Fish Flashing & Scraping Detection (Ectoparasite Warning) | 鱼类擦缸/蹭底行为识别（外寄）
v1.0.0Through fixed aquarium cameras, the system analyzes fish behavior videos and detects abnormal frictional actions between fish bodies and tank walls, substrate, or rockwork — 'flashing' (fish flipping sideways and brushing tank walls rapidly) and 'scraping' (fish belly/flank rubbing on substrate). The system counts abnormal contact frequency per minute. When the frequency exceeds a threshold (default 5/min) AND persists for over 10 seconds, the system outputs an 'ectoparasite risk warning', prompting the user to check for parasitic infections (such as ich, trichodina, gyrodactylus) or skin irritation. Application scenarios: home aquariums, public aquariums, quarantine tanks, aquaculture ponds. The system monitors in real time and pushes alerts when frequent flashing/scraping is detected. Skill features: white-spot disease, trichodiniasis and other ectoparasitic conditions only show flashing/scraping in their EARLIEST stage. Timely intervention can avoid mass mortality. AI-based real-time monitoring helps aquarists discover and treat early, reducing losses. This skill can be integrated into smart aquarium cameras or fish disease early-warning systems. | 通过鱼缸固定摄像头，分析鱼类的行为视频，检测鱼体与缸壁、底砂、造景石等物体的异常摩擦动作（擦缸：鱼体侧身快速蹭过缸壁；蹭底：鱼体腹部或侧面贴底砂摩擦）。统计每分钟的异常接触频次，当频次超过阈值（默认 5 次/分钟）且持续时间超过 10 秒时，输出'外寄风险提示'，提醒用户检查是否有寄生虫（如小瓜虫、车轮虫、三代虫）感染或皮肤不适。应用场景：家庭鱼缸、水族馆、检疫缸、养殖池。系统实时监测，当发现频繁擦缸/蹭底时推送预警。技能特点：白点病、车轮虫病等外寄疾病在早期仅表现为擦缸、蹭底，若及时干预可避免大规模死亡。通过 AI 实时监测并提醒，可帮助养鱼者早发现、早治疗，降低损失。该技能可集成到智能鱼缸摄像头或鱼病预警系统中。
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