Automatic Vehicle detection with number plate using machine learning
Leveraging the automatic vehicle and number plate recognition system, traffic management personnel can track the number of vehicles in terms of security. It harnesses computer vision technology to identify license number plates on vehicles in video streams from existing security cameras. It leverages deep learning algorithms to administer rapid and completely automated number plate detection in real time. In transportation, these systems have many purposes employing on a large scale across industries. Traffic authorities, parking personnel, and tollway authorities find it most effective.
Relevant Features of Automated vehicle and number plate detection systems
It performs various object and character recognition creating different algorithms to capture data from fast-moving vehicles.
Real-time vehicle detection
Vehicle detection stands on the firm technique of deep learning. It can recognize vehicles and vehicle genres in images of video data. Object detection algorithms (YOLOv3/ YOLOv7) harness neural networks that can be trained on a dataset of images.
Image processing
The process involves computer vision methods and the images are processed by OCR algorithm. These are applicable in real-world environments with differing occlusion, weather, illumination and so forth.
Optical character recognition(OCR)
OCR is considered a relevant computer vision system for transforming images into text. It enables the automatic number plate recognition system to identify license plates. The image processing techniques use algorithms to detect individual characters and convert them to text.
Template matching
Matching templates is one of the primary techniques to compare an image of a license plate against a library of images of vehicle license plates. It finds a match with AI pattern recognition and renders results accordingly.
How does it work?
Moving vehicle number plate recognition
Primarily, it detects the vehicle and then captures and enhances the image of the vehicle number plates utilizing a series of image manipulation techniques.
Number plate character identification
OCR extracts data relating to the alphanumerics of the vehicle number plates.
Character translation into encoded content
Last but not least, the software verifies the sequence of the alphanumeric characters and converts them into text formats effectively storing the database.
Popular use cases of Vehicle detection & number plate recognition
AI-based vehicle detection and number plate recognition are relevant for a wide range of applications. These applications are spread along different industry verticals where the identification, detection and localization of vehicles are relevant. Here's an overview of the major use cases of vehicle detection systems.
Smart parking management systems
Vehicle detection along with a number plate is an integrated solution for detecting individual vehicles. It is considered an effective car parking management. It enables parking areas to have automated parking management. Vehicles are accounted for by their license plate numbers. Parking area users can easily avoid the hassle of manually keeping track of available and occupied parking slots, tracking time spent and inaccurate ticket payments.
Smart traffic management
Automated vehicle detection along with Traffic management can be beneficial for smart traffic management. It can be used throughout the cities for detecting high-speed vehicles, rash driving cars and any accidents. It provides solutions for measuring as well as analyzing area-related traffic data of a specific area in a city. The technology offers proper insight into traffic congestion and sets forth better traffic planning.
Retail parks
There are times when retail parks face ample issues relating to unauthorized parking. Harnessing the technology enables retail parks to seamlessly deal with unauthorized vehicle parking. It triggers alerts and sends notifications to security personnel in case of any detection of unauthorized vehicles.