Neuvition LiDAR and AI Vision Algorithm: The Next Generation Foreign Object Intrusion Detection Solution

In the process of modern industrialization and urbanization, there is an increasingly urgent need for foreign object intrusion detection. For example, in the field of rail transit, foreign object intrusion detection can effectively prevent dangerous goods, foreign objects, and other items from entering the track section to ensure safe train operation. In the field of urban roads, foreign object intrusion detection can prevent non-motorized vehicles and pedestrians from occupying motor vehicle lanes to ensure smooth traffic flow.

However, traditional foreign object intrusion detection technology has some problems. For example, commonly used camera monitoring technology is prone to misjudgment under poor lighting conditions or when target objects are too small, resulting in inaccurate detection results. While LiDAR technology has high precision and robustness advantages, it cannot achieve precise identification and tracking of target objects.

To solve these problems, Neuvition LiDAR combines with AI vision technology, to collect real-time data of the measured object and perform real-time processing, analysis, and storage of the source video image by using visual sensors. In the target detection process, feature extraction, position detection, and object classification are achieved through deep neural network algorithms to effectively improve recognition accuracy and precision. In the object segmentation process, pixel-level classification is achieved by using deep neural network algorithms to more accurately identify the contour and shape of target objects and prevent misjudgment.

In the predictive compensation process, Neuvition LiDAR uses the Kalman filtering algorithm to track and compensate for the real-time position of objects, to more accurately track their motion trajectory and improve detection accuracy and stability. In the data fusion processing process, results from measuring objects are transmitted through internal interfaces for data fusion processing that adds visual features to three-dimensional data collected by LiDAR, to enhance the overall performance of data as well as its application value.

In addition to the above processes, Neuvition LiDAR and its AI vision algorithm services also support various methods such as image recognition, video stream recognition, point cloud recognition, text recognition, etc., which can flexibly meet users’ needs. In terms of applications, this technology can be widely used in fields such as rail transit, urban roads, industrial production, etc., providing people with more efficient, safe, and intelligent solutions.

Neuvition LiDAR innovative application solutions combined with AI vision technology not only achieve object detection and tracking but also include object segmentation. It can identify and classify objects based on pixel-level attributes. This means that the LiDAR system can accurately distinguish different types of objects including trains, cars, pedestrians, and objects larger than 25*25cm, which is very important for intrusion detection applications.

In addition, the system uses the Kalman filtering algorithm to track and compensate for the real-time position of detected objects, further improving the accuracy and reliability of the results. All these features are seamlessly integrated into the Neuvition LiDAR system, allowing users to benefit from a comprehensive solution that combines LiDAR and AI vision technology advantages.

Data fusion is another key aspect of the Neuvition LiDAR system. By combining features extracted from AI vision algorithms with three-dimensional data collected by LiDAR sensors, the system can provide more comprehensive and detailed environmental monitoring results. This is crucial when using LiDAR for navigation and mapping as well as precise detection and tracking of objects in safety-oriented applications.

Neuvition LiDAR system also supports a wide range of recognition capabilities including image recognition, video stream recognition, point cloud recognition, and text recognition. This allows the system to adapt to different use cases and scenarios, to provide users with greater flexibility and diversity in their operations.

In summary, Neuvition LiDAR and AI vision technology provide a powerful solution for various applications including intrusion detection, navigation, and safety-oriented systems. By combining the advantages of LiDAR perception with advanced AI algorithms, the system can provide real-time, accurate, reliable, and comprehensive environmental monitoring and analysis. Whether you want to improve security, enhance navigation capabilities, or optimize operations, Neuvition LiDAR and AI vision technology offer an advanced solution that can meet your needs.