What are the technical problems of panoramic camera in the development of intelligence?

Splicing accuracy and speed : Panorama video camera Generally, images are acquired by multiple lenses or fisheye lens, and then spliced to form a panoramic image. However, it is a challenge to accurately and quickly splice multiple images into a high-quality panorama under different lighting, scene dynamic changes and lens parameters. For example, in a scene with complex light, images taken by different lenses may have large differences in brightness, color, etc., resulting in obvious traces or unnatural transitions at the splice. Moreover, for real-time monitoring applications, image stitching needs to be completed in a short time, which requires high processing speed.

Image distortion correction : Fish eye lens and other special lenses will cause serious distortion of the image. Although it can be corrected by algorithms, it is still difficult to completely eliminate the distortion and restore the accurate object shape and proportion. Especially for images in edge areas, distortion correction is more difficult, which may affect subsequent intelligent analysis and object recognition five 。

Target recognition and tracking in complex scenes : In the panoramic monitoring scene, the scene range is wide and the amount of information is huge. At the same time, there may be a lot of interference factors, such as crowd density, object occlusion, light changes, etc., which makes it difficult to accurately identify and track targets. For example, in crowded shopping malls or stations, it is difficult for panoramic cameras to accurately distinguish different individuals and track them continuously, which is prone to miscalculation or missing.

Accuracy of behavior analysis : The intelligent panoramic camera needs to analyze and understand the behaviors of people and vehicles in the monitoring scene, but different behavior patterns have diversity and complexity, so it is not easy to train algorithms that can accurately identify various behaviors. For example, for the judgment of some abnormal behaviors, such as fighting and theft, it is necessary to comprehensively consider multiple factors such as the action, posture, moving track of objects, and so on. The accuracy of current algorithms in complex scenes still needs to be improved.

Simultaneous analysis of multiple objectives : There are often multiple targets in the scene monitored by the panoramic camera, which requires simultaneous analysis and processing of multiple targets, which puts forward high requirements for parallel processing capability and computing resources of the algorithm. If the efficiency of the algorithm is not high, it may cause the system to respond slowly and cannot analyze and warn the behavior of multiple targets in time.

High bandwidth requirements : With the continuous improvement of panoramic camera resolution and the increase of intelligent analysis function, the amount of data generated grows exponentially, which puts forward higher requirements for data transmission bandwidth. For example, high-definition panoramic video data needs a large bandwidth to be transmitted to the monitoring center or cloud for processing and storage in real time. If the bandwidth is insufficient, video jam, delay and other problems may occur, affecting the monitoring effect.

Storage pressure A large amount of panoramic video data needs to be stored, which challenges the capacity and performance of storage devices. Traditional storage methods may not meet the long-term, high-capacity storage requirements of panoramic cameras, and more efficient storage technologies, such as distributed storage, cloud storage, etc., need to be adopted, but this also brings new problems in data management and security.

Requirements for high-performance processors : The intelligent panoramic camera needs to carry out a lot of image processing and algorithm operations, which requires it to be equipped with high-performance processors. However, high performance processors often generate high heat and power consumption, which puts forward higher requirements for the cooling design and power supply of cameras. Especially in some outdoor or special environments, how to ensure the stable operation of the camera while reducing power consumption is a technical problem to be solved.

Sensor performance improvement Image sensor is one of the core components of panoramic camera. Its performance directly affects the image quality and the accuracy of intelligent analysis. The current image sensors need to be further improved in low illumination, high dynamic range and other aspects to meet the application requirements of panoramic cameras in various complex environments.

Integration with other security systems : The panoramic camera needs to be integrated with other security equipment and systems, such as access control system, alarm system, monitoring platform, etc., to achieve information sharing and collaborative work. However, there are problems such as interface inconsistency and protocol incompatibility between equipment and systems from different manufacturers, which makes integration difficult and requires a lot of time and effort for debugging and adaptation.

Software platform compatibility : The intelligent function of the panoramic camera needs to rely on the corresponding software platform for management and control, but different software platforms may have differences in functions, operation interfaces, data formats, etc., which brings inconvenience to the use and management of users, and also affects the promotion and application of the panoramic camera.