CN215450425U - Helmet wearing identification system - Google Patents
Helmet wearing identification system Download PDFInfo
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- CN215450425U CN215450425U CN202120252585.1U CN202120252585U CN215450425U CN 215450425 U CN215450425 U CN 215450425U CN 202120252585 U CN202120252585 U CN 202120252585U CN 215450425 U CN215450425 U CN 215450425U
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Abstract
The utility model relates to the technical field of intelligent traffic, and discloses a helmet wearing identification system which comprises data acquisition devices arranged on each traffic section, cameras for dynamically monitoring persons entering the traffic section and helmet wearing identification equipment in bidirectional connection with the cameras, wherein the helmet wearing identification equipment comprises a helmet identification host, the helmet identification host comprises a vehicle characteristic identification module, a human body characteristic identification module and a helmet characteristic identification module which are trained based on a YOLOv5 model, each module of the helmet identification host detects videos and/or pictures shot by the cameras, and transmits a snapshot signal to the cameras when the helmet characteristic identification module does not identify helmets of riding persons; the helmet wearing identification system further comprises a monitoring center in signal connection with the data acquisition devices of all traffic road sections, and the helmet wearing identification equipment can upload the snapshot pictures of the cameras to the monitoring center. The identification system can carry out real-time detection, analysis, identification and processing on the wearing condition of the helmet, and the traffic accident rate is reduced.
Description
Technical Field
The utility model relates to the technical field of intelligent traffic, in particular to a helmet wearing identification system for two-wheeled vehicles such as electric vehicles, motorcycles, bicycles and the like.
Background
At present, two-wheeled vehicles such as electric vehicles, motorcycles, bicycles and the like play an indispensable role in many urban traffics, however, traffic accidents are easy to happen when the two-wheeled vehicles are ridden, once the accidents happen, riders are inevitably injured, and serious injuries are fatal due to craniocerebral injuries. If the rider can wear the helmet well, the death and injury rate of road traffic injuries can be obviously reduced.
Although the safety guardianship action of 'one helmet with one' is always carried out nationwide, and the condition of 'no helmet trip' is greatly improved, the condition that the vehicle is not worn by the helmet is still rare under the influence of multiple factors such as behavior habits, safety consciousness and management strength. People's action habit depends on corresponding supervision measures by system two, most of the current supervision measures adopt an inspection mode of manually observing video monitoring pictures or on-site inspection, and the supervision mode has the defects of low working efficiency, small coverage range and the like.
Disclosure of Invention
The utility model solves the technical problem of overcoming the defects of the prior art and provides a helmet wearing identification system for detecting, monitoring and reminding in place in real time.
The purpose of the utility model is realized by the following technical scheme:
a helmet wearing identification system comprises data acquisition devices arranged on each traffic road section, wherein each data acquisition device comprises a camera for dynamically monitoring people entering the traffic road section and helmet wearing identification equipment in bidirectional connection with the camera, each helmet wearing identification equipment comprises a helmet identification host, each helmet identification host comprises a vehicle characteristic identification module, a human body characteristic identification module and a helmet characteristic identification module which are trained based on a YOLOv5 model, each module of the helmet identification host detects videos and/or pictures shot by the camera, and a snapshot signal is transmitted to the camera when the helmet characteristic identification module does not identify the helmet of a rider; the helmet wearing identification system further comprises a monitoring center in signal connection with the data acquisition devices of all traffic road sections, and the helmet wearing identification equipment can upload the snapshot pictures of the cameras to the monitoring center.
Furthermore, the helmet wearing identification device also comprises a storage control host which is bidirectionally connected with the helmet identification host, and the storage control host comprises a picture processing module for preprocessing the snapshot picture and a storage module for backing up the video and/or the picture shot by the camera.
Furthermore, the camera is a high-definition network camera and is internally provided with an embedded DSP chip.
Further, the data acquisition device also comprises an LED strobe lamp which is unidirectionally connected with the camera.
Further, a watchdog is configured in the helmet wearing identification device.
Further, still include the speaker with supporting setting of data acquisition device, the speaker wears identification equipment one-way connection with the helmet to instruct speaker work when helmet characteristic identification module does not discern the rider helmet.
Further, the helmet wearing identification equipment and the monitoring center realize data transmission through the optical fiber transceiver.
Further, the monitoring center comprises a center server and an inquiry terminal which are connected with each other.
Further, the inquiry terminal comprises one or more of a display screen, a PC terminal and a mobile terminal.
Compared with the prior art, the utility model has the following beneficial effects:
the helmet wearing recognition system monitors road conditions through a camera, helmet wearing recognition equipment formed by combining a vehicle feature recognition module trained based on a YOLOv5 model, a human body feature recognition module and a helmet feature recognition module carries out real-time detection, analysis, recognition and processing on videos/pictures acquired by the camera, finally uploads the captured pictures to a monitoring center, and is synchronously provided with a loudspeaker so as to send voice reminding when no helmet condition is detected, so that the whole-course automatic effective storage, monitoring and reminding of the recognition system are realized, the 'one-helmet-one-belt' standard management can be realized under the condition of no traffic intervention, a driver is restrained and prompted to comply with traffic regulations, the 'no helmet trip' condition is reduced, and the traffic accident rate is reduced;
the YOLOv5 model has small requirement on hardware calculation force, supports the use of the latest image recognition model, has small volume, high speed and high precision, and cannot damage the original signal system.
Drawings
Fig. 1 is a block diagram showing a helmet wearing recognition system according to embodiment 1;
fig. 2 is a block diagram of the data acquisition apparatus according to embodiment 1.
Detailed Description
The present invention will be further described with reference to the following detailed description, wherein the drawings are provided for illustrative purposes only and are not intended to be limiting; to better illustrate the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
Example 1
Taking monitoring of riding safety of an electric vehicle as an example, an electric vehicle helmet wearing identification system is provided, which is arranged on monitoring rods of various traffic road sections and comprises a data acquisition device arranged on each traffic road section and a monitoring center in signal connection with each data acquisition device as shown in fig. 1, wherein the data acquisition device comprises a camera for dynamically monitoring personnel entering the traffic road sections, an LED strobe lamp in one-way connection with the camera through a network and an electric vehicle helmet wearing identification device in two-way connection with the camera through a network cable as shown in fig. 2, the camera is a high-definition network camera and is internally provided with an embedded DSP chip, an embedded operating system is adopted, a high-definition line-by-line scanning CCD is configured, meanwhile, the coding and snapshot functions are supported, the strobe lamp synchronization is supported, the electric vehicle helmet wearing identification system has a continuous snapshot function, and the camera needs to be provided with an IP 66-grade protective cover with a temperature control function; the camera frame is arranged at the center of the detection section, the LED strobe light and the camera are arranged on the same horizontal line, and generally, one LED strobe light is arranged on each lane; the electric vehicle helmet wearing identification device comprises a helmet identification host and a storage control host which is bidirectionally connected with the helmet identification host, the helmet identification host and the storage control host are respectively connected with an Ethernet switch, the electric vehicle helmet wearing identification device can provide complete control, identification and communication functions, the helmet identification host adopts an industrial-grade low-power-consumption embedded design, no golden finger is prevented from being oxidized, the electric vehicle helmet wearing identification device internally comprises an electric vehicle characteristic identification module, a human body characteristic identification module and a helmet characteristic identification module which are trained based on a YOLOv5 model, the YOLOv5 model has small requirements on hardware calculation, small volume, high speed and high precision, does not damage an original signal control system, can meet the real-time identification requirements based on video flow, so that the electric vehicle helmet wearing identification device can carry out frame-by-frame detection on video flow and/or pictures shot by a camera in real time, and when the helmet of a person riding an electric vehicle is not identified by the helmet characteristic identification module, the method comprises the following steps that a snapshot signal is transmitted to a camera through an Ethernet switch, and the camera controls an LED strobe light at a certain frequency through an external pulse signal to supplement light to the environment; the storage control host comprises a picture processing module for preprocessing a snapshot picture and a storage module for backing up a video stream and/or a picture shot by a camera, wherein the picture preprocessing refers to adding watermarks such as a time address to the picture by the picture processing module, so that the later-stage traffic police personnel can conveniently check the pictures; when the camera transmits the high-definition pictures to the helmet wearing identification device, the picture processing module performs preprocessing immediately, and then the electric vehicle helmet wearing identification device uploads the pictures to the monitoring center. The electric vehicle helmet wearing identification equipment automatically intercepts illegal videos from a video stream according to the electric vehicle violation time and associates the illegal videos with illegal pictures.
The electric vehicle helmet wearing identification equipment is placed in a junction main equipment box, the junction main equipment box adopts a double-layer heat insulation structure and is of a standard rack structure, heating equipment is arranged on the upper portion, low-temperature equipment is arranged on the lower portion, and an entrance hole is arranged on the bottom, namely, the entrance hole is connected with a foundation.
Because the recognition system of the application emphasizes on supervising the driver to wear the helmet, the recognition system is also provided with the loudspeaker matched with the data acquisition device, and the loudspeaker is in one-way connection with the electric vehicle helmet wearing recognition device, so that when the helmet characteristic recognition module does not recognize the electric vehicle driver helmet, a signal is sent to the loudspeaker to indicate the loudspeaker to send out voice reminding or warning such as 'asking the electric vehicle, the motorcycle and the bicycle driver to wear the helmet consciously'.
The hardware watchdog is configured in the electric vehicle helmet wearing identification equipment, if the system crashes due to an accident, the watchdog can play a role, and the system is automatically redirected to enter a working state.
The electric vehicle helmet wearing identification device and the monitoring center realize data transmission through wireless communication devices such as an optical fiber transceiver and the like, and specifically comprise the optical fiber transceiver and a multi-path optical receiver.
The monitoring center comprises a central server and an inquiry terminal which are connected with each other, the central server stores detected violation videos, images and detection results, the detection results are analyzed and summarized, the wearing condition of the recent intersection helmet can be inquired on the inquiry terminal in real time, and the stored videos and images are convenient for a traffic police to inquire and check in the later period. The multi-path optical fiber transceiver transmits the relevant information to the central server through the core switch. The inquiry terminal comprises one or more of a display screen, a PC (personal computer) end and a mobile end, the large display screen adopts a modular splicing design, the wearing conditions of the helmet in one day or in the near term are collected into a clear statistical chart or information to be displayed, and the PC end and the mobile end synchronously display and support inquiry.
It should be understood that the above examples are only for clearly illustrating the technical solutions of the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (9)
1. A helmet wearing identification system is characterized by comprising data acquisition devices arranged on each traffic section, wherein each data acquisition device comprises a camera for dynamically monitoring people entering the traffic section and helmet wearing identification equipment in bidirectional connection with the camera, each helmet wearing identification equipment comprises a helmet identification host, each helmet identification host comprises a vehicle characteristic identification module, a human body characteristic identification module and a helmet characteristic identification module based on Yolov5 model training, each module of the helmet identification host detects videos and/or pictures shot by the camera, and a snapshot signal is transmitted to the camera when the helmet characteristic identification module does not identify a helmet of a rider; the helmet wearing identification system further comprises a monitoring center in signal connection with the data acquisition devices of all traffic road sections, and the helmet wearing identification equipment can upload the snapshot pictures of the cameras to the monitoring center.
2. The helmet wearing identification system according to claim 1, wherein the helmet wearing identification device further comprises a storage control host bidirectionally connected to the helmet identification host, and the storage control host comprises a picture processing module for preprocessing the captured picture and a storage module for backing up the video and/or picture taken by the camera.
3. The helmet wearing identification system of claim 1, wherein the camera is a high-definition web camera with an embedded DSP chip built in.
4. The helmet worn identification system of claim 1, wherein the data acquisition device further comprises an LED strobe unidirectionally connected to the camera.
5. The headgear wear identification system according to claim 1, wherein a watchdog is provided in the headgear wear identification device.
6. The helmet wearing identification system of claim 1, further comprising a speaker configured to cooperate with the data acquisition device, wherein the speaker is unidirectionally connected to the helmet wearing identification device and is configured to instruct the speaker to operate when the helmet characteristic identification module does not identify the helmet of the rider.
7. The helmet wearing identification system according to claim 1, wherein the helmet wearing identification device and the monitoring center implement data transmission via a fiber optic transceiver.
8. The helmet wearing identification system according to claim 1, wherein the monitoring center includes a center server and an inquiry terminal connected to each other.
9. The helmet wearing identification system of claim 8, wherein the inquiry terminal comprises one or more of a display screen, a PC terminal and a mobile terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202120252585.1U CN215450425U (en) | 2021-01-28 | 2021-01-28 | Helmet wearing identification system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202120252585.1U CN215450425U (en) | 2021-01-28 | 2021-01-28 | Helmet wearing identification system |
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| CN215450425U true CN215450425U (en) | 2022-01-07 |
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| CN202120252585.1U Active CN215450425U (en) | 2021-01-28 | 2021-01-28 | Helmet wearing identification system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114724369A (en) * | 2022-03-30 | 2022-07-08 | 杭州骑迹科技有限公司 | Method and system for reporting and managing violation of shared bicycle |
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2021
- 2021-01-28 CN CN202120252585.1U patent/CN215450425U/en active Active
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114724369A (en) * | 2022-03-30 | 2022-07-08 | 杭州骑迹科技有限公司 | Method and system for reporting and managing violation of shared bicycle |
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