安防系统
现场常见问题
One guard watching 32 screens will miss things. Basic motion detection fires every time leaves move, rain falls or a dog walks by, until everyone switches the alerts off. And finding an incident in recorded footage takes hours.
AI video analytics runs deep learning on the camera (edge), the NVR or a server to understand what's in the picture, not just that "something moved".
What it can do
| Function | Example use |
|---|---|
| Person/vehicle classification | Far fewer false alarms from animals, foliage and rain |
| Line crossing / restricted zones | Mine fences, rooftops, fuel stores |
| PPE detection | Hard hats and hi-vis on site |
| People counting / heatmaps | Shops, malls, queue management |
| Attribute search | Find "person in a red shirt" or "white pickup" in seconds |
| Face recognition | VIP lists or watchlists (needs a privacy policy) |
Worth knowing before you buy
AI is only as good as the image it gets. A camera mounted too high, facing into the light or with a dusty lens will perform badly whatever the brand. So we run a 2–4 week pilot in real conditions, rainy nights included, before scaling up.
On face recognition: facial data is sensitive personal data. We recommend a written policy covering purpose, how people are informed, who has access and how long data is kept.
功能
Fewer false alarms
Alerts on people and vehicles, not leaves or dogs.
Intrusion detection
Line crossing, zone entry and loitering.
Site safety
PPE checks and people near machinery.
Fast search
By colour, type and direction.
Business data
Footfall, heatmaps and queue length.
Edge or server
Processing on the camera, NVR or a GPU server.
设计与实施
- 1
Agree what the AI should catch and how success is measured
- 2
Check or adjust camera angles for analytics
- 3
Choose edge, NVR or GPU-server processing
- 4
Pilot in real conditions and tune sensitivity
- 5
Send alerts to the control room, phones or sirens
适用场景
- Night-time intrusion on mine fences and fuel depots
- PPE checks on construction sites and in factories
- Footfall and customer flow in malls and restaurants
- Quick incident search in banks and government buildings
常见系统规模
Smart Alerts
适用于: AI cameras with a compatible NVR
- Person/vehicle and line crossing
- Alerts to phones
- Tuned on site
Operations AI
适用于: Plants, sites or retail
- PPE, counting or heatmaps
- Reporting dashboard
- Pilot and measurement
Control Room
适用于: Control rooms and several sites
- VMS with server-side AI
- Attribute search across all cameras
- Access control and alarm integration
我们供货并安装的品牌
所有品牌名称和商标归其各自所有者所有。除非另有明确说明，提及某品牌并不代表与其存在合作关系。产品均通过正规分销渠道采购。
常见问题
Do I have to replace every camera?
Not necessarily. Existing cameras with a good image can use NVR- or server-based AI. At the points that really matter, like the fence line or main gate, new AI cameras usually do better.
Is AI 100% accurate?
No. Light, angle, rain and morning fog all play a part. Be wary of anyone who says 100%. Piloting and tuning give dependable results in your conditions.
What should we consider with face recognition?
Facial data is sensitive. Set a clear purpose, put up notices, limit who can access it and decide how long it's kept. If you don't really need it, don't switch it on.
相关指南
AI 视频分析：在老挝矿山、工厂和商店真正有效的用法
入侵检测、车牌识别、PPE 检查、人数统计和自然语言检索：哪些真正有效、局限在哪、边缘端还是服务器端，以及如何开展试点。
选对监控分辨率和镜头才能看清人脸：DORI 与像素密度
镜头选错，800 万像素也没用。每米像素数、IEC 62676-4 DORI 等级、安装高度与角度、夜间成像，以及一个仓库设计实例。
NVR 存储：您的摄像机需要多少 TB？
根据码率、摄像机数量和保存天数计算 NVR 存储，附 16 路示例、H.264 与 H.265 对比，以及不会提前写满的 RAID 方案。
IP 还是高清模拟监控 (TVI/CVI/AHD)：哪种更适合您的楼宇？
从布线、距离、AI 和扩展性对比 IP 与高清模拟。旧同轴线何时值得保留，何时该重新布 Cat6。
Hikvision、Dahua、Uniview 对比：老挝 IP 监控怎么选
从 NVR/VMS 软件、人车 AI、H.265 编码、ONVIF 混用、配件和固件习惯对比 Hikvision、Dahua 与 Uniview 在老挝的表现。
相关计算工具
相关解决方案
安防系统
发给我们建筑平面图或几张现场照片
我们会先询问一些细节，再给出初步设计方案。首次咨询免费，可用老挝语、泰语或英语，通过 WhatsApp 或 Facebook 主页联系。