Take-out worker visual helmet system and operation method thereof

Abstract

The invention provides a take-out worker visual helmet system and an operation method thereof, and belongs to the technical field of intelligent helmets, the system comprises a Wi-Fi / 4G / 5G module, a front camera, a rear camera, a cloud server, an MCU, a loudspeaker, a TF card, a microphone array and an infrared module; the Wi-Fi / 4G / 5G module, the front camera, the rear camera, the MCU, the loudspeaker, the TF card, the microphone array and the infrared module are all integrated in the helmet, and the Wi-Fi / 4G / 5G module, the front camera, the rear camera, the MCU, the loudspeaker, the TF card, the microphone array and the infrared module are all connected with the MCU; the Wi-Fi / 4G / 5G module is in wireless connection with the cloud server; real-time pictures are recorded through the front and rear large-wide-angle double cameras, and reliable evidence is provided for traffic accidents. Real-time image processing is carried out on front and rear cameras through an algorithm, pre-collision alarm is carried out, behaviors of takeout staff are analyzed through cloud big data, orders are issued to helmets through the cloud and broadcasted through voice, and potential safety hazards caused by order operation of the takeout staff through mobile phones are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of smart helmets, and in particular to a visual helmet system for delivery drivers and an operating method thereof. Background Art

[0002] With the development of the economy and the improvement of residents' income level, most office workers have three meals a day by ordering takeout. This has led to the rapid development of the takeout industry, but it has also caused many problems. In particular, the many shortcomings of the deliverymen's helmets, such as the inability to record the real-time front and rear images of the rider, the lack of pre-collision warnings, the lack of riding behavior analysis capabilities, and the inability to correct the rider's behavior.

[0003] Therefore, there is an urgent need in this field for a technical solution that can ensure the riding safety of deliverymen.

[0004] The information disclosed in this background technology section is only intended to enhance the understanding of the overall background of the invention and should not be regarded as an acknowledgment or any form of suggestion that the information constitutes the prior art already known to a person skilled in the art. Summary of the invention

[0005] The purpose of the present invention is to provide a helmet system that can ensure the riding safety of delivery drivers.

[0006] To achieve the above object, the present invention provides the following solutions:

[0007] A delivery driver visual helmet system, comprising:

[0008] Wi-Fi / 4G / 5G module, front camera, rear camera, cloud server, MCU, speaker, TF card, microphone array and infrared module; the Wi-Fi / 4G / 5G module, front camera, rear camera, MCU, speaker, TF card, microphone array and infrared module are all integrated in the helmet, and the Wi-Fi / 4G / 5G module, front camera, rear camera, MCU, speaker, TF card, microphone array and infrared module are all connected to the MCU; the Wi-Fi / 4G / 5G module is wirelessly connected to the cloud server;

[0009] The front camera and the rear camera are used to capture video;

[0010] The MCU is used to store the video into a TF card and issue an alarm for pre-collision through a real-time image algorithm;

[0011] The Wi-Fi / 4G / 5G module is used to report the rider's data to the cloud server and analyze the rider's behavior through the cloud server; the cloud server is also used to send voice messages of takeaway orders to the helmet and remind the deliveryman to accept the order through the speaker, and the deliveryman accepts the order by voice through the microphone array.

[0012] Optionally, the infrared module is used to enhance nighttime recognition capabilities and improve safety.

[0013] An operating method of a deliveryman's visual helmet system comprises: opening the helmet, collecting images from front and rear cameras, and storing the collected images in a TF card;

[0014] The MCU analyzes the images through real-time image algorithms;

[0015] Determine whether to trigger a pre-collision alarm;

[0016] Report data statistics to the cloud server

[0017] The cloud server sends the order to the helmet;

[0018] The rider receives the order through the helmet and uploads the order receipt message to the cloud server.

[0019] Compared with the prior art, the present invention has the following beneficial effects:

[0020] 1. Real-time images are recorded by front and rear wide-angle dual cameras, and 360-degree real-time images of the riding process are restored without blind spots, providing reliable evidence for traffic accidents.

[0021] 2. The real-time images from the front and rear cameras are processed through algorithms to provide pre-collision alarms, providing safety protection for deliverymen during their rides.

[0022] 3. Analyze the behaviors of deliverymen through cloud-based big data and correct their irregular behaviors.

[0023] 4. Orders are sent to helmets through the cloud and announced by voice, making it convenient for deliverymen to receive orders while riding and when their hands are occupied, reducing the safety risks caused by deliverymen operating orders through mobile phones. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0025] Figure 1 A schematic diagram of the structure of a visual helmet system provided in an embodiment of the present invention.

[0026] Figure 2 A schematic diagram of a method for operating a visual helmet provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] The purpose of the present invention is to provide a helmet system that can ensure the riding safety of delivery drivers.

[0029] The purpose of this embodiment is to solve:

[0030] 1. Solve the problem that cyclists cannot completely restore the scene of a traffic accident

[0031] 2. Provide pre-collision warning to cyclists to ensure their safety.

[0032] 3. Correct the irregular behavior of cyclists.

[0033] 4. Solve the safety hazards caused by deliverymen taking orders with their mobile phones while riding.

[0034] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0035] Embodiment 1:

[0036] This embodiment provides a deliveryman visual helmet system and an operation method thereof, such as Figure 1 As shown, the system includes:

[0037] Wi-Fi / 4G / 5G module, front camera, rear camera, cloud server, MCU, speaker, TF card, microphone array and infrared module; the Wi-Fi / 4G / 5G module, front camera, rear camera, MCU, speaker, TF card, microphone array and infrared module are all integrated in the helmet, and the Wi-Fi / 4G / 5G module, front camera, rear camera, MCU, speaker, TF card, microphone array and infrared module are all connected to the MCU; the Wi-Fi / 4G / 5G module is wirelessly connected to the cloud server;

[0038] The front camera and the rear camera are used to capture video;

[0039] The MCU is used to store the video into a TF card and issue an alarm for pre-collision through a real-time image algorithm;

[0040] The Wi-Fi / 4G / 5G module is used to report the rider's data to the cloud server and analyze the rider's behavior through the cloud server; the cloud server is also used to send voice messages of takeaway orders to the helmet and remind the deliveryman to accept the order through the speaker, and the deliveryman accepts the order by voice through the microphone array.

[0041] In one implementation, the infrared module is used to enhance nighttime recognition capabilities and improve safety.

[0042] like Figure 2 As shown, the method for operating the deliveryman's visual helmet system includes:

[0043] Turn on the helmet, collect images from the front and rear cameras, and store the collected images in the TF card;

[0044] The MCU analyzes the images through real-time image algorithms;

[0045] Determine whether to trigger a pre-collision alarm;

[0046] Report data statistics to the cloud server

[0047] The cloud server sends the order to the helmet;

[0048] The rider receives the order through the helmet and uploads the order receipt message to the cloud server.

[0049] The principle of this embodiment is:

[0050] When riding, riders wearing visible helmets can record the real-time images of the front and rear cameras to the TF card, and automatically update and manage the date to ensure video loop coverage. While recording the real-time images to the TF card, the MCU analyzes the real-time images through algorithms and monitors the pre-collision. When there is a risk of collision, the speaker on the helmet outputs an alarm tone to remind the rider, so that the rider can take corresponding safety measures in time to avoid traffic accidents and provide safety protection for the rider. On the other hand, by reporting the rider's speed, riding time, red light running behavior, the number of times the pre-collision alarm is triggered, and other data to the server, the server conducts big data analysis to train and correct the irregular behavior of the deliveryman. At the same time, when there is a takeaway order, the server sends the order to the helmet, and the helmet plays the order information through the speaker. The deliveryman can receive the order by voice, avoiding the safety hazards caused by operating the mobile phone to receive orders during riding.

[0051] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0052] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A deliveryman visual helmet system, characterized in that: include: Wi-Fi / 4G / 5G module, front camera, rear camera, cloud server, MCU, speaker, TF card, microphone array and infrared module; the Wi-Fi / 4G / 5G module, front camera, rear camera, MCU, speaker, TF card, microphone array and infrared module are all integrated in the helmet, and the Wi-Fi / 4G / 5G module, front camera, rear camera, MCU, speaker, TF card, microphone array and infrared module are all connected to the MCU; the Wi-Fi / 4G / 5G module is wirelessly connected to the cloud server; The front camera and the rear camera are used to capture video; The MCU is used to store the video into a TF card and issue an alarm for pre-collision through a real-time image algorithm; The Wi-Fi / 4G / 5G module is used to report the rider's data to the cloud server and analyze the rider's behavior through the cloud server; the cloud server is also used to send voice messages of takeaway orders to the helmet and remind the deliveryman to accept the order through the speaker, and the deliveryman accepts the order by voice through the microphone array.

2. The deliveryman visual helmet system according to claim 1, characterized in that: The infrared module is used to enhance nighttime recognition capability and improve safety.

3. An operating method of a deliveryman's visual helmet system according to any one of claims 1-2, characterized in that: include: Turn on the helmet, collect images from the front and rear cameras, and store the collected images in the TF card; The MCU analyzes the images through real-time image algorithms; Determine whether to trigger a pre-collision alarm; Report data statistics to the cloud server The cloud server sends the order to the helmet; The rider receives the order through the helmet and uploads the order receipt message to the cloud server.

Images