Perimeter Security
Monitor unauthorized entry, vehicle approach and camera tampering.
The real problem in perimeter security is not detection but false alarms. A security team alerted twenty times a night by a branch swaying in the wind soon switches the alerts off.
The system recognizes objects rather than motion: person, vehicle and animal are separated, and direction and route conditions are applied — approaching the fence is not the same as walking parallel to it. Blocking or turning a camera is also reported as its own event.
How it works
Objects recognized
Unlike motion detection, person, vehicle and animal are distinguished.
Route condition applied
Which way the line was crossed matters; an exit is not counted as an entry.
Camera health
Blackout, spray-painting, reorientation and signal loss are reported.
Alarm quality decides where the security team's attention goes
A perimeter system is judged by what share of its alarms are real. Once object classification is enabled, most night alarms turn out to come from animals and vegetation; filtering them restores the attention the team can give to real events.
| Vegetation / wind | 46% |
| Animals | 22% |
| Light / shadow change | 14% |
| Vehicle passing (external road) | 11% |
| Real human entry | 7% |
After calibration this distribution inverts: more than 80% of alarms become confirmed person or vehicle events.
| W1 | 96 |
| W2 | 52 |
| W3 | 24 |
| W4 | 14 |
The entire decline comes from false-alarm filtering; the number of real events does not change.
Use cases
Site fence
Unauthorized entry and theft at night.
Transformer yard
Perimeter monitoring for critical infrastructure.
Rail track
Detection of pedestrians entering the track.
Vehicle gate
Out-of-hours vehicle approach.
Technical requirements
| Camera | Fixed perimeter camera; IR illumination recommended |
| Rules | Line crossing, direction, dwell time, time window |
| Tamper | Blackout, loss of focus, reorientation, signal loss |
| Integration | Alarm panel, siren, PTZ steering, security app |
| Recording | Event clip archived with camera location tag |
Frequently asked questions
How does Perimeter Security work?
The real problem in perimeter security is not detection but false alarms. A security team alerted twenty times a night by a branch swaying in the wind soon switches the alerts off.
Are our existing cameras suitable for this solution?
Required camera specification: Fixed perimeter camera; IR illumination recommended. Before installation we assess your camera inventory free of charge and report which points are suitable and, if needed, which camera should be added.
What results and indicators does it provide?
Key indicators: False alarm reduction: −85%; Object classes: person, vehicle, animal: 3; Tamper monitoring: 24/7. After calibration this distribution inverts: more than 80% of alarms become confirmed person or vehicle events. Thresholds are calibrated on your own site during the pilot.
Which systems does it integrate with?
Alarm panel, siren, PTZ steering, security app. Events are published over REST API and MQTT, so it connects to your existing MES, ERP, VMS and alarm infrastructure.
Is it compliant with KVKK, Turkey's data protection law?
Footage is processed on an edge server inside your facility; raw video is not sent to the cloud. Facial recognition is not used; analytics outputs are anonymous and event clips are deleted automatically when the defined retention period ends.