Introduction
In recent decades, the use of CCTV cameras as one of the most important tools for maintaining security and monitoring public and private environments has increased. However, one of the existing problems for CCTV cameras is image blurriness in low-light environments. Image blurriness can significantly affect the final image quality and camera performance. In this article, we will discuss the most important service of the super resolution, which is Eliminating Blurriness and License Plate Recognition.
To address this issue, the use of advanced technologies for license plate detection in blurry CCTV camera images can be very useful. Using algorithms and advanced networks, license plate detection technology can identify and accurately extract license plates in high-blurriness images. It is also capable of recognizing faces in dark and poorly lit areas.
By eliminating image blurriness in CCTV cameras and utilizing license plate detection technology, the performance of surveillance and security units will significantly improve, leading to broader applications in various industries.
In many crime scenes, CCTV cameras are unable to capture proper images of criminals. The recorded blurry images are of low quality and indistinguishable, making it impossible to identify the criminals and leaving the case unsolved. Clearing or sharpening, Eliminating Blurriness and License Plate Recognition from CCTV camera photos or videos, both during the day and at night, are solutions that can solve this problem.
The blurriness removal in CCTV cameras for readable license plates means eliminating the problem of blurriness and lack of clarity in CCTV camera images.
Causes of Image Deterioration in CCTV Cameras
There are various reasons for the deterioration of CCTV camera images during the day and night. Some common causes of low image quality and unreadable license plates include:
- Low-quality CCTV cameras
- Large distance between the subject and the CCTV camera
- High speed of the vehicle
- Light reflection on the license plate at night And so on…
However, users might mistakenly associate all these image defects with the blurriness of the license plate, which is not always the case. In addition to the aforementioned reasons, CCTV camera images can have low-quality degradation and become unrecognizable due to various other reasons during the day and night. Nevertheless, by utilizing image processing capabilities, clearing, blurriness removal, and license plate detection from photos or videos, it is possible to process the images and improve their quality.
Steps to Remove Blurriness and Identify License Plates
First, it should be noted that if you have a blurry image or license plate that needs image enhancement, you can visit the super resolution and request a case review. If you haven’t encountered this problem yet, you can read and follow some of the suggested actions for removing blurriness and identifying license plates from CCTV cameras below:
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Lens cleaning for removing blurriness and identifying license plates:
If the camera lens is dirty, blurriness may occur. In this case, clean the lens with a soft and clean cloth.
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Opening the shutter:
In some cameras, the shutter is closed when not in use and in low-light conditions. In this case, open the shutter to allow more light to enter the camera.
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Aperture settings:
If you are using a camera with an adjustable aperture, you can change it to reach the appropriate amount of light.
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Image quality settings:
In some cameras, you can change the image quality settings to have a qualified image.
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Using a flash or additional light sources:
If the camera is in a dark environment, you can use a flash or additional light sources such as LED lights to make the image brighter.
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Checking cables and connections:
Make sure that the camera cables and connections are properly connected and that there are no issues.
If after performing these actions, there is still blurriness in the CCTV camera image, you may need to consult a professional technician, which will be discussed below.
Centers for Removing Blurriness and Identifying License Plates from Videos or Photos
An important question that people face when dealing with low-quality images is who can perform the operations of debluring, enhancement, and identifying unreadable license plates from CCTV cameras at night or during the day. In general, two groups can perform this task:
- police
- Some companies in the field of Image Processing
The digital police department is the main center for examining blurry and low-quality images to make them clear and find the vehicle license plate numbers. Digital evidence examination centers in the police are active in handling received cases. The necessary process by the police to handle such cases is to create a file to clarify the license plate number in the CCTV camera.
Considering the extensive duties of the digital evidence department (including recovering data from Android and iPhone mobile phones, hard drives, etc.) and the high volume of cases being investigated by the police, individuals often prefer to assign the reading, enhancement, or license plate identification operations from CCTV camera videos to the private sector to speed up case processing.
With the growth of experts in image processing, numerous software and programs have been designed for enhancement, clarification, removal of blurriness, and license plate identification. Multiple teams have started working on this topic specializing in this field. The ” super resolution ” group, as one of the first specialized groups in removing blurriness and identifying license plates, started its work in 2016. This group, consisting of AI and image processing experts, has been working on various case studies for multiple organizations and has designed the first Iranian software for removing blurriness and license plate identification for computers, Android.
Method for removing blurriness in CCTV
As mentioned above, image defects in surveillance cameras have various forms. The super resolution has attempted to provide solutions for repairing all types of these defects and reading license plates in surveillance cameras.
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Eliminating blurriness in images and videos captured by CCTV cameras at night
One of the main image defects that users face in many cases is the blurriness caused by the reflection of light on license plates. This often occurs in videos recorded by CCTV cameras at night.
🚨The reason for this type of defect is the reflected infrared light from the surface of the license plate. Below is an example of this type of defect.
To eliminate blurriness in images and videos captured by CCTV cameras at night, you can use the following methods and techniques:
Use high-quality cameras: The higher the quality of the surveillance camera, the less blurriness there will be in night images. Therefore, it is recommended to use cameras with high night vision capabilities and suitable brightness for night use.
Use artificial light sources: A simple solution to eliminate blurriness in night images is to use artificial light sources, such as infrared lights. These lights are placed in front of the camera and illuminate the image at night.
Camera settings: Many surveillance cameras have various settings to improve image quality at night. For example, adjusting light intensity, white balance, and sensitivity to light can significantly improve blurriness in night images.
🔍By implementing these methods and techniques, you can improve blurriness in images and videos captured by surveillance cameras at night and enhance the image quality. you can also go here to study Facial Composite From CCTV images.
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Eliminating Blurriness caused by car movement through the Plate Recognition software
The blurriness in these images is caused by the reflection of infrared rays and the movement of the vehicle, resulting in blurry images and unreadable license plates. Below, you can see the operation of Eliminating Blurriness and License Plate Recognition using super resolution software on these images.
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Removing blurriness in faces through software
In many cases, the goal of criminals is to identify individuals’ faces in surveillance cameras. Due to the complexity and high variability of facial features, facial recognition is more difficult compared to license plate recognition. The super resolution can improve image quality to some extent by removing blurriness using available software, but the face recognition responsibility of the users or the police.