Target detection: Using radar's electromagnetic wave detection technology, it can accurately detect the distance, speed, and angle of the target object, and can work under various weather and lighting conditions to effectively perceive long-distance targets. At the same time, through the camera's visual imaging function, it can capture the image information of the target and obtain the details such as the shape and color of the target. The combination of the two can achieve all-round detection of the target.

Target detection: Using radar's electromagnetic wave detection technology, it can accurately detect the distance, speed, and angle of the target object, and can work under various weather and lighting conditions to effectively perceive long-distance targets. At the same time, through the camera's visual imaging function, it can capture the image information of the target and obtain the details such as the shape and color of the target. The combination of the two can achieve all-round detection of the target.

Data fusion: Deep fusion of radar and vision sensor data, through fusion algorithms, data from different sources are processed and analyzed to form more accurate and complete target information, eliminating the limitations and uncertainties of a single sensor, and improving the perception of complex scenes.

Tracking and monitoring: Continuously track the target, update the position, speed and other status information of the target in real time, and maintain stable monitoring during the movement of the target, providing a basis for subsequent decision-making and control. It can be used in various application scenarios such as traffic flow monitoring and security early warning.

High-precision detection: Combining the advantages of radar and vision sensors, it can achieve high-precision detection of multi-dimensional information such as distance, speed, angle, and shape of the target, and can accurately obtain the target position and motion state. For example, in intelligent transportation, the positioning accuracy of vehicles can reach centimeter level.

Strong environmental adaptability: Radar is not affected by factors such as light, weather, etc., and can operate normally in harsh conditions such as darkness, rain, and fog. The vision sensor can provide rich image details in a good environment, and the combination of the two makes the Leivision all-in-one machine work stably in various environments to ensure detection performance.

Multi-target recognition and tracking: It has powerful multi-target processing capabilities, allowing it to identify, classify, and track multiple targets simultaneously. It can clearly distinguish between different targets such as vehicles, pedestrians, and non-motorized vehicles, and monitor their trajectories in real time. It has obvious advantages in complex traffic scenes or security scenarios.

Efficient data fusion: Through advanced data fusion algorithms, radar and visual data are deeply integrated to process and analyze data quickly and accurately, generating more comprehensive and accurate target information, reducing data redundancy and misjudgments, and improving decision-making efficiency. Cost-effective: By integrating two sensors into one, compared to deploying radar and vision equipment separately, it reduces hardware costs, installation space, and maintenance workload, providing higher cost-effectiveness and saving users a lot of resources.

Multi-functional integration: It can simultaneously realize multiple functions such as traffic flow monitoring, illegal capture, and security monitoring, providing comprehensive solutions for intelligent transportation, security, and other fields to meet the diverse needs of different application scenarios.

Radar working principle: The radar in the Ray Vision integrated machine emits electromagnetic waves. When the electromagnetic waves encounter the target object, they will be reflected back, and the radar receives the reflected waves. By measuring the time difference between the transmitted wave and the reflected wave, the distance between the target object and the radar is calculated according to the principle of constant speed of light. Using the Doppler effect, the speed of the target is measured according to the characteristic that the frequency of the reflected wave changes when the target object moves relative to the radar. In addition, through the directivity of the antenna and beam scanning technology, the angle of the target object is determined, so as to obtain the position information of the target in space.

Visual working principle: The camera in the Raytheon all-in-one machine is responsible for capturing the image of the target scene. The light is focused on the image sensor through the lens, and the light signal is converted into an electrical signal or a digital signal to generate a two-dimensional image of the target object. The image recognition algorithm is used to extract and analyze the features of the target object in the image, and compare it with the predefined target model or feature library to identify the type, shape, color and other characteristics of the target. Through the analysis of successive multi-frame images, the position change of the target object in the image is calculated, and then the motion trajectory and direction of the target are obtained.

Principles of data fusion: In the data layer fusion, the original data sources of radar and vision are directly combined; in the feature layer fusion, the features of radar and vision data are first extracted, and then these features are fused; in the decision-making layer fusion, radar and vision are processed and decided respectively, and then these decision results are fused. Finally, the advantages of radar and vision are integrated to output more accurate and comprehensive target information, providing a reliable basis for subsequent applications and decisions.

Development status: The market demand is strong and the technology continues to advance. The deep integration of radar and vision technology and the application of AI algorithms are realized, which can more accurately detect, identify and track targets. The competition of enterprises is fierce: there are many market participants.

Future trends: In terms of technology, detection accuracy and reliability are further improved, multi-modal integration is more in-depth, edge computing capabilities are enhanced, and more intelligent local decision-making can be realized at the device end. In terms of applications, from smart transportation, security monitoring and other fields to smart city intelligent environmental protection, intelligent energy management and other fields are fully penetrated, and applications in emerging fields such as intelligent logistics and industrial Internet will also continue to expand. The market scale continues to expand under the impetus of policies and demand. Raytheon all-in-one products are expected to expand the international market and participate in global construction by virtue of technology and product competitiveness.