AI intrusion detection combines object detection with rules such as a restricted zone, crossing direction or armed schedule. Basic motion detection responds to changes in the image. Object-aware rules can reduce irrelevant alerts, but they do not eliminate false alarms or establish a person's intent.
For a factory yard or warehouse boundary, the useful question is whether the system reliably identifies the events your team can act on under the conditions at that site.
How is it different from ordinary motion detection?
| Approach | What triggers it | What to test |
|---|---|---|
| Basic image-change detection | Enough change within a configured region | Rain, shadows, headlights, foliage and insects |
| Object-aware intrusion rule | A supported object class meets zone/time rules | Missed people, false object classifications, occlusion and rule boundaries |
| Line crossing | A tracked object crosses a configured line/direction | Objects moving along the line, two people together and reversals |
Product names do not establish the method. Some cameras combine motion and object classification. Ask what is actually enabled, which classes are supported and which settings apply to each channel.
What happens between detection and a phone notification?
The system receives video, detects or tracks objects, checks the configured rule and generates an event. A separate delivery path sends the alert to the configured recipient. Processing load, frame rate, network conditions and the receiving service all affect delay.
Measure event-to-notification time on your deployment. A universal “three seconds” claim is not a substitute for observed results. Also test whether the recipient sees enough context to decide what to do.
How should you choose zones and schedules?
Draw the smallest useful zone around the actual boundary or restricted area, while keeping enough approach visible to detect the target. Exclude irrelevant public roads or moving vegetation where the scene permits. Check authorised activity, shift changes and maintenance periods before setting an alarm schedule.
Do not suppress all alerts merely because a person appears familiar. Identity uncertainty, unusual behaviour and restricted areas still require a defined response policy. Face matching is a separate capability and must not be assumed from person detection.
What should a night-time pilot include?
Agree safe, authorised test events with the site's responsible person. Include day and night approaches, different directions, partial occlusion and representative distances. Observe normal nuisance activity such as lights and weather when it occurs; do not manufacture a dangerous scenario to stress a security system.
Log the camera, configuration, time, expected outcome and actual outcome. A useful scorecard includes:
- Detection rate: detected agreed events divided by all agreed test events.
- False-alert rate: irrelevant alerts per monitored camera-hour or shift.
- Missed events: separately reviewed, not hidden by a high overall “accuracy” figure.
- Delivery time: measured from the event to the recipient, including delayed/missing notifications.
- Response: acknowledgement, escalation and authorised action.
Keep the test definitions and denominator alongside every percentage. A small pilot measures that sample; it does not prove performance in every season or lighting condition.
What happens without internet?
Local analysis and cloud analysis have different dependencies. Even if local detection continues, remote delivery may fail. Read CCTV without internet and test the actual outage behaviour. Local siren or relay operation requires a supported, commissioned integration.
What should you fix before buying more analytics?
Check whether the camera can actually see the boundary at night. Clean lenses, review focus and lighting, and address blind spots with the responsible installer. Tuning cannot reconstruct an event that is outside the frame or lost in blur.
Read PGAK's intrusion-detection offering, false-alarm filtering and evaluation method for the questions to resolve at an assessment.
Need fewer irrelevant alerts at a factory or warehouse? Request a perimeter assessment with camera count, operating hours, the area of concern and the current alert problem. Agree the event definition and pilot scorecard before rollout.