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VGroup.IT Solutions
Physical Security

AI Video Analytics

Cameras that tell people from leaves and dogs, alert on fence crossings, check PPE, count people and search footage in seconds.

AI Video Analytics

What we usually find on site

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.

What it does

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.

Design and rollout

  1. 1

    Agree what the AI should catch and how success is measured

  2. 2

    Check or adjust camera angles for analytics

  3. 3

    Choose edge, NVR or GPU-server processing

  4. 4

    Pilot in real conditions and tune sensitivity

  5. 5

    Send alerts to the control room, phones or sirens

Where it fits

  • 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

Typical system sizes

Smart Alerts

Fits: AI cameras with a compatible NVR

  • Person/vehicle and line crossing
  • Alerts to phones
  • Tuned on site
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Operations AI

Fits: Plants, sites or retail

  • PPE, counting or heatmaps
  • Reporting dashboard
  • Pilot and measurement
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Control Room

Fits: Control rooms and several sites

  • VMS with server-side AI
  • Attribute search across all cameras
  • Access control and alarm integration
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Brands we supply & install

All brand names and trademarks belong to their respective owners. Mention does not imply official partnership unless explicitly stated. Products are sourced through legitimate distribution channels.

FAQ

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.

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Physical Security

Send us a floor plan or a few photos of the site

We’ll come back with a few questions, then a first design. The first consultation is free, in Lao, Thai or English, on WhatsApp or our Facebook page.