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jf-open-pro-device-human-detection

by jftech · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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/install jf-open-pro-device-human-detection
Description
杰峰设备人形检测技能(开发版)。支持人形检测开关设置、人形检测灵敏度设置、云台设备人形追踪开关设置等功能。
README (SKILL.md)

jf-open-pro-device-human-detection - 杰峰设备人形检测技能(开发版)

技能描述

支持杰峰设备的人形检测和追踪功能,基于杰峰开放平台 OpenAPI 实现:

  • 人形检测开关设置 - 开启/关闭人形检测报警
  • 人形检测灵敏度设置 - 调节检测灵敏度(低/中/高)
  • 人形追踪开关设置 - 开启/关闭云台自动追踪人形
  • 人形追踪灵敏度设置 - 调节追踪灵敏度
  • 追踪返回时间设置 - 设置无人时返回守望位的时间

触发词

  • 查询人形检测配置 / 设置人形检测开关 / 开启人形检测 / 关闭人形检测
  • 设置人形灵敏度 / 查询人形追踪配置 / 设置人形追踪开关
  • 开启人形追踪 / 关闭人形追踪 / 人形跟踪设置

前置条件

必需配置

  1. 签名算法 - 使用杰峰官方移位加密算法生成 signature
  2. 时间戳算法 - counter(7 位) + timeMillis(13 位),实时生成
  3. 设备绑定 - 设备需先绑定到开放平台账号
  4. 云台设备 - 人形追踪功能需要云台设备支持

环境变量

变量名 说明 默认值 必需
JF_UUID 开放平台用户 uuid -
JF_APP_KEY 开放平台应用 appKey -
JF_APP_SECRET 开放平台应用密钥 -
JF_MOVE_CARD 移动卡标识(用于签名) 2
JF_DEVICE_SN 设备序列号 -
JF_DEVICE_TOKEN 设备接口访问令牌 -
JF_ENDPOINT API 接入地址 api-cn.jftechws.com

API 接口

功能 地址 方法 需要 Token 需要在线
获取人形检测配置 POST /gwp/v3/rtc/device/getconfig/{token} POST
设置人形检测配置 POST /gwp/v3/rtc/device/setconfig/{token} POST
获取人形追踪配置 POST /gwp/v3/rtc/device/getconfig/{token} POST
设置人形追踪配置 POST /gwp/v3/rtc/device/setconfig/{token} POST

核心功能

1. 人形检测配置(Detect.HumanDetection)

配置项说明:

字段 类型 说明 取值
Enable boolean 人形检测开关 true=开启,false=关闭
Sensitivity int 检测灵敏度 0=低,1=中,2=高,3=灵敏度数量
PedFdrAlg int 人形人脸算法类型 0=单人形,1=人形 + 人脸,2=人形 + 人脸识别,3=人形 + 车形,4=人形 + 车形 + 人脸,5=宠物
ObjectType int 检测目标类型 0=检测人,1=检测物体
ShowRule boolean 是否叠加人形规则框 true=是,false=否
ShowTrack boolean 是否叠加移动人形框 true=是,false=否
PushInterval int 单人脸推图间隔(毫秒) -1=不推图,其他=间隔时间

警戒规则(PedRule):

字段 类型 说明
Enable boolean 规则是否使能
RuleType int 规则类型(0=警戒线,1=警戒区域)
RuleRegion object 警戒区域参数
RuleLine object 警戒线参数

警戒区域参数:

  • PtsNum: 区域点数(3-8)
  • AlarmDirect: 检测方向(0=进入,1=离开,2=双向)
  • Pts: 坐标点数组(0-8192)
  • Sensitivity: 该区域灵敏度

2. 人形追踪配置(Detect.DetectTrack)

配置项说明:

字段 类型 说明 取值
Enable int 人形追踪开关 0=关闭,1=开启
Sensitivity int 追踪灵敏度 0=低,1=中,2=高
ReturnTime int 返回默认位置时间(秒) 0=不返回,1-600=指定时间

注意: 人形追踪不是报警,只是云台自动跟随人形移动。画面需要正放,识别出人形才能生效。

使用示例

环境准备

# 设置环境变量
export JF_UUID="uuidxxxx"
export JF_APP_KEY="appkeyxxxx"
export JF_APP_SECRET="appsecretxxxx"
export JF_MOVE_CARD=0
export JF_DEVICE_SN="snxxx1"
export JF_DEVICE_TOKEN="NTQ0NzQ3YmE3MXwyYzFk..."
export JF_ENDPOINT="api-cn.jftechws.com"

1. 查询人形检测配置

cd ~/.openclaw/workspace/skills/developer/jf-open-pro-device-human-detection/scripts

python3 human_detection.py --action get-human-detect-config

2. 开启/关闭人形检测

# 开启人形检测
python3 human_detection.py --action set-human-detect-switch --enable true

# 关闭人形检测
python3 human_detection.py --action set-human-detect-switch --enable false

3. 设置人形检测灵敏度

# 设置低灵敏度
python3 human_detection.py --action set-human-detect-sensitivity --level 0

# 设置中灵敏度
python3 human_detection.py --action set-human-detect-sensitivity --level 1

# 设置高灵敏度
python3 human_detection.py --action set-human-detect-sensitivity --level 2

4. 查询人形追踪配置

python3 human_detection.py --action get-human-track-config

5. 开启/关闭人形追踪

# 开启人形追踪
python3 human_detection.py --action set-human-track-switch --enable true

# 关闭人形追踪
python3 human_detection.py --action set-human-track-switch --enable false

6. 设置人形追踪灵敏度

# 设置低灵敏度
python3 human_detection.py --action set-human-track-sensitivity --level 0

# 设置中灵敏度
python3 human_detection.py --action set-human-track-sensitivity --level 1

# 设置高灵敏度
python3 human_detection.py --action set-human-track-sensitivity --level 2

7. 设置追踪返回时间

# 设置 10 秒后返回
python3 human_detection.py --action set-track-return-time --seconds 10

# 设置不返回
python3 human_detection.py --action set-track-return-time --seconds 0

# 设置 5 分钟后返回(300 秒)
python3 human_detection.py --action set-track-return-time --seconds 300

灵敏度说明

人形检测灵敏度

级别 说明 适用场景
低灵敏度 0 检测较宽松,误报少 人员流动频繁区域
中灵敏度 1 平衡检测和误报 一般区域(默认)
高灵敏度 2 检测更敏感,易触发 重要安防区域

人形追踪灵敏度

级别 说明 适用场景
低灵敏度 0 追踪较平缓 目标移动缓慢
中灵敏度 1 追踪速度适中 一般场景(默认)
高灵敏度 2 追踪响应快 目标移动快速

人形人脸算法类型

类型 说明
单人形检测 0 仅检测人形(默认)
人形加人脸检测 1 检测人形并检测人脸
人形加人脸识别 2 检测人形并识别人脸身份
人形加车形检测 3 检测人形和车辆
人形加车形加人脸 4 检测人形、车形和人脸
宠物检测 5 检测宠物

状态码

平台状态码

code 说明 处理建议
2000 成功 -
28007 Header 参数错误 检查 uuid、appKey、timeMillis、signature
40103 无效 Token deviceToken 过期,重新获取
50000 服务器内部错误 联系杰峰技术支持

设备状态码(Ret)

Ret 说明
100 成功
106 用户名或密码错误

注意事项

  1. deviceToken 有效期 - 24 小时,过期需重新获取
  2. 设备在线要求 - 配置类操作需要设备在线
  3. 云台设备 - 人形追踪功能仅云台设备支持
  4. 画面正放 - 人形追踪需要画面正放才能生效
  5. 识别生效 - 需先识别出人形,追踪功能才能生效
  6. 坐标范围 - 警戒区域坐标需缩放到 0-8192 范围
  7. 北京时间 - 建议使用北京时间(UTC+8)进行时间查询
  8. 算法创建 - 多通道设备可能部分通道不创建算法(AlgoCreate 字段)

相关文件

文件 说明
SKILL.md 技能文档
scripts/human_detection.py Python 执行脚本
scripts/crypto.py 签名/时间戳加密工具(复用)

参考文档

Usage Guidance
Install only if you operate the target JFTech devices and are comfortable managing surveillance-related settings. Use only official JFTech regional endpoints, keep JF credentials and device tokens private, confirm the device serial/token before running set actions, and consider reading the current configuration before making changes.
Capability Tags
crypto
Capability Assessment
Purpose & Capability
The documented purpose matches the implementation: it queries and changes JFTech device human-detection and PTZ tracking configuration via OpenAPI.
Instruction Scope
The examples directly enable, disable, and tune live camera monitoring/tracking behavior, but the documentation does not clearly warn users that these commands immediately alter device behavior or raise privacy and consent issues.
Install Mechanism
The artifact contains a SKILL.md and two Python scripts; there is no installer, package dependency list, background worker, or automatic execution path.
Credentials
The skill requires JF OpenAPI credentials and a device token, then builds the API host from JF_ENDPOINT without enforcing the documented JFTech regional hostnames, so misconfiguration or environment manipulation could redirect signed requests and device tokens.
Persistence & Privilege
There is no local persistence or privilege escalation, but successful setconfig calls persistently modify remote device detection/tracking settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install jf-open-pro-device-human-detection
  3. After installation, invoke the skill by name or use /jf-open-pro-device-human-detection
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of jf-open-pro-device-human-detection. - Supports enabling/disabling human detection and adjusting detection sensitivity on JFTech devices. - Adds configuration and control for PTZ device human tracking, including tracking sensitivity and return time settings. - Provides commands to view and modify human detection/tracking settings via CLI scripts. - Requires environment variables for JFTech OpenAPI authentication and device information. - Includes detailed documentation and usage examples in SKILL.md.
Metadata
Slug jf-open-pro-device-human-detection
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is jf-open-pro-device-human-detection?

杰峰设备人形检测技能(开发版)。支持人形检测开关设置、人形检测灵敏度设置、云台设备人形追踪开关设置等功能。 It is an AI Agent Skill for Claude Code / OpenClaw, with 45 downloads so far.

How do I install jf-open-pro-device-human-detection?

Run "/install jf-open-pro-device-human-detection" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is jf-open-pro-device-human-detection free?

Yes, jf-open-pro-device-human-detection is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does jf-open-pro-device-human-detection support?

jf-open-pro-device-human-detection is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created jf-open-pro-device-human-detection?

It is built and maintained by jftech (@jftech); the current version is v1.0.0.

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