AI energy recommendation algorithm system special for laser melatonizing instrument and training method
By applying an AI energy recommendation algorithm system in laser hair removal instruments, combining the user's numerical information and skin image information, laser energy parameter settings are automatically generated, which solves the problems of insufficient personalization and low safety in the existing technology, and achieves higher precision personalized recommendations and safer laser hair removal effects.
CN119632667APending Publication Date: 2025-03-18BEIJING ADSS DEV
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Patent Information
- Application Number
- CN202411705277.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-26
- Publication Date
- 2025-03-18
AI Technical Summary
Technical Problem
In the existing laser hair loss technology, the setting of laser parameters depends on the operator's subjective judgment, resulting in insufficient personalization, low safety and inconsistent results.
Method used
Develop an AI energy recommendation algorithm system dedicated to laser hair loss instruments. By combining the user's numerical information and skin image information, a multimodal deep learning model is used to automatically generate laser energy parameter settings suitable for users.
Benefits of technology
It improves the accuracy of personalized recommendations for laser hair loss, enhances user safety and experience, optimizes the laser hair loss effect, and reduces the risk of skin damage.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses an AI energy recommendation algorithm system special for a laser melatonizing instrument and a training method, and relates to the technical field of medical cosmetology and artificial intelligence crossing. Comprising an input data preparation module, a model structure design module, a feature fusion module, an energy value prediction module, a loss function design module, a model training module, a model evaluation module and a result output module. According to the AI energy recommendation algorithm system special for the laser melatonizing instrument and the training method, laser energy parameter setting suitable for a user is automatically generated by combining numerical characteristics such as gender, age and race of the user and skin image information; the system not only solves the problem of dependence on experience of operators in the prior art, but also can improve the accuracy and individuation degree of energy parameter recommendation, thereby optimizing the effect of laser dehairing and enhancing the safety and experience of users.
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