AI Light Therapy Device with Rotating Projection for Body Coverage
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Solution Overview
Problem
Current at-home light therapy devices for skin and body treatments are often cumbersome, limited in their ability to provide full-body coverage, and lack effective light dispersion, making them inconvenient and less effective for treating various skin and internal body conditions.
Innovation Solution
A portable light therapy device equipped with a camera unit, controlling unit, display unit, and light projection unit that uses AI and machine learning to identify body conditions and automatically project specific light therapies, allowing for full-body treatment with minimal user intervention and advanced light dispersion techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Weight of moving object
If traditional at-home light therapy devices are used, then portability is improved, but treatment coverage and light dispersion effectiveness deteriorate
Solution Approach 1:
The light projection unit is divided into multiple independent light sources (LED array or laser diode array) that can be individually controlled. Each light source covers a specific segment of the treatment area, and collectively they provide full-body coverage while maintaining device portability.
Solution Approach 2:
The device transitions from a single-point or small-area light source to a multi-dimensional light projection system that can cover large body surfaces. The light projection unit distributes light across multiple dimensions (width, height, and depth) to achieve comprehensive treatment coverage.
2Device complexity
If manual targeting is used in existing devices, then device complexity is reduced, but treatment precision and effectiveness deteriorate
Solution Approach 1:
The camera unit captures real-time images of the treatment area, and the processing unit analyzes these images to automatically determine the precise treatment location and parameters. This feedback loop enables accurate targeting without requiring manual positioning by the user.
Solution Approach 2:
The device performs self-targeting by automatically identifying treatment areas through image capture and analysis. The system serves itself by autonomously determining where to apply light therapy based on captured images, eliminating the need for manual user intervention in positioning.
3Device complexity
If fixed light projection is used, then device structure is simplified, but adaptability to different body conditions deteriorates
Solution Approach 1:
The light projection system dynamically adjusts its parameters (wavelength, intensity, duration, projection pattern) based on the detected body condition. The controlling unit modifies the light projection in real-time according to the analyzed treatment requirements, enabling adaptation to various skin and internal body conditions.
Solution Approach 2:
The device changes multiple light parameters (wavelength selection from different LED/laser diodes, intensity levels, exposure duration, projection area) based on the detected condition. This parameter variability allows the same device to treat diverse conditions such as acne, wrinkles, rosacea, and internal body issues.
4Measurement precision
If comprehensive body analysis is performed, then treatment accuracy is improved, but device complexity and processing requirements deteriorate
Solution Approach 1:
The camera unit and processing unit serve multiple functions: capturing images, analyzing skin conditions, identifying internal body issues, determining treatment parameters, and controlling light projection. This multi-functionality reduces the need for separate specialized components for each function.
Solution Approach 2:
The processing unit acts as an intermediary between the camera unit (detection) and the light projection unit (treatment). It processes the captured images, identifies treatment targets and parameters, and translates this information into control signals for the light projection system, simplifying the overall system integration.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The device provides efficient and convenient treatment for various skin and body conditions by using AI to identify and target specific areas with appropriate light therapy, offering improved coverage and effectiveness compared to existing at-home devices.
Implementation Method 1
the light source is selected from a group of LED light, a laser light, an Infrared light, UV Light, an electromagnetic light or any other suitable light that helps in body treatment
Implementation Method 2
the light source is selected from a group of LED light, a laser light, an Infrared light, UV Light, an electromagnetic light or any other suitable light that helps in body treatment
Implementation Method 3
the light source is selected from a group of LED light, a laser light, an Infrared light, UV Light, an electromagnetic light or any other suitable light that helps in body treatment
Implementation Method 4
the light source is selected from a group of LED light, a laser light, an Infrared light, UV Light, an electromagnetic light or any other suitable light that helps in body treatment
Data Source
AI summary
The invention provides a light therapy device for providing therapeutic treatment to a user's body, wherein the user may be a person or an animal. The device is using a light projection method for treating the body problems and/or skin disorders. Further, the device is having a rotatable assembly that automatically follows the movement of the desired area of the body needs to be treated. The device uses artificial intelligence, machine learning, localization modules, object detection module, image processing module, and 3D-mapping to automatically identify and treating the desired area of the body. Furthermore, the user can manually identify, select and prioritize desired treatment portion and can select the type of treatment required.