CN212276435U

CN212276435U - Human body posture recognition device based on wireless signals

Info

Publication number: CN212276435U
Application number: CN202020864355.6U
Authority: CN
Inventors: 苏瀚
Original assignee: Taizhou Ruilian Technology Co ltd
Current assignee: Taizhou Ruilian Technology Co ltd
Priority date: 2020-05-21
Filing date: 2020-05-21
Publication date: 2021-01-01
Anticipated expiration: 2030-05-21

Abstract

A human body posture recognition device based on wireless signals comprises a radio frequency hardware framework and an embedded hardware platform, wherein the radio frequency hardware framework comprises a wireless intelligent sensing network card, a peripheral and an interface, and a microwave and radio frequency module, the microwave and radio frequency module comprises a DSP main control chip, the embedded hardware platform comprises an MT7620 main control chip, a power supply module and a wireless transmission network card, the wireless intelligent sensing network card and the microwave radio frequency module are mainly used for detecting spatial wireless signals, and the wireless signals are transmitted to the embedded hardware platform MT7620 through the peripheral and the interface. The utility model discloses human gesture recognition device solves because the unable empty difficult problem of monitoring that causes of deployment of video system. In a public area, the system is fused with an existing video system to cover a monitoring blind area.

Description

Human body posture recognition device based on wireless signals

[ technical field ] A method for producing a semiconductor device

The utility model relates to an intelligent monitoring equipment field specifically is a human gesture recognition device based on wireless signal.

[ background of the invention ]

The video monitoring system is the most widely applied security and human body monitoring product in the current market, and is widely applied to the fields of urban public safety and the like. However, from the application scene, the video monitoring system still has a monitoring blind area and a monitoring forbidden area. On one hand, due to the deployment position angle, a large number of dead angles exist in practical application, and a video monitoring system cannot cover the dead angles. On the other hand, for private areas in our lives, such as bedrooms, guest rooms, apartments, restrooms, bathrooms, etc., video systems cannot be deployed due to privacy concerns. From the perspective of application requirements, an effective monitoring means capable of making up the blind area and the forbidden area of the video monitoring system is needed.

Therefore, the problem to be solved in the field is to provide a human body posture recognition device based on wireless signals.

[ Utility model ] content

In order to solve the problems, the utility model discloses a human body posture recognition device based on wireless signals can recognize a plurality of human body behaviors; the trajectory accuracy for judging the number of the personnel is relatively high; convenient for later consultation and responsibility confirmation.

In order to solve the problems, the utility model relates to a human body posture recognition device based on wireless signals, it is characterized in that the human body posture recognition device comprises a radio frequency hardware architecture and an embedded hardware platform, wherein the radio frequency hardware architecture comprises a wireless intelligent sensing network card, a peripheral and an interface, a microwave radio frequency module and a network data transmission module, wherein the microwave and radio frequency module comprises a DSP main control chip, the embedded hardware platform comprises an MT7620 main control chip, a power supply module and a wireless transmission network card, the wireless intelligent sensing network card and the microwave radio frequency module are mainly used for detecting space wireless signals, the wireless signal is transmitted to an embedded hardware platform MT7620 through peripherals and interfaces, and a network data transmission module comprises a route exchange module, a WIFI networking module, a security authentication module and the like and is used for transmitting data to a cloud server system.

Further, the radio frequency hardware architecture comprises a wireless intelligent sensing network card, a peripheral and an interface, a microwave module and a radio frequency module.

Further, the embedded hardware platform includes an MT7620 main control chip, a power supply module, and a wireless transmission network card.

Furthermore, the human body posture recognition device based on the wireless signals further comprises an embedded software algorithm implementation module which comprises a wireless signal sensing module, a filtering interference elimination module and a characteristic vector extraction module.

Furthermore, the network data transmission module comprises a route exchange module, a WIFI networking module and a safety authentication module, and the module is used for transmitting data to the cloud server system.

Further, the wireless transmission network card adopts an RTL8188eu wireless network card module, and the wireless network card can transmit required data to the cloud server.

Furthermore, the utility model relates to a human gesture recognition device based on radio signal solves the blank difficult problem of monitoring that causes because video system can't dispose. In a public area, the system is fused with an existing video system to cover a monitoring blind area.

[ description of the drawings ]

Fig. 1 is a schematic diagram of the structure of the human body posture recognition device based on wireless signals.

Fig. 2 is a schematic structural diagram of a software algorithm implementation module in the human body posture recognition device based on wireless signals.

[ detailed description ] embodiments

The directional terms of the present invention, such as "up", "down", "front", "back", "left", "right", "inner", "outer", "side", etc., are only directions in the drawings, and are only used for explaining and explaining the present invention, but not for limiting the scope of the present invention.

Referring to fig. 1, the utility model provides a human body posture recognition device based on wireless signals, it is characterized in that the human body posture recognition device comprises a radio frequency hardware architecture and an embedded hardware platform, wherein the radio frequency hardware architecture comprises a wireless intelligent sensing network card, a peripheral and an interface, a microwave radio frequency module and a network data transmission module, wherein the microwave and radio frequency module comprises a DSP main control chip, the embedded hardware platform comprises an MT7620 main control chip, a power supply module and a wireless transmission network card, the wireless intelligent sensing network card and the microwave radio frequency module are mainly used for detecting space wireless signals, the wireless signal is transmitted to an embedded hardware platform MT7620 through peripherals and interfaces, and a network data transmission module comprises a route exchange module, a WIFI networking module, a security authentication module and the like and is used for transmitting data to a cloud server system.

The radio frequency hardware architecture comprises a wireless intelligent sensing network card, a peripheral and an interface, a microwave module and a radio frequency module. The antenna and the radio frequency finish the detection of the space environment, and the data detected in real time is transmitted to the DSP module of the chip through the interface to carry out primary algorithm accelerated solution. The wireless intelligent perception network card acquires WIFI signals in the surrounding environment and detects and identifies targets according to the WIFI signals.

The chips of the microwave and radio frequency modules adopt an IWR1642 radar chip of Texas instruments. The IWR1642 radar chip is an integrated single-chip millimeter wave sensor capable of operating in the 76 to 81GHz band and based on FMCW radar technology, with continuous chirp up to 4 GHz.

The wireless perception network card adopts an AR9462WIFI network card module with high communication in the United states, the network card module works in an STA mode, CSI information sent by a router can be received, and peripheral space state information can be obtained by analyzing the CSI information.

The embedded hardware platform comprises an MT7620 main control chip, a power supply module and a wireless transmission network card, wherein a MT7620 product system integrates a 2T2R 802.11.11 n Wi-Fi transceiver, a 580MHz MIPS 24KE Central Processing Unit (CPU), a 5-port high-speed Ethernet port physical layer (Ethernet PHY), a HNAT, a memory accelerator, a USB2.0 host/device and various slow input and output. MT7620A supports PCIe, RGMII, and is suitable for use with AC750/AC1200 GbE router/repeater products and other peripherals. The wireless transmission network card adopts an RTL8188eu wireless network card module, and required data can be transmitted to the cloud server through the wireless network card.

The embedded software algorithm implementation module comprises a wireless signal sensing module, a filtering interference elimination module and a characteristic vector extraction module, after the three modules are passed, signals acquired from hardware are subjected to algorithm processing, and results after the algorithm processing are divided into intelligent people counting results and human behavior gesture recognition results.

The network data transmission module comprises a route exchange module, a WIFI networking module and a safety authentication module, and the network data transmission module is used for transmitting data to the cloud server system.

The utility model relates to a human body posture recognition device based on wireless signals, which can recognize a plurality of human body behaviors; the trajectory accuracy for judging the number of the personnel is relatively high; convenient for later consultation and responsibility confirmation.

Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.

Claims

1. The utility model provides a human gesture recognition device based on radio signal, a serial communication port, human gesture recognition device includes radio frequency hardware architecture and embedded hardware platform, wherein radio frequency hardware architecture includes wireless intelligent perception network card, peripheral hardware and interface, microwave radio frequency module and network data transmission module, wherein microwave and radio frequency module include DSP main control chip again, embedded hardware platform includes MT7620 main control chip, power module and wireless transmission network card, wireless intelligent perception network card and microwave radio frequency module are mainly used for surveying the space radio signal, this radio signal passes through peripheral hardware and interface transmission to embedded hardware platform MT7620 in, network data transmission module comprises route switching module, WIFI networking module, safety certification module etc. this module is arranged in transmitting data to the cloud end server system.

2. The human body posture recognition device based on wireless signals of claim 1, wherein the radio frequency hardware architecture comprises a wireless intelligent sensing network card, peripherals and interfaces, a microwave and a radio frequency module.

3. The human body posture recognition device based on wireless signals of claim 1, wherein the embedded hardware platform comprises an MT7620 main control chip, a power supply module and a wireless transmission network card.

4. The human body posture recognition device based on wireless signals of claim 1, further comprising an embedded software algorithm implementation module, which comprises a wireless signal perception module, a filtering interference elimination module and a feature vector extraction module.

5. The human body posture recognition device based on the wireless signals is characterized in that the network data transmission module comprises a route exchange module, a WIFI networking module and a safety certification module, and the modules are used for transmitting data to a cloud server system.

6. The human body posture recognition device based on wireless signals of claim 1, wherein the wireless transmission network card is a RTL8188eu wireless network card module, through which the required data can be transmitted to the cloud server.