基于AI识别的宠物空气净化器及其控制方法
By combining multimodal sensing with a lightweight CNN model, accurate pollution source identification and adaptive purification control of pet air purifiers are achieved, solving the problems of high misjudgment rate, easy filter clogging and single purification strategy of pet air purifiers, and providing a high-efficiency, low-noise and pet-friendly purification solution.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- QINGDAO LONDS ENVIRONMENTAL TECH CO LTD
- Filing Date
- 2026-04-21
- Publication Date
- 2026-07-17
AI Technical Summary
Existing pet air purifiers lack multimodal perception and artificial intelligence decision-making capabilities, resulting in problems such as high misjudgment rate, easy filter clogging, single purification strategy, and easy to cause stress to pets, making it difficult to meet the complex and ever-changing purification needs of pet families.
It employs a multimodal sensing module (environmental parameter sensor, camera unit, millimeter-wave radar unit) and a lightweight CNN multimodal fusion model, combined with an AI recognition module and a control module, to achieve accurate recognition and adaptive control of pet behavior and environment, and dynamically adjust fan speed and purification mode.
It achieves low false positive rate pollution source identification, avoids filter clogging, ensures pet comfort, provides multiple adaptive purification modes, reduces noise and energy consumption, and ensures real-time response and privacy protection.
Smart Images
Figure CN122397641A_ABST