AI Headlamp Activity Detection for Adaptive Beam Geometry
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Solution Overview
Problem
Traditional headlamps require manual adjustment of lighting geometry and brightness for different activities, which is time-consuming and unintuitive, and often requires pre-setting through apps or computers, failing to adapt to individual user preferences effectively.
Innovation Solution
A portable headlamp equipped with an AI unit that automatically classifies user activities using sensors and adjusts the light beam's geometry and brightness based on pre-defined algorithms or machine learning, eliminating the need for manual settings and allowing for user-specific training data to enhance personalization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustment of lighting geometry and brightness is used for different activities, then the headlamp can be controlled, but it is time-consuming and unintuitive
Solution Approach 1:
The headlamp automatically detects user activities through sensors (accelerometer, gyroscope, proximity sensor) and autonomously adjusts lighting parameters without requiring manual user input. The system serves itself by classifying activities and applying appropriate lighting profiles automatically.
Solution Approach 2:
The patent replaces manual mechanical adjustment with electronic sensor-based detection and automated control algorithms. Sensors detect physical movements and environmental conditions, which are then processed by microcontrollers to automatically adjust LED brightness and beam geometry, substituting manual operation with electronic automation.
2Adaptability or versatility
If pre-setting through apps or computers is used to configure lighting modes, then specific activity profiles can be created, but it requires additional devices and is not intuitive
Solution Approach 1:
The headlamp integrates multiple functions into a single device: activity detection through sensors, automatic classification algorithms, and adaptive lighting control all reside within the headlamp itself. This eliminates the need for external smartphones or computers, making the system self-sufficient and universally applicable to various activities.
Solution Approach 2:
The patent extracts the configuration functionality from external devices (smartphones, computers) and embeds it directly within the headlamp. The activity classification and lighting profile management are now intrinsic to the headlamp system, removing the dependency on external configuration tools.
3Adaptability or versatility
If multiple light sources with different beam geometries are used, then lighting can be adapted to different activities, but the device complexity increases
Solution Approach 1:
The patent employs dynamically adjustable lighting elements that can change beam geometry and brightness in real-time based on detected activities. Instead of using multiple fixed light sources, the system uses controllable LEDs with adjustable characteristics, allowing a single light source to perform multiple functions through dynamic adjustment.
Data Source
AI summary
A portable lamp, preferably a headlamp, which is adapted to be worn or carried by a user, comprising: at least one light source, an AI unit, wherein the AI unit comprises an activity classification unit and a control unit, wherein said activity classification unit is able to automatically classify an activity which the user is currently carrying out without any manual setting by the user, wherein said control unit is adapted to control the beam of said at least one light source at least based on the classified activity of the user.