Introduction to Blurring Removal and License Plate Recognition
In many crime scenes, surveillance cameras cannot capture suitable images of criminals. The recorded images are blurred, low-quality, and unrecognizable, making it impossible to identify the criminals and leaving the case unresolved. Clearing up or clarifying the blurred images and recognizing the license plate number of a vehicle from photos or videos taken by surveillance cameras, both during the day and at night, are among the solutions that can solve this problem. That’s the job of nahannama, Blurring Removal and License Plate Recognition
Reasons for Image Distortion in Surveillance Cameras for License Plate Recognition
There are various reasons for image distortion in surveillance cameras during both day and night. Some common reasons for the low quality and unreadability of license plates are:
- Low quality of the surveillance camera
- Long distance between the subject and the surveillance camera
- High speed of the vehicle
- Reflection of light on the license plate at night
- And so on…
Of course, users may imagine all of these image distortions as blurring of the license plate, which is not always the case. In addition to the reasons mentioned above, the images captured by surveillance cameras during the day and night may suffer from a variety of other quality issues and may not be recognizable. However, by using image processing capabilities to clarify, Blurring Removal and License Plate Recognition number from photos or videos, the images can be processed and improved in quality.
Centers for Removing Blurriness and Identifying License Plates from Videos or Photos
An important question that individuals face when dealing with low-quality images is who can perform the operations of removing blurriness, enhancing clarity, and identifying unreadable license plates from CCTV footage, either in the day or at night. Generally, there are two groups that can perform this task, namely:
- Digital police evidence experts
- Image processing experts in the private sector
⚡The digital police evidence department is the main center for examining blurry and low-quality images to clarify and identify license plate numbers. Digital evidence examination centers in the police and cyber police are active and can handle incoming cases. The necessary step for the police to investigate such cases is to create a file to clarify the license plate number captured by the CCTV camera.
Considering the extensive responsibilities of the digital evidence department (including recovering data from Android and iPhone mobile devices, hard drives, and more), and the high volume of cases being investigated by the police, individuals usually prefer to outsource the operations of reading, enhancing clarity, or identifying license plates from CCTV footage to the private sector to speed up the case investigation process.
With the expansion of experts in the field of image processing, numerous software and programs have been designed for clarity enhancement, transparency, blurriness removal, and license plate identification, and many teams have started working on this topic in a specialized manner. The “NahanNama” collection, as one of the first specialized collections in the field of blurriness removal and license plate identification, began its work in 2016. This collection, consisting of artificial intelligence and image processing experts, has been working on numerous case studies for various organizations during this time and has designed the first blurriness removal and license plate identification software for Iranian computers, Android, and iPhone.
The blurriness in CCTV footage can have various forms as mentioned above, and the NahanNama program has attempted to provide a solution for repairing every type of this blurriness and reading license plates from CCTV footage.
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Blurriness Removal from CCTV Footage at Night
One of the main image distortions that users face in many cases is the image distortion caused by the reflection of light from the car’s license plate, which mostly occurs in CCTV footage recorded at night.
The reason for this type of distortion is the reflection of infrared light from the surface of the car’s license plate. Below is an example of this type of distortion.
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Blurriness Removal Caused by Car Movement Using the NahanNama License Plate Recognition Software
The distortion in these images is due to the reflection of infrared rays and car movement, which makes the images blurry and the license plate unreadable. Below, you can see the process of blurriness removal and license plate recognition using the NahanNama software on this image.
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Blurring Faces using NahanNama Software
In many cases, the goal of fraudsters is to identify individuals’ faces in CCTV cameras. Due to the complexity and high diversity of facial features, restoring them is more difficult than restoring a license plate. The NahanNama Software Suite can improve image quality to some extent for blurring images, but identifying faces is the responsibility of users or the police.
The best software for zooming in on license plates from CCTV footage
After identifying the factors that cause a decrease in image quality, it is necessary to examine the methods for restoring information and some software for removing blur and recognizing license plates in CCTV cameras for Android, iPhone, and computers. Image distortions have various types and removing each one requires specific software and knowledge.
Usually, the process of removing blur in images and recognizing car license plates includes the following steps:
Generally, the image blurring and license plate recognition operation includes the following steps:
- Pre-processing of CCTV images
- Removing image blur
- Recognition of license plates
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Image preprocessing for removing blur and recognizing car plates
Preprocessing is for initial improvement of image quality and preparing it for applying complex algorithms for clarifying and removing blur from car plates on Android, iPhone, and computers. This operation is performed with image editing software or some special software to make the images suitable for processing with the blur removal software.
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Removing image blur
The second part of the operation is image clarification and removing blur. This is done by specialized software and various algorithms that are different for different types of blur in images. Some of the blur removal software are “NahanNama” for removing blur and recognizing car plate numbers, Amped FIVE, SmartDeblur Pro, and Focus Magic.
⚡If you are looking to remove blurring and license plate detection from your CCTV footage with Android, iOS and computer software, here are 10 related software. It should be noted that working with any software requires its own knowledge and skills.
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License plate recognition
License plate recognition is the last part of the blurring operation and car license plate recognition. In this section, the images on which the license plate reading has been done should be matched with the database information to determine what number or letter each part of the image was. The operation of clarifying the license plate requires experience and full understanding of the effect of blur removal algorithms on images.
Communication with NahanNama system
In addition to the mentioned cases, several reasons can cause the quality of images to decrease or blur in CCTV cameras. Solving these problems and increasing the transparency of images requires specialized skills in image processing algorithms and software. The NahanNama group consisting of experts in artificial intelligence and image processing and with 6 years of experience in this field can help you to improve the quality of images and provide blur removal services from CCTV cameras..
- You can send your file to Nahanma system through the button below.
- Review the case
