AI-Powered Automated Number Plate Recognition System (ANPR) to boost vehicle management
Advanced ANPR system designed to deliver real-time vehicle analysis. Trusted by industries for smart logistics management and surveillance.
- 98.7% Detection Accuracy
- <2 Sec Recognition Time
- 90% Less Manual Logging
- Works at Any Speed or Angle
What is Automated Number Plate Recognition System?
Imagine a large logistics company which has a daily traffic of trucks in the goods Inward entry gate. Manually keeping details of all these vehicles is a tedious task that can cause delays, errors, and security issues. Now, imagine we install a system that can automatically identify the vehicles, their type, their raw material, vehicle in and out time, driver authentication through a camera set video feeds.
This is what Automatic Number Plate Recognition System does for you. ANPS system is an advanced AI-powered security and detection system that captures vehicle license plates from images and video inputs in real time. By integrating computer vision, machine learning, and OCR (Optical Character Recognition), ANPR systems are capable of monitoring, logging, and analysing vehicle movements with remarkable precision.
The set camera captures license plates from the videos and images from different types of vehicles like trucks, buses, tempos, cars using technologies like YOLOv8, TensorFlow and OpenCV. The model is already set to capture various information from a number plate, like the type of vehicle, raw material in, state of transport etc.
Once the number plate is detected, the important task is to read the registration number as this includes complexities in the times of weather, camera angle, speed, movement, occlusion etc. Usually license plate is recognized with machine algorithms and computer visions, after detection, the plate is cropped and normalized for further information gathering.
Finally, once the information is retrieved, it is converted into text format and is stored and cross-verified with the database. If the information is matched with the database information, all the information of the vehicle, registered owner etc, can be found for integrating with other IT systems. If the unknown vehicle is newly registered at the entry gate, manual or advanced registration can be done through the dashboard.
Key features of iProgrammer Automatic Number Plate Recognition Software
Our systems integrate OCR systems like CRNN (Convolutional Recurrent Neural Networks) and YOLO-based object detection models to localize and identify license plates with pinpoint accuracy. The systems can read number plates at any vehicle speed irrespective of camera angle, bad weather conditions, use of custom number plates etc.
By making optimum use of GPU and real time screening protocols integrate multiple videos even in high traffic zones. The software uses OpenCV, TensorFlow and NVIDIA CUDA technologies to operate seamlessly and give an alert for the unidentified vehicle.
Whether its a school, toll booth or a stadium, our software integrates seamlessly across all infrastructure types. The system makes use of GCP, cloud deployment and Edge AI or real-time response and scalability for enterprise use.
We follow security standards with SSL encryption and anonymized plate tracking for compliance. You retain full control over how data is collected, stored, and accessed.
Our alert systems use push notifications on channels like email, whatsApp, API triggers, SMS for triggers like Vehicle type anomaly, time-based access alerts, missing plate alerts, new vehicle or registration not found.
Our ANPR integrates effortlessly with third-party systems such as SAP, Odoo, Microsoft Dynamics, or your in-house ERP to automate operations like vehicle check-in, billing, compliance, or gate control.
- Implementation with boom barriers and security cameras
- Realtime number plate detection irrespective of weather and vehicle speed
- 98.7% accuracy using YOLO and OpenCV
- Seamless integration with in-house ERP system
- Seamless alert system for unauthorized vehicles
ANPR That Works
Blurry Image
High Speed Detection
Night capture
Works at any camera setup angle
Multi-lingual capture
Multiple vehicle capture
Smart Cities
Manufacturing Sector
Residential Societies
Construction Industry
Finance and Banking Industry
Military and Research Facilities
