License Plate Recognition
License plate recognition (LPR), also called automatic license plate recognition (ALPR) or automatic number plate recognition (ANPR), is a computer vision technology that automatically reads vehicle license plates from camera video and converts them into searchable text.
License Plate Recognition
License plate recognition (LPR), also called automatic license plate recognition (ALPR) or automatic number plate recognition (ANPR), is a computer vision technology that automatically reads vehicle license plates from camera video and converts them into searchable text.
How It Works
An LPR pipeline combines object detection and optical character recognition:
- Plate detection. A neural network locates the plate region in each video frame.
- Character segmentation. The plate image is cropped and normalized for reading.
- Character recognition. A second model reads the alphanumeric string, often with region-specific models tuned for local plate formats and fonts.
- Post-processing. The system applies checksum validation, multi-frame voting, and matches the plate against watchlists or allowlists.
Accurate systems read plates on vehicles moving up to 200 km/h at multiple cameras per site.
Why It Matters
License plate recognition turns every camera covering a road, gate, or parking lot into a structured data feed:
- Access control — barrier opens automatically for registered vehicles.
- Security — stolen or wanted vehicles are flagged the moment they enter a monitored area.
- Operations — truck dwell time in logistics yards, parking occupancy, toll enforcement.
- Revenue — paid parking and congestion charging without manual enforcement.
- Smart city traffic — red-light enforcement, lane monitoring, toll roads
- Law enforcement — stolen vehicle alerts, BOLO lists, forensic search
- Parking management — ticketless entry, occupancy analytics, billing
- Logistics and ports — truck identification, dwell time, yard management
- Corporate campuses — employee and visitor vehicle access control
IncoreSoft's ALPR module supports plate formats from 100+ countries and integrates directly into Safe City deployments.
Use Cases
Frequently Asked Questions
How accurate is license plate recognition?
Top engines read 95–99%+ of plates in controlled conditions. Accuracy drops with dirty plates, oblique angles, high beams, and heavy rain or snow. Proper camera placement and lens choice matter more than the AI model.
Does ALPR work at night?
Yes, when cameras have IR illumination or the ALPR engine is paired with infrared-sensitive lenses. Most dedicated ALPR cameras ship with built-in IR and shutter settings optimized for moving plates.
Can ALPR integrate with existing access control barriers?
Yes. IncoreSoft's ALPR exposes REST and relay outputs, so a confirmed match can trigger a gate, barrier, or bollard controller with no operator involvement.
Read also
Liveness Detection
Liveness detection is the technology that determines whether a face presented to a camera belongs to a real, physically present person — rather than a photograph, video replay, 3D mask, or deepfake. It is the defense layer that makes face recognition trustworthy for access control and authentication.
Heat Map Analytics
Heat map analytics is a video analytics technique that visualizes pedestrian movement and dwell time as color-coded overlays on a floor plan or camera view. Warmer colors (red, orange) mark high-activity zones; cooler colors (blue) mark low-activity zones. It turns weeks of surveillance footage into a single actionable picture.
GDPR Video Surveillance
GDPR video surveillance refers to the deployment of CCTV and video analytics systems in ways that comply with the EU General Data Protection Regulation. Video footage of identifiable people is personal data; when biometric analytics such as face recognition are involved, it becomes special-category data with stricter requirements.
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