Smart Shaving Accessory Camera Feedback
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Solution Overview
Problem
Users face challenges in determining their unique physical characteristics and ensuring adequate shaving, as existing methods lack precision in tailoring shaving razors and assessing shaving effectiveness.
Innovation Solution
A smart shaving system equipped with a camera and IoT connectivity, allowing for real-time feedback and optimization of shaving techniques through a wearable computer device and razor accessory, which analyzes skin and hair characteristics, and provides recommendations on razor and cartridge selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual inspection or camera is used to determine physical characteristics, then the method is simple, but the precision and accuracy are insufficient
Solution Approach 1:
The patent replaces manual visual inspection with an automated image recognition system using cameras and machine learning algorithms. The system captures images of the user's skin and hair, then uses trained neural networks to automatically analyze and determine physical characteristics such as skin type, hair thickness, and facial structure, achieving high precision without requiring complex manual measurement devices.
Solution Approach 2:
The patent creates a digital copy or virtual model of the user's physical characteristics through image processing. By capturing multiple images and generating a computational representation of skin texture, hair properties, and facial geometry, the system enables precise analysis and repeated evaluation without physically touching or altering the user's features.
2Measurement precision
If traditional shaving methods are used, then the operation is simple, but the ability to assess shaving effectiveness is insufficient
Solution Approach 1:
The patent implements a feedback mechanism where the camera captures images before and after shaving, the system analyzes the difference in hair removal completeness, and provides real-time feedback to the user. The image recognition algorithm compares the post-shave image with the pre-shave image to determine which areas need additional shaving passes, enabling precise assessment of shaving effectiveness.
Solution Approach 2:
The patent replaces subjective visual assessment of shaving completeness with objective image analysis. The system uses computer vision algorithms to detect remaining hair, skin irritation, and shaving uniformity, providing quantifiable metrics for shaving effectiveness that are more accurate than human visual inspection.
3Adaptability or versatility
If personalized shaving recommendations are provided, then the shaving optimization is improved, but the system complexity increases
Solution Approach 1:
The patent performs preliminary analysis of the user's physical characteristics using image recognition before providing shaving recommendations. The system pre-processes images to extract features such as skin type, hair growth patterns, and facial structure, then uses this pre-analyzed data to generate personalized razor selections and shaving technique recommendations, avoiding the need for complex real-time calculations during the actual shaving process.
Solution Approach 2:
The patent enables the system to automatically generate personalized recommendations without requiring manual input from the user. The image recognition system self-analyzes the captured images, automatically determines physical characteristics, and generates tailored shaving advice including razor type recommendations and technique guidance, making the personalization process autonomous and reducing system complexity.
Data Source
AI summary
The present disclosure provides a razor accessory with a camera to assist the user of a shaving razor, which razor accessory is configured to be mechanically attached to the shaving razor. The razor accessory may be provided with sensors to track the shaving movements of a user. The present disclosure also provides an application for a wearable computer device to track the shaving movements of a user. The razor accessory and/or the wearable computer is communicatively connected to a vendor platform via an Internet-of-Things (IoT) gateway, which may provide feedback to assist and optimize the user's shaving experience.