Vehicle license plate recognition technology has grown in popularity in recent years due to its ability to recognize license plates fast and correctly. Law enforcement organizations utilize this technology to follow criminals, parking enforcement to issue citations, and toll booths to collect payments. To recognize characters on license plates, the technique combines Optical Character Recognition (OCR) software with AI.
Cortex Security engineers' primary task is to stay current on the latest discoveries and technologies, adding any innovation to the line of premium AI solutions on a continuous basis. Recently, we added OCR which is a technology that has been used to turn text images into editable and searchable text. OCR software recognizes characters by studying the patterns of pixels in an image and recognizing their shape and position in the image. The characters are subsequently converted into machine-readable text by the software.
OCR software is used in license plate recognition technology to identify the characters on a license plate and add them to a database. The NVR works by utilizing a camera to capture an image of a license plate and digitizing the characters. The camera can be installed on a building, fixed pole, a mobile device, or a moving vehicle. After that, the image is transferred to OCR tech inside the cameras, which analyzes it and detects the characters on the license plate. The plates can be on cars, trucks, buses or motorcycles. In addition, the AI algorithm finds and identifies automobiles to be associated with the number plates and characters identified.
To improve the accuracy of license plate recognition, OCR software with AI employs complex algorithms. Characters may be recognized by these algorithms even if they are partially veiled, damaged, or unclean. They can also recognize characters in a variety of typefaces and styles, making it easier to distinguish between license plates from different states or even countries.
Artificial intelligence is used to train OCR software to recognize license plates. To learn how to identify characters, the software is fed hundreds of photos of license plates. To analyze the photos and discover patterns in the characters, AI algorithms are applied. Following that, the software is trained to recognize these patterns and use them to identify characters in new images. Only then can Cortex Security apply the QC6 Quality control process for field testing.
The technology of license plate recognition is being employed in a range of applications. The technology is used by law enforcement authorities to follow criminals and identify stolen vehicles across county lines. The technology is used by parking enforcement to issue tickets to drivers that violate parking laws. Toll booths use technology to collect fees from toll road users and automatically generate billing. Another benefit of license plate recognition technology is its ability to process photos rapidly and precisely. Because the technology can analyze images in real time, it can quickly identify license plates as vehicles pass by. This allows for real-time tracking and identification of vehicles, even when they are moving.
Another benefit of license plate recognition technology is the ability to collect data on vehicle movements. The technology allows for the tracking of vehicle movements over time, which can be valuable for traffic studies, urban planning, and other applications. The information gathered by license plate recognition technology can potentially be utilized to improve transportation infrastructure and minimize traffic congestion.
To sum up, LPR license plate recognition technology is a strong tool that employs AI and OCR technology to swiftly and precisely detect license plates. The technology can be used for a variety of purposes, including entry tracking, on-site vehicle management,toll collecting, parking enforcement, and law enforcement. As the usage of license plate recognition technology spreads, it will be more useful for commercial property manager. For Cortex Security engineers, staying current with new developments and innovations is their main responsibility.