Fish Surface Symptom (White-spot / Hyperemia / Fin-rot) Detection | 鱼类体表白点/充血/烂尾识别

Through fixed cameras on aquariums or underwater cameras capturing high-definition fish images, the system uses AI vision analysis to detect abnormal symptoms on the fish body surface: white-spot disease (white spots of about 0.5-1mm in diameter, salt-grain like), hyperemia (red blood streaks or patches on skin or fin bases), and fin-rot (tail-fin edges turning white, ragged or rotting). The system outputs detected symptom types and confidence scores. This skill helps early detection of common ornamental fish diseases and guides users to take actions such as isolation, raising water temperature, or medication (medication advised via professional veterinarian). Application scenarios: home aquariums, public aquariums, ornamental fish farms. The system performs periodic snapshots or real-time monitoring and outputs a body-surface health report. Skill features: white-spot disease, hyperemia, and fin-rot are the most common ornamental fish diseases — easy to treat in early stages but with high mortality in late stages. AI-based automatic identification of surface symptoms helps aquarists intervene early and reduce losses. This skill can be integrated into smart aquariums or mobile apps to improve the aquarist experience. | 通过鱼缸固定摄像头或水下摄像头拍摄鱼类高清图像，利用 AI 视觉分析技术检测鱼体表面的异常症状：白点病（白色点状物，直径约 0.5-1mm，类似盐粒）、充血（皮肤或鳍条基部出现红色血丝或斑块）、烂尾（尾鳍边缘发白、残缺、腐烂）。输出检测到的症状类型及置信度。该技能有助于早期发现观赏鱼常见疾病，指导用户采取隔离、升温、用药（用药请咨询专业水族兽医）等措施。应用场景：家庭鱼缸、水族馆、观赏鱼养殖场。系统定期拍摄或实时监测，输出体表健康报告。技能特点：白点病、充血、烂尾是观赏鱼最常见的疾病，早期发现易治疗，晚期死亡率高。通过 AI 自动识别体表症状，可帮助养鱼者及早干预，降低损失。该技能可集成到智能鱼缸或手机 APP 中，提升养鱼体验。

by @18072937735 (smyx-skills)·MIT-0