arriva436, CC BY 3.0, cropped.

License Plate Recognition (LPR) detects, localizes, and reads license plates from vehicles in motion or parked. The system supports a wide range of national plate formats, reads vehicles in motion, and is designed to operate in rain, snow, direct sunlight, and darkness with IR illumination. Watchlist matching can trigger real-time alerts, while bulk reads feed into access control, tolling, and fleet management systems. The dual-stage architecture (plate detection followed by character recognition) is designed to read partially obscured or damaged plates.

Outcomes

What your team gets

Overstays in short-stay bays

Loading bays, drop-off lanes and short-stay spaces fill with vehicles that stay too long.

Delivery drivers circle or double-park while one car holds the bay.

How
In a pilot, ConductVision pairs each plate's arrival read with its departure read and times the stay.
You get
A list of overstays by bay and plate, with the arrival and departure stills.

A gate log without typing

Gate staff type plates into a visitor log by hand while the queue grows.

Typos break later searches, and the queue backs up onto the road.

How
In a pilot, ConductVision reads each plate as the vehicle stops at the barrier and keeps the plate crop beside the text.
You get
A gate log of plate, time and lane, with the crop each read came from.

Unread plates counted

Dirty, bent or missing plates give no read, and those vehicles drop out of the log.

A log with silent gaps looks more complete than it is.

How
In a pilot, ConductVision logs every vehicle it detects at the read point, with a still, even when no plate text can be read.
You get
A count of unread vehicles per lane and hour, with stills for manual entry.

Visits across every gate

Contractor and supplier vehicles use several gates and sites, each with its own log.

Nobody can say how often a vehicle came without merging logs by hand.

How
In a pilot, ConductVision writes the reads from every gate camera into one log keyed by plate.
You get
Visits per plate across all gates and sites, in one list.

What the model sees

Detections in two more settings

Cars queue along a residential road under a cloudy sky; boxes mark 14 cars and two license plates.
Queuing traffic on a town road
  • Car14
  • Plate2

ConductVision detections on this photo. Photo: Robin Stott, CC BY-SA 2.0, cropped.

Motorcycles and cars parked on a wet campus lot, seen from above; boxes mark ten motorcycles, three cars and two license plates.
Campus parking lot in the rain
  • Motorcycle10
  • Car3
  • Plate2

ConductVision detections on this photo. Photo: Dr. Chinchu C., CC BY-SA 4.0, cropped.

Endpoints

What a pilot measures

Each endpoint is defined before the pilot starts, with what is counted, its unit and how the results are broken down.

What a pilot measures
PrimaryFull read rateShare of vehicles detected at a read point whose plate ConductVision reads in full.Unit:%By:Lane, hour, light level
SecondaryStay lengthMinutes from a plate's arrival read to its departure read at the same site.Unit:minutes (median and longest)By:Site, vehicle type
Overstay countVehicles whose stay passes the limit set for their bay or lot, counted once per stay.Unit:overstays per dayBy:Bay, hour
Unread vehiclesVehicles detected at a read point with no readable plate, counted once per vehicle.Unit:vehicles per dayBy:Lane, hour

How we check the model

Each pilot measures ConductVision on your own footage against a sample checked by hand, before anyone relies on its numbers.

  • Read accuracy

    Share of full reads that match a reviewer's transcription of the plate crop, character for character.

    % · by lane, plate format

  • Missed vehicles

    Share of vehicles a reviewer counts in sampled footage that ConductVision did not detect at the read point.

    % · by lane, time of day

  • Arrival-departure match

    Share of arrival reads that ConductVision pairs with the right departure read, checked by a reviewer on sampled stays.

    % · by site

How it works

License Plate Recognition in three steps

  1. Connect

    Mount LPR Cameras

    Position cameras at entry/exit points, toll lanes, or along roadways. The platform accepts standard IP cameras with IR illumination or dedicated LPR cameras via RTSP and ONVIF.

  2. Analyze

    Detect and Read Plates

    A two-stage pipeline first localizes the plate region, then applies an OCR model trained on region-specific plate fonts and formats. Confidence scores are assigned to each character for downstream filtering.

  3. Act

    Match, Alert, and Log

    Each plate read is compared against configurable watchlists. Matches trigger alerts via webhook or SMS. All reads are logged with timestamp, camera ID, vehicle thumbnail, and confidence score.

What it detects

Classes the models report

  • Car

    Each car at a read point, with its lane and time

  • Truck and bus

    Larger vehicles at gates, docks and toll lanes, logged apart from cars

  • License plate

    Located on each vehicle and cropped for reading

  • Plate text

    The characters on each plate, with a confidence score for each one

  • Unread plate

    A vehicle with no readable plate, logged with its still

Features

What the system does

Multi-Region Plate Formats
Supports US (all 50 states), European, Middle Eastern, Asian, and Latin American plate formats. New regions can be added via configuration without retraining.
Day and Night Operation
Paired with IR illumination, the system reads plates in darkness. Automatic exposure correction handles direct headlight glare and backlit conditions.
High-Speed Capture
Designed to read plates on vehicles at highway speeds with global-shutter or high-frame-rate cameras. Suitable for tolling and enforcement support workflows.
Watchlist Matching
Maintain multiple watchlists (VIP, banned, expired registration) with matching on every read. Alert delivery via webhook, MQTT, or SMS.
Partial Plate Recovery
When plates are partially obscured by dirt, damage, or mounting hardware, the system uses contextual character prediction to maximize read completeness.
Vehicle-Plate Association
Links each plate read to the detected vehicle, capturing color, type, and direction of travel. Designed to flag suspected plate spoofing by cross-referencing vehicle characteristics.
Bulk Historical Search
Query millions of stored plate reads by plate number, date range, camera location, or vehicle attributes. Results return in under one second.

Use cases

Where teams put it to work

Gated Community Access Control

Residents expect gate entry without stopping. LPR can read plates on approach, match against the resident database, and open the gate automatically, logging every entry and exit.

real estatesmart city

Parking Revenue Management

Parking operators need accurate entry/exit timestamps for billing. LPR can eliminate ticket machines and barrier gates, enabling frictionless pay-by-plate systems.

smart cityretailreal estate

Fleet and Logistics Tracking

Logistics companies need to verify truck arrivals at distribution centers. LPR at loading docks can log arrival times, identify unauthorized vehicles, and integrate with fleet management software.

logisticsmanufacturing

Law Enforcement Support

Patrol vehicles equipped with mobile LPR cameras can scan plates continuously against stolen vehicle and warrant databases. Hits are flagged to officers in real time.

governmentlaw enforcement

Toll Collection

Open-road tolling systems require high-speed, high-accuracy plate reads at highway speeds. The system can capture plates without requiring vehicles to slow down or stop.

transportationgovernment

Campus Security

Universities and corporate campuses track vehicle access across multiple entry points. LPR can provide a unified log and flag unregistered vehicles attempting entry.

educationcorporate

Technical overview

Inputs, outputs and hardware

Accuracy and speed are measured on your footage and cameras during the pilot, and reported with the conditions they were measured under.

Models
Vehicle and plate detector (YOLO family) with a text-recognition stage for plate characters
Input formats
RTSP, ONVIF, MP4, JPEG snapshots, triggered capture via GPIO
Output formats
JSON, MQTT, Webhooks, CSV, UTMC-compatible
Hardware
NVIDIA Jetson, Intel NUC, any x86 with a CUDA-capable GPU

Pilot

Evaluate license plate recognition on your footage

A pilot takes one prioritized outcome, runs on your cameras, reports the endpoints above and ends with a results review and a decision.