Wearable blind guiding auxiliary device

Abstract

The utility model relates to a wearable blind guiding auxiliary device, comprising a helmet, which is externally provided with a power supply module, a loudspeaker module, an imaging module and a detection module; a central processing module and a plurality of vibration modules which are uniformly distributed are arranged in the base; the imaging module is used for collecting, detecting and recognizing obstacle information, blind sidewalk information and traffic light information in a road in real time. The detection module is used for detecting the distance between a user and obstacles in different directions; the central processing module is used for controlling the loudspeaker module to broadcast the obstacle information, the blind sidewalk information and the traffic light information in real time; and the control module is used for judging whether the distance between the user and the obstacle in the direction is a safe distance or not, controlling the vibration module in the direction to vibrate if the direction is unsafe, and controlling the loudspeaker module to give a voice alarm at the same time. The device provides touch and auditory dual feedback for a user, so that the user can perceive the direction and distance of an obstacle more intuitively and timely, and accurate blind guiding for the user is realized.

Description

Technical Field

[0001] This utility model relates to the field of guide assist devices, specifically to a wearable guide assist device. Background Technology

[0002] Due to difficulties in getting around, the blind community has long been in a predicament where they are neither seen in daily life nor by society. Although there are tactile paving paths to assist them in their travels, these paths are often obstructed and blocked by various obstacles, making it even more difficult for the blind community to travel.

[0003] Traditional methods for guiding the visually impaired include guide dogs, guide canes, and tactile paving. Guide dogs help blind people identify routes and avoid obstacles, offering advantages such as emotional support and adaptability. However, training guide dogs is costly, and the current usage rate is less than 1%. Guide canes are easy to use, inexpensive, and adaptable, but in complex environments, their information acquisition direction and dimensions are limited. While smart guide canes incorporate sensors to address the difficulties blind people face, they suffer from a lack of interactivity and a narrow field of vision.

[0004] An existing adjustable navigation helmet suitable for various head shapes has been proposed. This helmet uses a lifting mechanism to adjust the height of the top plate, ensuring comfort for users with different head shapes. Its adjustment mechanism includes an annular cavity and a threaded rod; the position of the curved plate is controlled by rotating a handle, achieving precise adjustment of the helmet's internal fit. Compared to traditional fixed-structure helmets, this design significantly improves adaptability and has a wider range of applications, while also enhancing the stability and safety of blind people when traveling. Another helmet is a smart guide helmet specifically designed for the visually impaired. This helmet uses a one-piece basic frame made with photosensitive resin 3D printing technology, covered inside and out with carbon fiber cloth, providing lightweight yet robust protection. It also features an internal foamed polyethylene cushioning liner and multiple external rubber strips to effectively improve shock absorption and cushioning performance. Through an STM32 microcontroller, this helmet provides hardware support for subsequent functional expansion (such as environmental perception and voice interaction), combining economy and versatility.

[0005] However, current technologies rely solely on limited sensing devices for obstacle detection, lacking multi-dimensional feedback on road conditions. This fails to meet the travel needs of blind people in complex environments, suffers from insufficient interactivity, has limited sensor types, and provides relatively simple feedback information. Furthermore, the limited sensors only enable basic environmental perception, lacking remote data transmission capabilities, thus hindering real-time status sharing and monitoring between family members and the blind person.

[0006] Therefore, there is a need to provide a wearable guide assist device for the blind to solve the above problems. Utility Model Content

[0007] This invention provides a wearable guide assist device for the blind to solve existing problems.

[0008] The wearable guide assist device of this utility model adopts the following technical solution, including:

[0009] The helmet has an external power module, a speaker module, an imaging module, and a detection module; and an internal central processing module and multiple evenly distributed vibration modules. The power module is electrically connected to the speaker module, imaging module, vibration modules, and central processing module.

[0010] The imaging module is used to collect, detect, and identify information about obstacles, tactile paving, and traffic lights in the road in real time; the detection module is used to detect the distance between the user and obstacles in different directions; the central processing module is used to control the speaker module to broadcast obstacle, tactile paving, and traffic light information in real time; and it is used to determine whether the distance between the user and obstacles in a certain direction is safe. If the distance is not safe, it controls the vibration module in that direction to vibrate and simultaneously controls the speaker module to issue a voice warning.

[0011] Preferably, the detection module includes multiple ultrasonic detectors disposed on the outer periphery of the helmet. The probes of the ultrasonic detectors are positioned away from the outer periphery of the helmet, and the ultrasonic detectors are used to detect the distance between the user and obstacles in the direction in which the ultrasonic detectors are facing.

[0012] Preferably, there are six ultrasonic probes, with three evenly distributed on the outer wall of the front half of the helmet shell, and one on each of the left and right outer walls and the outer wall of the rear half of the helmet shell.

[0013] Preferably, it further includes: a positioning module, a wireless internet access module, and a cloud server. The positioning module, the wireless internet access module, and the central processing module are electrically connected. The positioning module is used to obtain the user's real-time location, and the central processing module is used to upload the user's real-time location information to the cloud server through the wireless internet access module.

[0014] Preferably, it further includes: a fall detection module and a buzzer, the fall detection module, the buzzer and the central processing module are electrically connected, the fall detection module is used to detect the three-axis acceleration and angular velocity of the helmet in real time, the central processing module is used to determine the state of the helmet and the state of the user based on the three-axis acceleration and angular velocity, when the user is in a fall state, control the buzzer to issue a buzzer prompt for help, and upload the user's real-time location information to the cloud server through the wireless Internet module.

[0015] Preferably, the positioning module includes a positioning module motherboard and an antenna, the antenna including an antenna probe, and the antenna probe is connected to the positioning module motherboard via an antenna cable.

[0016] Preferably, it further includes: a temperature and humidity detection module and a voice interaction module. The temperature and humidity detection module, the voice interaction module, the speaker module and the central processing module are electrically connected and used to detect the temperature and humidity of the environment in real time. The central processing module is used to broadcast the temperature and humidity detected by the temperature and humidity detection module through the speaker module according to the temperature and humidity query command input by the user from the voice interaction module.

[0017] Preferably, the speaker module includes a first speaker and a second speaker. The first speaker is used to broadcast obstacle information, tactile paving information, and traffic light information in real time. The second speaker is used to broadcast temperature and humidity information via voice and to issue a voice alarm when the user is at an unsafe distance from an obstacle in that direction.

[0018] Preferably, the imaging module is a depth camera or an infrared camera.

[0019] The beneficial effects of this utility model are:

[0020] 1. The system detects the distance of the user to obstacles in different directions using a detection module, and collects and identifies information on obstacles, tactile paving, and traffic lights in real time using an imaging module. Then, the central processing module controls the speaker module to broadcast the obstacle, tactile paving, and traffic light information in real time. The central processing module also determines whether the user's distance to an obstacle in that direction is safe. If it is not safe, the system controls the vibration module in that direction to vibrate, and simultaneously controls the speaker module to issue a voice warning. This provides the user with both tactile and auditory feedback through the vibration motor and speaker module, allowing the user to perceive the direction and distance of obstacles more intuitively and promptly, thus improving the overall experience of the guide assist function for blind users.

[0021] 2. This device features six ultrasonic sensors on the outside of the helmet, enabling 360-degree obstacle detection, whereas existing technologies can only cover certain directions. This design effectively improves the obstacle detection range and accuracy, significantly enhancing the safety of blind people in complex environments. Through the positioning and wireless internet modules, the user's location and status can be uploaded to a cloud server in real time, allowing family members to remotely monitor the user's movements and providing more comprehensive safety assurance. The fall detection module and buzzer ensure that the buzzer automatically sounds an alarm and uploads information when the user falls, promptly seeking external assistance and further improving response efficiency in emergency situations. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of this utility model or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this utility model. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is an isometric drawing of a wearable guide assist device for the blind proposed in this utility model;

[0024] Figure 2 This is a front view of a wearable guide assist device for the blind proposed in this utility model;

[0025] Figure 3 This is a top view of a wearable guide assist device for the blind proposed in this utility model;

[0026] Figure 4 This is a left view of a wearable guide assist device for the blind proposed in this utility model;

[0027] Figure 5 This is a right view of a wearable guide assist device for the blind proposed in this utility model;

[0028] Figure 6 This is a bottom view of a wearable guide assist device for the blind proposed in this utility model;

[0029] Figure 7 This is a rear view of a wearable guide assist device for the blind proposed in this utility model.

[0030] In the diagram: 1. Central processing module; 2. Helmet; 3. Power supply module; 4. First ultrasonic probe; 5. Second ultrasonic probe; 6. Third ultrasonic probe; 7. Fourth ultrasonic probe; 8. Fifth ultrasonic probe; 9. Sixth ultrasonic probe; 10. First vibration motor; 11. Second vibration motor; 12. Third vibration motor; 13. Fourth vibration motor; 14. Fifth vibration motor; 15. Sixth vibration motor; 16. Imaging module; 17. Voice interaction module; 18. First speaker; 19. Second speaker; 20. Positioning module; 21. Antenna cable; 22. Antenna probe; 23. Wireless internet module; 24. Fall detection module; 25. Buzzer; 26. Temperature and humidity module. Detailed Implementation

[0031] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of the present utility model.

[0032] An embodiment of this utility model of a wearable guide assist device for the blind, such as... Figure 1 and Figure 6 As shown, the device includes: a helmet 2, with a power module 3, a speaker module, an imaging module 16, and a detection module externally mounted; a central processing module 1 and multiple vibration modules evenly distributed within the helmet 2 are located internally. The power module 3 is electrically connected to the speaker module, imaging module 16, vibration modules, and central processing module 1. The imaging module 16 is used to collect, detect, and identify information about obstacles, tactile paving, and traffic lights in real time. The detection modules are used to detect the distance between the user and obstacles in different directions. The central processing module 1 controls the speaker module to broadcast obstacle, tactile paving, and traffic light information in real time. It should be noted that the imaging module 16 is... A depth camera or infrared camera, with imaging module 16 mounted on the front shell of helmet 2, detects obstacles including pedestrians, vehicles, fire hydrants, roadside benches, potholes, and steps. When an obstacle is detected, a warning is issued to the user via speaker module, assisting them in making action decisions. For traffic light information, the speaker module displays the current traffic light color and remaining time. When tactile paving is detected, the speaker module guides the user into the correct tactile paving area. It also determines whether the user's distance from an obstacle in that direction is safe; if unsafe, it controls the vibration module in that direction to vibrate and simultaneously controls the speaker module to issue a voice warning.

[0033] like Figure 1 and Figure 2 As shown, the detection module includes: multiple ultrasonic detectors disposed on the outer periphery of the helmet 2, with the probes of the ultrasonic detectors positioned away from the outer periphery of the helmet 2. The ultrasonic detectors are used to detect the distance between the user and obstacles in the direction in which the ultrasonic detectors are facing. Figure 3As shown, this embodiment is equipped with a total of six ultrasonic detectors, namely the first ultrasonic detector 4, the second ultrasonic detector 5, the third ultrasonic detector 6, the fourth ultrasonic detector 7, the fifth ultrasonic detector 8, and the sixth ultrasonic detector 9. The first ultrasonic detector 4, the second ultrasonic detector 5, and the sixth ultrasonic detector 9 are evenly distributed on the outer wall of the front half of the helmet 2. The third ultrasonic detector 6 and the fifth ultrasonic detector 8 are arranged on the left and right outer walls of the helmet 2. The fourth ultrasonic detector 7 is arranged on the outer wall of the rear half of the helmet 2. It should be noted that the detection module can also be a lidar or infrared sensor module.

[0034] Specifically, the vibration module uses a vibration motor or an electrical stimulation module. This embodiment uses a vibration motor, such as... Figure 6 As shown, there are six vibration motors in total: the first vibration motor 10, the second vibration motor 11, the third vibration motor 12, the fourth vibration motor 13, the fifth vibration motor 14, and the sixth vibration motor 15. The first vibration motor 10 corresponds to the position of the first ultrasonic probe 4, the second vibration motor 11 corresponds to the position of the second ultrasonic probe 5, the third vibration motor 12 corresponds to the position of the third ultrasonic probe 6, the fourth vibration motor 13 corresponds to the position of the fourth ultrasonic probe 7, the fifth vibration motor 14 corresponds to the position of the fifth ultrasonic probe 8, and the sixth vibration motor 15 corresponds to the position of the sixth ultrasonic probe 9. Taking the first ultrasonic probe 4 as an example, when the first ultrasonic probe 4 detects an obstacle and the distance between the user and the obstacle is not within the preset safe distance (i.e., the distance is less than the safe distance), the central processing module 1 controls the first vibration motor 10, which is located at the distance of the first ultrasonic probe 4, to vibrate, so as to prompt the user that there is an obstacle in that direction and that the direction needs to be adjusted.

[0035] like Figure 6 As shown, the device also includes: a positioning module 20, a wireless internet module 23, and a cloud server. The positioning module 20 uses Bluetooth beacon or Wi-Fi positioning, and the wireless internet module 23 uses a 5G communication module or a remote transmission module. The positioning module 20, the wireless internet module 23, and the central processing module 1 are electrically connected. The positioning module 20 is used to obtain the user's real-time location. The positioning module 20 includes a positioning module motherboard and an antenna. The antenna includes an antenna probe 22, which is connected to the positioning module motherboard via an antenna cable 21. The antenna cable 21 is at least 3 meters long and wraps around the lower edge of the outer side of the helmet 2. The antenna probe 22 is used to receive GPS satellite signals. GPS satellite signals are divided into L1 and L2. The frequency of L1 is 1575.42 MHz, and the frequency of L2 is 1228 MHz. In this embodiment, the open civilian signal L1 is used. After the positioning module motherboard parses the GPS satellite signals, it sends them to the cloud server, allowing the user's family members to view the location information at any time through the cloud server for remote monitoring.

[0036] like Figure 5 and Figure 6 As shown, it also includes: a fall detection module 24 and a buzzer 25. The fall detection module 24, the buzzer 25 and the central processing module 1 are electrically connected. The fall detection module 24 adopts a three-axis gyroscope accelerometer. The fall detection module 24 is used to detect the three-axis acceleration and angular velocity of the helmet 2 in real time. The central processing module 1 is used to analyze and process the data based on the three-axis acceleration and angular velocity, analyze the motion state of the helmet 2, and thus determine the user's state. The user's state includes walking state and fall state. When the user is in a fall state, the buzzer 25 is controlled to emit a buzzer prompt to seek help. At the same time, the user's state information is uploaded to the cloud server for archiving through the wireless Internet module 23. The user's family members can view the current walking state through the cloud server and conduct remote monitoring. It should be noted that the fall detection module 24 can also adopt a posture detection system based on visual recognition to determine whether the user has fallen through image analysis.

[0037] like Figure 4 , Figure 5 and Figure 7 As shown, it also includes: a temperature and humidity detection module 26 and a voice interaction module 17. The temperature and humidity detection module 26 uses a temperature and humidity sensor, which is set on the top of the helmet 2. The temperature and humidity sensor is used to detect the temperature and humidity of the environment in real time. The temperature and humidity sensor, the voice interaction module 17, the speaker module and the central processing module 1 are electrically connected. The central processing module 1 is used to transmit the temperature and humidity query command input by the user from the voice interaction module 17, that is, the user inputs the temperature and humidity query command through the microphone integrated on the voice interaction module 17. The voice interaction module 17 transmits the temperature and humidity query command to the central processing module 1, and the central processing module 1 broadcasts the temperature and humidity detected by the temperature and humidity detection module 26 through the speaker module.

[0038] like Figure 3 As shown, the speaker module includes a first speaker 18 and a second speaker 19. The first speaker 18 is used to broadcast obstacle information, tactile paving information, and traffic light information in real time. The second speaker 19 is used to broadcast temperature and humidity information and to issue a voice alarm when the user's distance from an obstacle in that direction is unsafe. It should be noted that by setting up two speakers, the road condition broadcast information and the collision alarm sound can be separated. When both visual detection of an obstacle and sensor detection of an obstacle within a safe distance occur simultaneously, the first speaker 18 and the second speaker 19 can broadcast simultaneously without being affected. That is, considering that sequential broadcasting by a single speaker may cause a delay in key information, this embodiment uses two speakers to broadcast simultaneously.

[0039] Specific working principle

[0040] Visual road condition detection function: The imaging module 16 collects, detects, and identifies information on obstacles, tactile paving, and traffic lights in real time. When an obstacle is detected, the obstacle information is sent to the central processing module 1, which controls the first speaker 18 of the speaker module to warn the user of an obstacle ahead. When the imaging module 16 detects traffic light information, the central processing module 1 controls the first speaker 18 of the speaker module to announce the current traffic light color and remaining time to the user. When the imaging module 16 detects tactile paving information, the central processing module 1 guides the user into the correct tactile paving area through the speaker module based on the user's current location.

[0041] Six-directional ultrasonic anti-collision function: Six ultrasonic probes detect the distance of the user from obstacles in their respective directions in real time. If the central processing module 1 determines that one of the ultrasonic probes detects that the distance between the user and the obstacle is less than the safe distance, it controls the vibration motor corresponding to the ultrasonic probe to vibrate and informs the user through the second speaker 19 that there is an obstacle in that direction and asks the user to detour. At the same time, the vibration emitted by the vibration motor can also provide a tactile reminder to the user that there is an obstacle in that direction. Simultaneously, the second speaker 19 provides a voice warning, conveying the location of the obstacle to the user through tactile and auditory information.

[0042] Intelligent Interaction Function: The central processing module 1 feeds back environmental information to the blind person through the speaker module. For example, the central processing module 1 broadcasts the road condition information identified ahead to the blind person through the first speaker 18 of the speaker module. The blind person can also input temperature and humidity query commands into the microphone of the voice interaction module 17. That is, the central processing module 1 detects the ambient temperature and humidity through the temperature and humidity module 26. When the user queries the temperature and humidity through the voice interaction module 17, the central processing module 1 controls the second speaker 19 to broadcast the current ambient temperature and humidity, thus achieving a more humanized guide service for the blind. This utility model embodiment can realize voice broadcasting and voice recognition functions, and better interact with the blind person.

[0043] Fall detection function: The central processing module 1 controls the fall detection module 24 to obtain the three-axis acceleration and angular acceleration of the guide assist device in real time, analyzes and processes the data, analyzes the head movement state, and thus judges the walking status of the blind person. When a fall occurs, the buzzer 25 is controlled to give a buzzing prompt to seek help from the surrounding area. At the same time, the information is reported to the network for archiving. The blind person's family members can view the current walking status through the cloud platform and provide remote protection.

[0044] The above description is only a preferred embodiment of the present utility model and is not intended to limit the present utility model. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present utility model should be included within the protection scope of the present utility model.

Claims

1. A wearable guide assist device for the blind, characterized in that, include: The helmet (2) is equipped with a power module (3), a speaker module, an imaging module (16) and a detection module on its exterior; It is equipped with a central processing module (1) and multiple vibration modules evenly distributed inside the helmet (2), and the power module (3) is electrically connected to the speaker module, imaging module (16), vibration module, and central processing module (1); Among them, the imaging module (16) is used to collect and detect information on obstacles, blind paths and traffic lights in the road in real time; the detection module is used to detect the distance between the user and obstacles in different directions; the central processing module (1) is used to control the speaker module to broadcast the information on obstacles, blind paths and traffic lights in real time; it is used to determine whether the distance between the user and the obstacle in that direction is a safe distance. If the direction is not safe, it controls the vibration module in that direction to vibrate and controls the speaker module to give a voice warning.

2. The wearable guide assist device for the blind according to claim 1, characterized in that, The detection module includes multiple ultrasonic probes set on the outer periphery of the helmet (2). The probes of the ultrasonic probes are set away from the outer periphery of the helmet (2). The ultrasonic probes are used to detect the distance between the user and obstacles in the direction in which the ultrasonic probes are facing.

3. A wearable guide assist device for the blind according to claim 2, characterized in that, There are six ultrasonic probes, three of which are evenly distributed on the outer wall of the front half of the helmet (2), one on each of the left and right outer walls of the helmet (2) and the outer wall of the rear half of the helmet (2).

4. A wearable guide assist device for the blind according to claim 1, characterized in that, Also includes: The system includes a positioning module (20), a wireless internet access module (23), and a cloud server. The positioning module (20), the wireless internet access module (23), and the central processing module (1) are electrically connected. The positioning module (20) is used to obtain the user's real-time location in real time. The central processing module (1) is used to upload the user's real-time location information to the cloud server through the wireless internet access module (23).

5. A wearable guide assist device for the blind according to claim 4, characterized in that, Also includes: The fall detection module (24) and the buzzer (25) are electrically connected to the central processing module (1). The fall detection module (24) is used to detect the three-axis acceleration and angular velocity of the helmet (2) in real time. The central processing module (1) is used to determine the state of the helmet (2) and the state of the user based on the three-axis acceleration and angular velocity. When the user is in a fall state, the buzzer (25) is controlled to issue a buzzer prompt to seek help, and the user's real-time location information is uploaded to the cloud server through the wireless Internet module (23).

6. A wearable guide assist device for the blind according to claim 4, characterized in that, The positioning module (20) includes a positioning module motherboard and an antenna. The antenna includes an antenna probe (22), which is connected to the positioning module motherboard via an antenna cable (21).

7. A wearable guide assist device for the blind according to claim 1, characterized in that, Also includes: The temperature and humidity detection module (26) and the voice interaction module (17) are electrically connected to the speaker module and the central processing module (1) for real-time detection of the temperature and humidity of the environment. The central processing module (1) is used to broadcast the temperature and humidity detected by the temperature and humidity detection module (26) through the speaker module according to the temperature and humidity query command input by the user from the voice interaction module (17).

8. A wearable guide assist device for the blind according to claim 7, characterized in that, The speaker module includes a first speaker (18) and a second speaker (19). The first speaker (18) is used to broadcast obstacle information, tactile paving information and traffic light information in real time. The second speaker (19) is used to broadcast temperature and humidity and to issue a voice alarm when the user is at an unsafe distance from an obstacle in that direction.

9. A wearable guide assist device for the blind according to claim 1, characterized in that, The imaging module (16) is a depth camera or an infrared camera.

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