🦎 Reptile Tail Loss (Autotomy) Detection | 守宫/蜥蜴尾巴断尾识别

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🧭 技能概览 | Overview

Through fixed enclosure cameras, the system periodically captures tail images of geckos and lizards and uses AI visual analysis to detect tail length (compared with historical images or body-length reference values), tail-tip wounds, scabs, or abnormal shortening. When the tail is found to have shortened significantly (e.g. > 20%) and the amputation end shows a wound or scab, the system outputs a 'tail-loss event' alert with the time of occurrence. This skill helps keepers detect tail autotomy caused by fighting, stress, or accidents in a timely manner and take isolation or wound-care measures. Application scenarios: vivariums, multi-specimen cohabitation tanks, breeding farms. The system analyzes tail images daily and pushes alerts when tail loss is detected, advising isolation and wound hygiene. Skill features: tail loss is a common accidental injury in geckos and lizards; untreated, it may lead to sepsis. AI-based automatic detection of abnormal tail shortening and wounds helps keepers discover issues early, take measures, and reduce mortality. This skill can be integrated into smart vivarium cameras.

通过爬宠箱固定摄像头，定期拍摄守宫、蜥蜴等爬行动物的尾部图像，利用 AI 视觉分析技术检测尾巴长度（与历史图像或同体长参考值对比）、尾部尖端伤口、结痂或异常短缩。当检测到尾巴长度突然明显缩短（例如缩短超过 20%）、尾部断端可见伤口或结痂时，输出'断尾事件'提示，记录发生时间。该技能有助于饲养者及时发现因争斗、应激或意外导致的尾巴折断，采取隔离或伤口处理措施。应用场景：爬宠箱、多只混养缸、繁殖场。系统每日自动分析尾部图像，当发生断尾时推送提醒，建议隔离受伤个体并消毒伤口。技能特点：断尾是守宫、蜥蜴常见的意外伤害，若未及时处理可能引发败血症。通过 AI 自动识别尾部异常缩短和伤口，可帮助饲养者及早发现，采取措施，降低死亡率。该技能可集成到智能爬宠箱摄像头中。