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Camzify
Use case · Perimeter

AI perimeter security

Perimeter security is the detection of, and response to, intrusion at the outer boundary of a site: fence lines, gates, loading areas and open ground. It is the first layer of a physical security program and the one most often left to a camera nobody is watching. Camzify puts two things on those cameras: detections that fire when a tracked person or vehicle crosses a line or enters a zone, and a scheduled patrol round that checks the fence, the gate and the camera itself and records what it found.

  • Line and zone intrusion on confirmed tracks
  • A fence-line round with a checklist
  • Guard messaged on a failed check
An industrial site at dusk with the fence line highlighted as a perimeter zone
The problem

A recorded breach is not a detected one

Conventional CCTV records the perimeter and cannot tell a person climbing the fence from a shadow moving across it. The footage exists, and it is reviewed after the loss is discovered, which makes it evidence rather than security. Pixel-based motion alarms try to close that gap and instead fill the inbox with rain, headlights and foliage until somebody turns them off.

A guard watching a wall of perimeter cameras has the opposite problem: hours of nothing, then a few seconds that matter, usually during a shift change or at the end of a long night. The breach that gets missed is rarely the one that was hard to see.

How Camzify handles it

Detections for the event, rounds for the record

Line intrusion detection draws a tripwire across the fence line or gate in the camera view, with a direction, and fires when a confirmed object track of a chosen class crosses it. Zone intrusion detection does the same for an area, the yard inside the fence for example, with a notification window per camera so that presence at 3am notifies and presence at 3pm does not. Both operate on a track the system has followed across frames, which is why a swaying branch does not count.

Between those events, a virtual patrol round visits every fence-facing camera on a schedule and checks a list: is the fence line clear, is the gate closed, is the camera view unobstructed. Each answer is recorded with the frame it was judged against. Camera tampering detection covers the case where the camera itself is turned, covered or blinded, which on a perimeter is often the first move; camera health monitoring covers the slow failures.

The patrol round

What a perimeter round checks

A perimeter sequence is the fence-facing cameras in walking order, with a checklist at each. The items are conditions, not events: the fence line is clear, the gate is closed, nothing is parked against the boundary, the camera sees what it should. A round that passes produces a report that says so, with a snapshot per item, which is the record an insurer or an auditor asks for and a camera alone never produces.

Run it manually when an operator is on shift, or on a schedule through the night with nobody in the loop. Frequency, active hours and active days are yours to set; every 30 minutes on the perimeter overnight is a common shape.

A check found Not Compliant captures a snapshot and messages the guard designated for that camera; on a manual round the operator chooses to send it, on an automated round it goes on its own. The item stays Pending until it is marked Fixed, which captures the after frame, and the report shows both.

What it will not do

It will not see through a camera that cannot see. Fog, heavy rain and a lens pointed at a floodlight degrade the image, and the detections work on the image. It will not identify who crossed the fence; attribute extraction can describe clothing and what they were carrying, and it is not facial recognition. And it will not stop anyone. It tells the right guard, with the snapshot, and the response is theirs.

We do not publish detection rates or alert delivery times, because they depend on your cameras, your lighting and your network. The trust page sets out that policy.

FAQ

Frequently asked questions

It works on whatever the camera produces. Infrared and thermal cameras produce a usable image in the dark, and the detections run on that image the same as on daylight footage. A camera that shows a black frame at night gives the AI nothing to work with, which is an argument for checking camera health on the round.

Line and zone intrusion fire on a confirmed object track of a class you have chosen, typically person or vehicle, not on pixel change. A branch moving in the wind is not a tracked person. Animals are a class of their own and are not a person, so a fox crossing the tripwire does not raise a person alert. Motion detection, which does respond to pixel change, is a separate feature you would use deliberately.

A line or zone intrusion raises an alert on the channels configured for that category, email, SMS, WhatsApp or push, with the snapshot attached. A failed checklist item on a patrol round messages the guard designated for that camera. We do not publish a delivery time, because it depends on the channel and the network at your end.

Any camera that produces an RTSP stream, which covers ONVIF-conformant IP cameras from the major manufacturers, plus RTMP from encoders and HTTPS streams. Cameras on a LAN that cannot be reached from the internet connect through the Camzify Connector. Nothing is replaced.

They do different jobs. Detections watch continuously and fire the moment a tracked object crosses a line or enters a zone. A patrol round checks a condition on a schedule, such as whether the gate is closed and the fence line is clear, and records the answer with a snapshot whether or not anything moved. Most perimeters run both: detections for the event, rounds for the record.

Yes. An automated round works through every fence-facing camera on the schedule you set, checks each item, watches a scene for a short period where a single frame is not enough, and messages the guard for anything Not Compliant without an operator in the loop. It also raises a critical notification for a safety or security risk it sees that the checklist did not ask about.

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