SquintPRO · Restricted zones
Intrusion detection on CCTV: restricted-zone alerts on your existing cameras
Intrusion detection on CCTV uses video analytics to watch zones you define on each camera view, and raises an alert when a person or vehicle enters one. SquintPRO, the video analytics platform Interkey builds, does this on the cameras you already have. Zones can be active all the time or only during set shifts. Each alert carries video evidence and goes to the video management, control-room or incident system you already use. SquintPRO detects that someone entered, not who they are: it does not use face recognition.
Published 6 min read
In short
- What it detects: a person or vehicle entering a restricted zone you draw on a camera view, indoors or along an outdoor perimeter.
- When: at all times, or only during the shifts you set for each zone.
- What an alert carries: video evidence, with timestamp, camera, zone and event type, plus a review step.
- After the alert: follow the person or vehicle across cameras on a site map, and search footage by description or image.
- What it does not do: identify people. There is no face recognition.
- Where it runs: on-premise, so footage stays on site, or in the cloud with 3, 6 or 12 months' retention.
Which kind of intrusion detection this page covers
"Intrusion detection system" can mean three different things, so it helps to be precise:
| Type | What it senses | Where it fits |
|---|---|---|
| Video analytics on CCTV (this page) | People and vehicles entering zones drawn on camera views | Areas already covered by cameras, where you also want video evidence of each event |
| Alarm sensors | Door contacts, motion sensors, beams and fence sensors | Points and boundaries where a physical trigger is practical |
| Network intrusion detection | Suspicious traffic on a computer network | Cyber security. A different discipline, not covered here |
Video analytics and alarm sensors work well together. A sensor tells you that a door opened, and the camera shows the person or vehicle that came through and where it went next.
What SquintPRO does in a restricted zone
- Detects people and vehicles on the camera views that the survey qualifies.
- Raises an alert on zone entry, whether a person enters a restricted area or a vehicle appears where vehicles should not be.
- Applies validity windows per shift, so a zone can be restricted at night and open during the day shift, or the reverse.
- Lets you define new events without coding. Describe an event in text or give a reference image, and SquintPRO looks for it without retraining. Test each new definition on your own footage before you rely on its alerts.
- Sends each alert into your workflow with video evidence and a review step, so an operator confirms or dismisses it.
- Logs every event with timestamp, camera, zone and event type, and turns events into reports and KPIs.
SquintPRO ships with 35 trained detection libraries, 12 core use-case categories and 73 configurable metrics and alerts. Restricted-zone detection runs alongside the other use cases on the same cameras.
Examples of zones and rules
| Zone | Rule | When active |
|---|---|---|
| Electrical room or substation enclosure | Alert if a person enters | Always, except during permitted work windows |
| Chemical or fuel store | Alert if a person enters | Outside the day shift |
| Quay edge or crane working area | Alert if a person enters | During operating shifts |
| Pedestrian-only yard | Alert if a vehicle enters | Always |
| Server room corridor | Alert if a person enters | Outside working hours |
Your security and safety teams decide the zones, the rules and who receives each alert. Interkey configures them and tunes them during the pilot.
From alert to investigation
An alert answers "something entered the zone". The next questions are how it got there and where it went. SquintPRO helps answer both:
- Cross-camera tracking. Follow the same person or vehicle from camera to camera, with each camera's position on a map of the site (GIS).
- Search by description or image. Find earlier or later appearances in recorded footage by describing what you are looking for, or by supplying a reference image. An example is "a white pickup in the last three hours".
- Human verification. An operator checks each step before it goes into a report. Similar uniforms or identical fleet vehicles can look alike on camera.
Keeping false alerts low enough to trust
An intrusion alert that fires all day is soon ignored. Three things keep the numbers down:
- Tight zones. Draw each zone around the area that is actually restricted, not the whole frame.
- The right hours. Use per-shift validity windows, so planned work does not raise alerts.
- A measured pilot. Agree an acceptable false-alert rate per shift in writing before the pilot starts, then measure against it on your own footage.
Perimeter intrusion detection on outdoor cameras
Fence lines and open yards are harder for any camera system than indoor zones. Before you rely on video analytics outdoors, check these points on your own cameras:
- Night lighting. Whether the camera shows a person clearly at night along the fence.
- Distance. Whether a person at the far end of the view is large enough to detect.
- Weather and dust. How sandstorms, rain and glare affect the image at your site.
- Vegetation and moving objects. Anything that moves in the wind inside the zone.
- Coverage gaps. Stretches of fence that no camera sees.
Read more
SquintPRO applies the same zone rules to outdoor perimeter and fence-line cameras, on the views the survey qualifies. The survey sorts each view into usable as it is, usable after adjustment, or needing new hardware. Test each perimeter view at night and in dust during the pilot before you rely on its alerts.
Privacy and deployment
- No face recognition. SquintPRO detects that a person or vehicle entered a zone. It does not identify the person.
- On-premise or cloud. On-premise processing keeps footage on your site. Cloud deployment keeps recordings for 3, 6 or 12 months.
- Rules before go-live. Agree who sees alerts and footage, the purposes they are used for, and how staff are told about them.
- Pricing. SquintPRO is priced per use case. Each quote is built from the site, the number of cameras and the use cases in scope.
How to start
The first step is a camera-suitability review of one site. If the review is positive, the next step is a pilot. It covers one site, a defined set of cameras, one or two detection cases, and written success criteria that include an acceptable false-alert rate per shift. Interkey carries out the survey, the integration with your video and incident systems, deployment, tuning and operation, from Riyadh. Read the pilot scoping guide.
RelatedRead the pilot scoping guide
Questions security teams ask
Does it work with our existing cameras and video management system?
SquintPRO is designed for existing CCTV. The survey shows which views are usable, and Interkey connects alerts to the video management, control-room or incident system you already run.
Can a zone be restricted only at night?
Yes. Each zone has validity windows that you set per shift.
Does it work on outdoor fence lines?
Yes, on perimeter views the survey qualifies. Night lighting, distance and dust decide which stretches can be covered, so test them in the pilot.
Does it recognise faces or identify intruders?
No. SquintPRO does not use face recognition. It detects that a person or vehicle entered the zone, and an operator reviews the evidence.
Can footage stay on our site?
Yes. With on-premise deployment, processing runs on your infrastructure and footage does not leave the site.
How is it priced?
SquintPRO is priced per use case, and each quote is built from the site, the number of cameras and the use cases in scope. There is no public price list.
Next
Related pages
Next step
Arrange a camera-suitability review
Tell us about the site, the zones you need to protect and roughly how many cameras cover them. We will tell you which views can support zone alerts, where the gaps are, and what a pilot could measure.
Or directly
+966-11-2180999 [email protected]Tawuniya Towers, North Tower, 7th Floor, King Fahad Highway, Olaya, P.O. Box 56835, Riyadh 11564, Saudi Arabia