🦎 Reptile Shedding Progress Analysis | 爬宠蜕皮进度识别

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🧭 技能概览 | Overview

Through a fixed camera in the reptile enclosure, the system periodically captures full-body high-definition images of reptiles (snakes, lizards, geckos) and uses AI visual analysis to detect changes in body colour (normal vivid → dull/whitish → restored vivid) and eye state (clear → opaque milky 'blue-phase' → clear again), to determine the shedding phase: preparation phase (skin turns whitish, eyes turn opaque), in-progress phase (head or local areas begin to shed), and completion phase (old skin completely detached, body colour restored). This skill helps keepers monitor shedding progress and timely increase humidity, provide rough surfaces to aid shedding, and avoid complications such as stuck shed (dysecdysis). Application scenarios: reptile enclosures, vivaria, reptile breeding farms. The system automatically analyses every day or every half day and outputs the shedding phase together with care recommendations. Skill features: shedding is a normal physiological process in reptiles, but insufficient humidity or lack of rough objects can cause stuck shed, which in severe cases may lead to amputation or infection. AI-based automatic identification of the preparation phase and timely reminders can guide keepers to adjust the environment, reducing the risk of stuck shed and improving pet welfare. This skill can be integrated into smart reptile-enclosure cameras or reptile management apps.

通过爬宠箱固定摄像头，定期拍摄爬行动物（如蛇、蜥蜴、守宫）的全身高清图像，利用 AI 视觉分析技术检测体表颜色变化（正常体色 → 发白/灰白 → 恢复鲜艳）以及眼部状态（透明 → 浑浊灰白 → 再次透明），判断蜕皮阶段：准备期（皮肤发白、眼睛浑浊）、进行期（头部或局部开始蜕皮）、完成期（旧皮完全脱离，体色恢复）。该技能有助于饲养者掌握蜕皮进程，适时增加湿度、提供粗糙表面辅助蜕皮，避免卡皮等并发症。应用场景：爬宠箱、饲养缸、爬行动物养殖场。系统每日或每半日自动分析，输出蜕皮阶段及护理建议。技能特点：蜕皮是爬行动物正常生理现象，但湿度不足或缺乏摩擦物会导致卡皮，严重时可致残或感染。通过 AI 自动识别蜕皮准备期并及时提醒，可指导饲养者调整环境，降低卡皮风险，提升宠物福利。该技能可集成到智能爬宠箱摄像头或爬宠管理 APP 中。