Automatic Number Plate Recognition System
Our camera-based Automatic Number Plate Recognition (ANPR) system is built to make highway monitoring smarter, faster, and more efficient. Designed especially for highway and traffic management applications, it automatically detects and recognizes vehicle number plates in real time, even in high-speed traffic conditions.
Driven by AI-powered Computer Vision and Machine Learning, the system accurately reads number plates and performs vehicle classification with high precision. It captures clear, high-quality images of vehicles and number plates, along with date and time stamps, ensuring reliable and traceable data for tolling, surveillance, traffic enforcement, and analytics.
With its ability to work seamlessly in different lighting and weather conditions, this intelligent ANPR solution helps authorities improve traffic flow, enhance road safety, and make data-driven decisions for modern highway infrastructure.
Key Features
- Used for vehicle number plate detection & recognition which can be further utilized for various applications e.g., section speed detection, RADAR triggered for Spot Speed Detection, MSWIM integrated ANPR, etc.
- Capture number plate along with the vehicle image, real time detection and recognition (OCR) of number plates, recognition of two-line & non-standard number plates.
- Recognize vehicle class (Car/Bus/Truck/Bike), recognize Yellow/White number plate colour with light, hot-list vehicle alarms, etc.
- Easy to use auditing & reporting modules.
- Control room application integration for e-challan, ICCC, Vahaan, etc.
- Robust 24×7 operations, low maintenance.
Core Functional Modules
- Vehicle and plate detection: Detect moving vehicles in the video stream, localize the number plate region, and capture clear plate images.
- OCR and validation: Use ANPR/ALPR software to segment characters and convert the plate image into text, then validate format (e.g., Indian HSRP patterns) against rules or databases.
- Vehicle classification: Use deep-learning models (YOLO, CNN-based) to classify vehicle type (car, bus, truck, 2-wheeler, etc.) from the same video frames in real time.
Downloads
FAQs — ANPR Monitering
How does the ANPR system work on highways?
The ANPR system uses AI-powered cameras to automatically capture vehicle images and recognize number plates in real time. Advanced Computer Vision and Machine Learning algorithms process the data instantly, making it ideal for high-speed highway environments.
Can the ANPR system work in low light or bad weather conditions?
Yes. The system is designed to perform reliably in various lighting and weather conditions, including low light, rain, and fog. It captures high-quality images with accurate timestamps to ensure consistent performance and data accuracy.
What are the key applications of the ANPR system?
The ANPR system is widely used for highway toll management, traffic monitoring, law enforcement, vehicle classification, access control, and data analytics, helping authorities improve road safety and operational efficiency.
Other solutions
- Toll Management
- Smart Parking Management
- Inventory Management
- RFID Software System
- Plaza Center & Database Server
- Number Plate Detection
- Face Attendance System
- RFID Gate Automation
- ANPR & Vehicle Identification
- AI Damage Detection
- Vehicle Speed Monitoring
- Dock Space Visualization
- Real-Time Container Search
- Quality Inspection & Label Reading
- Pallet Classification & Counting
- Inventory Stack Height Monitoring
- Workstation Occupancy
- OCR-Based Document Data Extraction
- Forklift Operator & Activity Monitoring
- Safety Compliance Monitoring (PPE)
- Fire & Smoke Detection
- Operator Presence & Perimeter Monitoring
- RFID Race Timing System
Enquire about the ANPR Monitering
Tell us your lane count, read range or volume and we’ll quote the right configuration.