Microwave radar sensor Human identification sensor principle

I. Introduction

With the continuous development of science and technology, human body recognition technology has become an important pillar of security systems, medical health, smart home, sports technology and other fields. Among them, microwave radar sensor has gradually occupied a dominant position in the field of human body recognition with its advantages of non-contact, high precision and real-time monitoring. This paper will deeply discuss the working principle of microwave radar sensor and its application in the field of human body recognition.

Second, the working principle of microwave radar sensor

Microwave radar sensor mainly uses microwave pulse signal to detect the target. Its basic working principle is to emit electromagnetic waves and receive the signals reflected back, and determine the distance, speed and direction of the target object by analyzing the characteristics of the frequency, phase and amplitude of these signals.

The transmitting and receiving mode of microwave radar sensor

Microwave radar sensor mainly uses pulse modulation mode to transmit, that is, the electric energy input from DC power source is converted into microwave energy, and radiated outward through the antenna. When the microwave encounters the target object, some of the energy is reflected back and picked up by the radar receiver.

Signal processing method of microwave radar sensor

After the received signal is amplified, filtered, and mixed, it enters the signal processor for analysis. By comparing the difference between the transmitted signal and the received signal, information such as the distance, speed and direction of the target object can be determined.

Third, the principle of human body recognition technology

Human body recognition technology mainly uses biometric recognition method to confirm the identity of the target individual. Common biometric features include fingerprints, irises, faces, etc. Among them, face recognition technology has become one of the most commonly used biometric recognition technology because of its natural, non-contact and easy to accept characteristics.

The principle of face recognition technology

Face recognition technology mainly analyzes the features of face images for identity confirmation. The basic process includes three steps: face detection, feature extraction and feature comparison. First, the face detection algorithm will find the face region in the input image; Secondly, the feature extraction algorithm will extract the features of the detected face region. Finally, the feature comparison algorithm will compare the extracted features with known face features to determine the identity of the target individual.

Application of microwave radar sensor in human body recognition

Microwave radar sensor has a wide application prospect in the field of human body recognition because of its advantages of non-contact, high precision and real-time monitoring. For example, in the field of smart home, microwave radar sensors can be used to achieve intelligent security and automatic control; In the field of medical health, microwave radar sensors can be used to realize real-time monitoring of patient status and telemedicine. In the field of sports science and technology, the microwave radar sensor can be used to realize the real-time monitoring of athletes' sports status and the evaluation of training effects.

Iv. Conclusion

In this paper, the principle of microwave radar sensor and its application in the field of human body recognition are introduced in detail. With the continuous development of science and technology, human body recognition technology will be widely used in more fields, and microwave radar sensor with its unique advantages will play an important role in it. In the future, with the continuous development of artificial intelligence and Internet of Things technology, human body recognition technology will be widely used in more fields, and microwave radar sensors, as one of the key technologies, will be more in-depth research and application.