Security intelligence for the agent supply chain

Detects whether anyone has fallen within a specified target area. Supports both image and short video analysis. Suitable for scenarios such as home care for elderly people living alone and safety monitoring in nursing homes. | 检测目标区域内是否有人跌倒

Detects whether anyone has fallen within a target area. Supports video stream analysis and is suitable for real-time safety monitoring of elderly people living alone. | 跌倒检测视频版技能，检测目标区域内是否有人跌倒，支持视频流检测，适用于独居老人居家安全监测

Identifies acquaintances in videos or images through face photo comparison. Supports database enrollment, and the recognition results tell you who is at which location. Suitable for identity verification in homes and office areas. | 熟人识别分析技

Identifies weed species and coverage density from field top-view images, and outputs a weed distribution heatmap dataset to support precision weeding decisions. | 通过田间图像识别杂草种类与覆盖密度，生成除草建议区域热力图。

Monitors farrowing and poultry hatching events from continuous videos of farrowing pens or hatching areas — detecting key milestones such as water breaking,...

Analyzes fixed-camera videos of feeders and waterers to quantify livestock feeding duration, feeding bouts and drinking frequency, comparing them against individual baselines to raise behavior anomaly alerts. | 通过视频统计畜禽采食时长、饮水频次，异常时预警。

Estimates daily feed intake per livestock individual from continuous feeder videos by tracking the change of feed remaining in the trough, and outputs intake trend with anomaly alerts. | 通过食槽视频估算每日采食量变化，异常时预警。

Real-time detection of flames and smoke in video and image scenes. Suitable for fire early warning in industrial parks, forests, warehouses, and other locations. | 火情烟雾检测技能，实时检测视频/图片场景中的火焰、烟雾，适用于工业园区、森林、仓库等场所火情预警

Detects fire and smoke in video scenes. Supports both video stream and image analysis. Suitable for fire early warning scenarios such as security surveillance, forest fire prevention, and industrial parks. | 烟火检测技能，对视频场景中火情和烟雾进行检测，支持视频流和图片检

Through breeding-tank fixed cameras (macro lens), the system periodically captures high-definition images of fish eggs and uses AI vision analysis to detect egg color changes (transparent → white / black) and embryonic eye-spots (small blac

Through built-in cameras of smart feeders or fixed cameras on aquariums, the system captures fish feeding videos after feeding. Using AI object detection and motion analysis, it identifies the number of fish gathering for food, feeding inte

Through 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

Through fixed aquarium cameras, the system analyzes fish behavior near the water surface, detecting repeated mouth-out-of-water (gasping), rapid mouth opening/closing (fast respiration) and exaggerated operculum (gill cover) movement — clas

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 dia

AI-powered flowering-date prediction for ornamental/cut-flower plants. From fixed greenhouse cameras or drones, captures images of flower-bud developmental stages, combines environmental sensor data — cumulative temperature (Growing Degree

Real-time detection of gaze direction and facial pose to quantify states of focus, distraction, or mind-wandering. Suitable for scenarios such as classroom learning, office meetings, and driving attention monitoring. | 专注度分析技能，实时检测视线方向、面部姿态

Through fixed cameras in rainforest tanks or vivariums, the system captures high-definition images of the dorsal or lateral skin of frogs (such as tree frogs, horned frogs, dart frogs), and uses AI visual analysis to detect skin glossiness

Triggers when a user provides a pet side-view walking video URL or file for analysis; uses AI pose estimation to track limb joint trajectories, analyzes stri...

Triggers when a user provides a pet grooming area video or image URL/file for analysis; supports local uploads or network URLs to call server-side APIs for coat condition and shed hair recognition, detecting matting area ratio and shed hair

Uses visual AI on frontal faces to recognize multi-dimensional emotions like happiness, sadness, depression, calmness, anger, surprise, and fear in real-time. Supports emotion intensity quantification and abnormal emotion marking, suitable

Using the built-in microphone of a baby monitor or smart camera to capture infant cry audio, AI acoustic analysis extracts cry features such as frequency, pitch, rhythm, and duration, and classifies the possible causes behind the cry (hunge

Identifies prone sleeping positions, head covering, and occlusion of the mouth/nose by bedding or clothing; provides real-time high-risk alerts to safeguard infant sleep safety. | 婴儿趴睡窒息预警技能，识别俯卧睡姿、蒙头、口鼻被被褥/衣物遮挡，高风险实时报警，守护婴儿睡眠安全

Using a fixed indoor camera to continuously capture leaf images of houseplants from the same angle every day, AI vision techniques detect leaf color changes (green → yellow → brown), loss of glossiness (reduced surface reflectance), and for

Using agricultural cameras to capture high-resolution images of plant leaves, AI vision techniques detect leaf curling direction (up-curling or down-curling) and the distribution of leaf-margin scorch (old vs new leaves, tip vs margin). | 通

Using a fixed camera in the living room or bedroom of a person living alone, the system continuously analyzes night video (typically 22:00-06:00) to detect lights-off time (when light sources turn off) and early-morning activity (human move

Using a neonatal monitor or baby camera, the system captures high-resolution facial images of the newborn and uses AI visual analysis to detect sclera color (white in normal babies, yellow when jaundiced) and facial skin yellowness index (b

Using a fixed camera in the office (aimed at the workstation), the system analyzes office workers' sitting-posture video in real time, detecting continuous sitting duration, neck forward angle (head offset relative to shoulders), and back c

Detects targets such as people, vehicles, non-motorized vehicles, and pets within target areas; supports batch image analysis, suitable for outdoor surveillance scenarios like courtyards, orchards, and farms. | 户外看护智能监测分析技能，检测目标区域内的人、车、非机动车

Detects the presence of delivery packages within the target surveillance area; suitable for inventory checks and unattended alerts at community stations, residential entrances, and office building lobbies. | 包裹检测技能，检测目标监控区域内是否出现快递包裹，适用于社区驿站

Identifies abnormal behaviors such as limb tremors, convulsions, stiffness, and gait abnormalities through video recognition, assisting in home risk monitoring for patients with chronic conditions. | 帕金森癫痫行为识别技能，通过视频识别肢体震颤、抽搐、僵硬、步态异常等异常行为，辅

Identifies common abnormal pet behaviors such as scratching, biting, destructive chewing, jumping, digging, chasing, and separation anxiety, helping owners understand their pet's habits. | 宠物行为识别技能，识别抓挠、啃咬、拆家、跳跃、刨地、追逐、独处焦虑等常见宠物异常行为，帮助主人了解宠物

Identifies obesity, emaciation, external injuries, skin abnormalities, and abnormal mental states, helping pet owners detect health issues promptly. | 宠物体态健康分析技能，识别肥胖、消瘦、外伤、皮肤异常、精神状态异常，帮助宠物主人及时发现宠物健康问题

Accurately identifies cat and dog breeds and supports distinguishing between different individuals in multi-pet households; an essential assistant for intelligent pet butlers. | 宠物品种个体识别技能，精准识别猫狗宠物品种，支持多宠家庭区分不同独立个体，智能宠物管家好帮手

Automatically triggers soothing mechanisms (playing relaxing sounds, activating laser toys) when pet anxiety, howling, or prolonged loneliness is detected; a smart companion for pet care. | 宠物安抚触发技能，检测到宠物焦虑、嚎叫、长时间孤独时，自动触发安抚机制（播放舒缓音效、开启激光逗宠）

Triggers when a user provides a video of a pet inside an airline carrier/crate for analysis; supports local uploads or network URLs to call server-side APIs for respiratory rate monitoring, detecting chest/abdomen rise-fall cycles to calcul

Triggers when a user provides a cat climbing frame / cat tree area video URL or file for analysis; supports local video uploads or network URLs to call server-side APIs for multi-region activity recognition, analyzing dwell time on each lay

Detects cats, dogs, and birds appearing in the target area; supports video stream and image detection, suitable for home pet monitoring scenarios. | 宠物检测技能，检测出目标区域内出现的猫、狗、鸟，支持视频流和图片检测，适用于家庭宠物监控场景

Triggers when a user provides a pet drying box area video URL or file for analysis; supports local video uploads or network URLs to call server-side APIs for pet heat stress signal detection, analyzing open-mouth panting intensity, tongue c

Triggers when a user provides a video of the pet food-bowl area for analysis; supports local uploads or network URLs to call server-side APIs for eating-speed detection, recording start/end timestamps of feeding, estimating eating speed (g/

Triggers when a user provides a pet grooming session video URL or file for analysis; supports local video uploads or network URLs to call server-side APIs for stress behavior recognition, detecting struggling, panting, tail tucking and othe

Based on computer vision, analyzes pet health indicators such as feeding frequency, drinking frequency, excretion status, mental state, vomiting behavior, and limping abnormalities through camera/feeder monitoring videos, promptly detects a

Triggers when a user provides a pet hospital waiting area video URL or file for analysis; supports local video uploads or network URLs to call server-side APIs for anxiety-related behavior recognition, detecting open-mouth panting intensity

Triggers when a user provides an oral snapshot image/video of a pet (usually auto-captured during yawning, lip-licking or mouth-opening moments) for analysis; supports local uploads or network URLs to call server-side APIs for oral health r

Triggers when a user provides an indoor camera video for analysis; supports local uploads or network URLs to call server-side APIs for pet pica-behavior recognition, detecting contact between the pet's mouth and non-food hazardous items (el

Triggers when a user provides an image/video URL or file of dog toilet area or outdoor dog-walking path for analysis; supports local uploads or network URLs to call server-side APIs for pet stool morphology recognition, analyzing stool colo

Triggers when a user provides a pet toy area video URL or file for analysis; supports local video uploads or network URLs to call server-side APIs for toy in...

Triggers when a user provides a training-area video of a pet for analysis; supports local uploads or network URLs to call server-side APIs for command-execution recognition, detecting whether the pet's body posture matches the issued comman

AI-powered pet treadmill exercise intensity analysis combined with optional heart-rate band data. Detects stride frequency, limb extension, and respiratory r...

AI-powered plant leaf disease identification from high-resolution leaf images. Detects disease lesion features (color, shape, distribution, surface deposits) such as white powdery patches (powdery mildew), rust-colored spore pustules (rust)

Accurately identifies plant species from images based on deep learning and computer vision, outputs structured information including species name, family, gr...