Security & Surveillance · Islamabad & Rawalpindi
AI Video Analytics & ANPR in Rawalpindi
Cameras that do more than record. We set up number-plate recognition, people counting and intrusion alerts, so your team gets a message about the one thing that matters instead of hours of footage to scroll through.
Package WL SmartVision

ANPR sounds more complicated than it is, and it is also less magical than the brochures suggest. Here is what it does on a normal site, and what decides whether it works.
What it does, in plain terms
A normal CCTV system records everything and tells you nothing. Somebody has to sit and watch, or go back through the footage after something has already gone wrong. Video analytics changes that. The recorder, or a small server next to it, looks at the picture as it arrives and reacts to specific things.
Three jobs come up again and again. ANPR (automatic number-plate recognition) reads the plate on a car at your gate, checks it against your list and either opens the barrier or tells the guard who just arrived. People counting tallies how many walk through a shop door or a showroom, which settles the argument about whether Saturday is really busier than Thursday. And intrusion or line-crossing alerts send a message when someone steps into an area they have no reason to be in at night.
Where it works well, and where it does not
ANPR is the one that surprises people, in both directions. Plates here come in several formats and fonts, and an old, bent or mud-splashed plate will be misread now and then. What decides accuracy is mostly camera angle, lighting and vehicle speed, not the software. A camera mounted too high, or pointing straight into headlights, will struggle whatever you spend on it. At a gate where cars slow to a crawl the results are good. On an open road at speed you need different cameras and a different budget, and we will tell you if that is what your site needs.
Analytics also needs a decent picture to start from. If your current cameras are low-resolution units facing a bright window, we will say so and suggest moving or replacing two or three of them rather than the whole system.
How we set it up
We visit at the hardest time of day for the camera, usually early evening when headlights and long shadows make life difficult. We look at the gate or the area, decide where the analytics camera should sit, and test it with real vehicles before anything is fixed permanently. After installation we spend time tuning: drawing the zones properly, telling the system to ignore the tree that moves in the wind, and setting alerts so the guard gets two useful messages a night instead of two hundred.
A typical job includes:
- a plate camera at the gate with the right lens and shutter settings,
- an analytics recorder or a small server, so your existing recorder is not slowed down,
- your vehicle lists: staff, residents, contractors and blocked plates,
- alerts to a phone app, or a log the guard can read at the desk,
- a link to the barrier, if you want recognised plates to open it by themselves.
Decide this before we start
Who will look after the list of allowed vehicles? In a housing society it is usually the admin office, and it matters more than it sounds. A stale list is worse than no list, because guards stop paying attention to the beeps. Also think about who is allowed to watch the recordings once they include plates and faces. We will not decide that for you, but we can help you write down a simple rule.
This sits on top of an ordinary camera system. If you are still choosing cameras, start with our CCTV installation and IP camera pages. For barriers and visitor passes see visitor and parking management.
Products for this job: ANPR cameras, AI NVR recorders and people counting cameras.
