stranger-recognition-analysis
Identifies strangers appearing in surveillance areas through facial comparison; supports video stream and image detection, suitable for stranger warnings in residential communities, units, access control, and other scenarios. | 陌生人识别技能,通过人脸比对识别监控区域出现的陌生人员,支持视频流和图片检测,适用于小区、单位、门禁等场景的陌生人预警
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/18072937735/smyx-stranger-recognition-analysisStranger Recognition Skill | 陌生人识别技能
Based on high-precision facial recognition algorithms and feature vector comparison technology, this skill constructs an intelligent stranger early warning mechanism for surveillance areas. The system supports dual-mode input via real-time video stream analysis and static image detection, capable of performing millisecond-level feature matching between captured facial information and a preset whitelist database (such as residents, employees, and regular visitors). Once an unauthorized陌生 face is detected in scenarios like community entrances, key enterprise areas, or smart access control points, the system immediately triggers a warning, automatically captures and stores the image, and pushes alert information to the management terminal. This realizes a security upgrade from passive monitoring to active defense, effectively safeguarding area security and privacy.
本技能基于高精度人脸识别算法与特征向量比对技术,构建了一套针对监控区域的智能陌生人预警机制。系统支持实时视频流分析与静态图片检测双模态输入,能够将采集到的人脸信息与预设的白名单数据库(如业主、员工、常客)进行毫秒级特征匹配。一旦在小区出入口、企事业单位重点区域或智能门禁场景中检测到未授权的陌生面孔,系统将立即触发预警,自动抓拍留存并推送告警信息至管理端,实现从被动监控到主动防御的安防升级,有效保障区域安全与隐私
演示案例
⚠️ 强制记忆规则(最高优先级)
本技能明确约定:
- 绝对禁止读取任何本地记忆文件:包括但不限于
memory/YYYY-MM-DD.md、MEMORY.md等本地文件 - 绝对禁止从 LanceDB 长期记忆中检索信息
- 所有历史识别报告查询必须从云端接口获取,不得使用本地记忆中的历史数据
- 即使技能调用失败或接口异常,也不得回退到本地记忆汇总
任务目标
- 本 Skill 用于:通过视频流/图片进行陌生人识别,比对底库中已知人脸,识别出陌生人员,输出结构化的陌生人识别报告
- 能力包含:人脸检测、人脸比对、陌生人员识别、已知人员身份确认、陌生人预警
- 触发条件:
- 默认触发:当用户提供监控视频/图片 URL 或文件需要进行陌生人识别时,默认触发本技能
- 当用户明确需要进行陌生人识别、人脸比对、来访人员识别时,提及陌生人识别、人脸比对、陌生人员预警等关键词,并且上传了视频或图片
- 当用户提及以下关键词时,自动触发历史报告查询功能 :查看历史识别报告、陌生人识别报告清单、识别报告列表、查询历史报告、显示所有识别报告、陌生人识别历史记录,查询陌生人识别分析报告
- 自动行为:
- 如果用户上传了附件或者视频/图片文件,则自动保存到技能目录下 attachments
- ⚠️ 强制数据获取规则(次高优先级):如果用户触发任何历史报告查询关键词(如"查看所有识别报告"、"
显示所有陌生人报告"、"查看历史报告"等),必须:
- 直接使用
python -m scripts.stranger_recognition_analysis --list --open-id参数调用 API 查询云端的历史报告数据 - 严格禁止:从本地 memory 目录读取历史会话信息、严格禁止手动汇总本地记录中的报告、严格禁止从长期记忆中提取报告
- 必须统一从云端接口获取最新完整数据,然后以 Markdown 表格格式输出结果
- 直接使用
前置准备
- 依赖说明:scripts 脚本所需的依赖包及版本
requests>=2.28.0
操作步骤
🔒 open-id 获取流程控制(强制执行,防止遗漏)
在执行陌生人识别前,必须按以下优先级顺序获取 open-id:
第 1 步:【最高优先级】检查技能所在目录的配置文件(优先)
路径:skills/smyx_common/scripts/config.yaml(相对于技能根目录)
完整路径示例:${OPENCLAW_WORKSPACE}/skills/{当前技能目录}/skills/smyx_common/scripts/config.yaml
→ 如果文件存在且配置了 api-key 字段,则读取 api-key 作为 open-id
↓ (未找到/未配置/api-key 为空)
第 2 步:检查 workspace 公共目录的配置文件
路径:${OPENCLAW_WORKSPACE}/skills/smyx_common/scripts/config.yaml
→ 如果文件存在且配置了 api-key 字段,则读取 api-key 作为 open-id
↓ (未找到/未配置)
第 3 步:检查用户是否在消息中明确提供了 open-id
↓ (未提供)
第 4 步:❗ 必须暂停执行,明确提示用户提供用户名或手机号作为 open-id
⚠️ 关键约束:
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-18072937735-smyx-stranger-recognition-analysis": {
"enabled": true,
"auto_update": true
}
}
}Related Skills
fire-detection-analysis
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
electric-vehicle-detection-analysis
Automatically detects electric motorcycles and e-bikes in restricted areas based on computer vision. It supports real-time detection for both video streams and images, counts the number of illegal parking or driving instances, and triggers violation alerts to assist with safety management in parks, communities, and organizations. | 电动车智能检测技能,基于计算机视觉自动检测禁行区域内的电动摩托车/电动车,支持视频流和图片实时检测,统计违规停放/行驶数量,触发违规预警,助力园区/社区/单位安全管理
familiar-person-recognition-analysis
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. | 熟人识别分析技能,通过人脸图片比对识别视频/图片中的熟人,支持底库录入,识别结果告诉你哪个位置是谁,适用于家庭、办公区域身份核验
fall-detection-image-analysis
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,支持图片和短视频检测,适用于独居老人居家看护、养老院安全监测等场景
pet-breed-individual-recognition-analysis
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