US-20260123829-A1 - VISUAL EAR PICK WITH BUILT-IN WIFI, LIGHTING SUPPLEMENTATION, AND CAMERA FUNCTIONS
Abstract
A visual ear pick with built-in WiFi, lighting supplementation, and camera functions relates to a visual ear pick with a camera and a matching smart phone application and solves the problems that people cannot observe conditions in the ear canals when cleaning the ear canals with an ear pick. The visual ear pick is connected to a mobile phone or a tablet. The ear pick is turned on and is slightly put into the ear canal. Real-time images on the mobile phone or the tablet are observed, so that a position and angle of the ear pick are adjusted according to a need to clean the ear canals or observe conditions in the ears, thereby intuitively observing the conditions in the ears and avoiding a risk caused by a blind operation.
Inventors
- Jian Hu
Assignees
- Jian Hu
Dates
- Publication Date
- 20260507
- Application Date
- 20241106
Claims (7)
- 1 . A visual ear pick with built-in WiFi, lighting supplementation, and camera functions, comprising the following key components and steps: step I, components of a device comprise a camera module, a lighting supplementation system, a WiFi module, a processor, a storage unit, and a user interface; step II, application functions comprise image recognition, real-time displaying, and reminding; step III, wireless upgrade functions comprise firmware update and wireless transmission; and step IV, a user quickly establishes connection to an application through a QR code or by entering a device ID, and the user turns on/turns off a camera to adjust brightness by performing an operation of controlling the device through the application.
- 2 . The visual ear pick with the built-in WiFi, lighting supplementation, and camera functions according to claim 1 , wherein in step I, a high-resolution camera is arranged in the camera module to capture an image inside an ear canal; the lighting supplementation system comprises a light-emitting diode (LED) lamp or another light source to provide sufficient lighting in a low-light environment; the WiFi module is configured to achieve wireless connection between the device and a smart phone or another smart device; the processor is configured to: process image data captured by the camera and control other functions of the device; the storage unit is configured to store firmware and user data; and the user interface comprises a button or a touch screen for interactions between the user and the device.
- 3 . The visual ear pick with the built-in WiFi, lighting supplementation, and camera functions according to claim 2 , wherein core assemblies of the camera module comprise a processing chip, a control chip, a power supply management chip, and two groups of data encryption chips; the processing chip is in communication connection with the control chip to cooperatively work; the processing chip is matched with an external interface, the WiFi module, and a Serial Peripheral Interface (SPI) flash memory; the control chip is connected to a Complementary Metal-Oxide-Semiconductor Transistor (CMOS) module; the power supply management chip is electrically connected to the processing chip and the control chip; the two groups of data encryption chips respectively serve the processing chip and the control chip; the design enables the processing chip and the control chip to complement advantages; and a chip S3C2410 is used for assisting in processing to reduce a load on a Central Processing Unit (CPU) ASC8850, improve an efficiency of the CPU, achieve system balance processing, make the CPU run faster, and reduce power consumption.
- 4 . The visual ear pick with the built-in WiFi, lighting supplementation, and camera functions according to claim 1 , wherein in step II, the application uses a built-in eardrum recognition algorithm to recognize and retrieve an image transmitted by a personal protective device, and calculates a probability of finding an eardrum; the built-in eardrum recognition algorithm is based on an advanced artificial intelligence technology and a deep learning model of a convolutional neural network; by training a large amount of labeled data, the application has a capability of accurately recognizing the eardrum under various different lighting conditions and angles; after the eardrum is found, the built-in eardrum recognition algorithm makes repeated judgment to filter out mis-recognition; and when filtered data indicates that the visual ear pick is indeed close to the eardrum, the user is prompted to get away from the eardrum by an icon, a color, a sound, and vibration.
- 5 . The visual ear pick with the built-in WiFi, lighting supplementation, and camera functions according to claim 1 , wherein in step III, content to be updated, a scope to be updated, and a target device to be updated are determined; a firmware package and related tool required for the update further need to be prepared; the user needs to download the firmware package to a computer or another storage device, then transfer the firmware package to the target device through wireless connection, then initiate an update program on the device, and complete a firmware installation process according to prompts; and after the update is completed, the device needs to be verified and tested to ensure that the firmware update is successful and the device operates normally.
- 6 . The visual ear pick with the built-in WiFi, lighting supplementation, and camera functions according to claim 1 , wherein in step III, a Bluetooth or WiFi function of a mobile phone or a smart device is activated; a wireless signal of the visual ear pick is searched and connected in the APP; the visual ear pick is gently placed at an entrance of an ear canal in a manner of not inserting too deeply to avoid injury of the ear canal or an eardrum; then, the camera in the visual ear pick captures an image inside the ear canal; captured image information is modulated by a signal processing module inside the visual ear pick and is converted into a high-frequency signal suitable for wireless transmission; and the high-frequency signal obtained by modulation is sent out through a wireless transmission module of the visual ear pick to establish a wireless connection with the mobile phone or the smart device.
- 7 . The visual ear pick with the built-in WiFi, lighting supplementation, and camera functions according to claim 4 , wherein in step IV, the application is opened to enter a device connection interface; according to a prompt of the application, a camera of a mobile phone is used to scan the QR code on the device, or an ID number of the device is manually entered to wait for the application to establish a connection with the device; after the connection is successful, the application usually displays information about the device; the user views a state and battery level of the device through the application; options for controlling the camera are found in the application; when a button “Camera ON” is tapped, the camera starts to work and captures images; when a button “Camera OFF” is tapped, the camera stops working; an option for adjusting brightness is found in the application; a sliding bar, a button, or another control is used to adjust the brightness of the camera according to an actual need; an adjusted image effect is previewed in real time to ensure clear images and appropriate brightness.
Description
TECHNICAL FIELD The present disclosure relates to a visual ear pick with a camera and a matching smart phone application, thereby achieving a method for wirelessly transmitting an image of a camera at a head portion of the ear pick to a mobile phone and achieving reminding of being near the eardrum and wireless firmware upgrade. BACKGROUND Traditionally, people clean their ear canals with ear picks, but they cannot observe conditions inside the ear canals themselves. The present disclosure achieves a personal hygiene device with a camera, such as a visual ear pick, which needs to be connected to a smart phone application of a user through a WiFi hotspot to transmit image data inside the ear canals. The car pick is provided with a built-in high-definition camera that transmits images inside the ear canal in real time to a mobile phone or a tablet through a wireless technology. The user can intuitively observe conditions inside the cars, thereby avoiding the risk caused by blind operation. By the arrangement of the high-definition camera, it ensures clear images and facilitates users to observe details inside the ear canals. Bluetooth or WiFi connection is supported. The operation is simple, and complex cable connection is not required. The ear pick is made of a food-grade material, which is easily cleaned and disinfected, ensuring hygiene and safety during use. In addition to cleaning the ear canals, the ear pick can also be used as an endoscope to observe other small internal structures. SUMMARY For the shortcomings of the above technology, the present disclosure discloses a visual ear pick with built-in WiFi, lighting supplementation, and camera functions, which can intuitively transmit a video of a camera on the visual ear pick in real time to a smart phone application. The present disclosure achieves displaying of images of an ear canal on a smart device such as a mobile phone. When a user uses the visual ear pick device, the application identifies the eardrum in a timely manner by recognizing an image inside the ear canal and reminds the user to get away from the eardrum. The application can obtain new firmware through a server and has the capability of performing wireless upgrade after it is connected to a personal protective device. When the user uses a personal hygiene device with a camera, the user can establish a connection with the application more quickly and be reminded in a timely manner of a safe distance from the eardrum. Wireless firmware upgrade can be performed at any time to keep the functions being updated. A visual ear pick with built-in WiFi, lighting supplementation, and camera functions includes the following steps: step I, components of the device include a camera module, a lighting supplementation system, a WiFi module, a processor, a storage unit, and a user interface;step II, application functions include image recognition, real-time displaying, and reminding;step III, wireless upgrade functions include firmware update and wireless transmission; andstep IV, a user quickly establishes connection to an application through a QR code or by entering a device ID, and the user turns on/turns off a camera to adjust brightness by performing an operation of controlling a device through the application. In a further technical solution of the present disclosure, a high-resolution camera is arranged in the camera module to capture an image inside the ear canal; the lighting supplementation system includes a light-emitting diode (LED) lamp or another light source to provide sufficient lighting in a low-light environment; the WiFi module is configured to achieve wireless connection between the device and a smart phone or another smart device; the processor is configured to: process image data captured by the camera and control other functions of the device; the storage unit is configured to store firmware and user data; and the user interface includes a button or a touch screen for interactions between a user and the device. In a further technical solution of the present disclosure, core assemblies of the camera module include a processing chip, a control chip, a power supply management chip, and two groups of data encryption chips; the processing chip is in communication connection with the control chip to cooperatively work; the processing chip is matched with an external interface, the WiFi module, and a Serial Peripheral Interface (SPI) flash memory; the control chip is connected to a Complementary Metal-Oxide-Semiconductor Transistor (CMOS) module; the power supply management chip is electrically connected to the processing chip and the control chip; the two groups of data encryption chips respectively serve the processing chip and the control chip; the design enables the processing chip and the control chip to complement advantages; and a chip S3C2410 is used for assisting in processing to reduce a load on a Central Processing Unit (CPU) ASC8850, improve the efficiency of the CPU, achieve