In Which Security Scenarios Are Low Distortion Lenses Most Widely Used?

Low distortion lenses provide realistic, high-quality images and are widely used in security applications, performing particularly well in scenarios requiring high-precision images and reduced image distortion.

The following are common application scenarios for low distortion lenses in the security and surveillance field:

1.Large public area surveillance

Low distortion lenses provide a wide field of view, covering a larger surveillance area and reducing blind spots. They are suitable for panoramic surveillance and are commonly used in large areas such as airports, plazas, and large parking lots. For example, some low distortion lenses have a field of view of up to 190°, allowing a single camera to monitor a much wider area.

2.Intelligent traffic monitoring

Low distortion lenses are also commonly used in intelligent transportation monitoring systems for identifying and recording vehicle information, lane monitoring, and traffic accident recording. In road surveillance, low distortion lenses can clearly capture vehicle details such as license plate numbers, vehicle color, and model. In high-speed traffic scenarios, they help cameras achieve clear, accurate, and distortion-free rapid image capture, improving the accuracy of vehicle information collection.

Furthermore, in panoramic surveillance at traffic intersections, low distortion lenses provide a wide and undistorted field of view. Their high-resolution capabilities support traffic flow analysis and violation detection, facilitating traffic management and accident handling by traffic police.

Low distortion lenses are commonly used in intelligent traffic monitoring

3.Industrial production safety monitoring

In industrial production environments, low distortion lenses can be used for monitoring production processes, detecting equipment operating status, and preventing safety accidents. Due to their high resolution, lack of distortion, and large depth of field, low distortion lenses are commonly used in industrial inspection and machine vision systems for precision measurement, defect detection, and image recognition. They provide more accurate and reliable image data, helping to improve industrial production quality and efficiency.

4.Facial recognition and intelligent analysis

Facial recognition requires ensuring that the geometric structure of the image remains undistorted, and lens distortion typically needs to be controlled to less than 1%.

Low distortion lenses provide clear, undistorted images, ensuring accurate positioning of facial feature points and preventing shifts in feature point location due to distortion, thereby improving recognition accuracy. This is suitable for applications such as access control systems, attendance systems, and other scenarios requiring facial recognition, intelligent analysis, and human detection.

In addition, low distortion lenses have wide applications in areas such as barcode scanning, 3D sensing, logistics sorting, and robot navigation.

Low distortion lenses are commonly used in applications such as industrial production monitoring and facial recognition

5.Aviation and drone security monitoring

In the aerospace and drone applications, low distortion lenses ensure the accuracy of aerial images, providing precise topographic information and image data for subsequent image analysis and processing. They have important applications in flight navigation, remote sensing mapping, target recognition, and aerial surveillance, and are suitable for monitoring tasks such as border patrol and large-scale events.

6.Monitoring under extreme weather conditions

Under extreme weather conditions, especially in adverse weather such as rain, snow, and fog, low distortion lenses also perform significantly well. By combining fog penetration technology, infrared illumination technology, and multi-sensor fusion technology, low distortion lenses can maintain effective monitoring capabilities under extreme weather conditions.

In summary, low distortion lenses, due to their characteristics such as low distortion, high resolution, high contrast, and color reproduction capabilities, are widely used in security scenarios such as large-scale scene monitoring, intelligent traffic monitoring, industrial production safety monitoring, facial recognition, and drone monitoring.