Camera Surveillance

AI Video Analytics

Analytics that turn a passive camera estate into an alerting system — and that are tuned well enough that people still trust the alerts in month six.

IP surveillance camera

The system watches continuously; a person is only pulled in when something genuinely needs one.

What we deliver

Intrusion and perimeter detection

Line-crossing and zone-intrusion detection with schedules, combined with thermal cameras where lighting cannot be relied on.

Safety and PPE compliance

Helmet, vest and restricted-zone detection at production and warehouse entrances, with reporting for safety audits.

People counting and queue analytics

Footfall, dwell time and checkout queue length — operational data from cameras you have already paid for.

ANPR and vehicle management

Automatic number plate recognition for gates, weighbridges and paid parking, linked to whitelists and barrier control.

Nobody watches the monitors

A security guard watching a 32-camera wall stops seeing anything within twenty minutes. That is not a discipline problem, it is a well-documented limit of human attention. Analytics fixes it by inverting the model: the system watches continuously and raises the handful of events that need a person.

How we work

  1. 01

    Define the events worth alerting on

    We start from the incidents you actually care about, not from the feature list of an analytics platform.

  2. 02

    Camera suitability review

    Analytics need a viewing angle and resolution they can work with.

  3. 03

    Deploy and tune

    Zones, sensitivity and schedules tuned against live site conditions across a shakedown period.

  4. 04

    Review false-positive rate

    We measure alert quality after go-live and keep tuning.

/01 20 Minutes before human attention on a monitor wall measurably degrades
/02 24/7 Detection that does not get tired, distracted or reassigned

Frequently asked questions

Can analytics run on our existing cameras?

Often yes, provided the camera has the resolution and viewing angle the analytic needs. Server-side analytics can process feeds from existing cameras; edge analytics needs capable cameras.

How accurate is number plate recognition?

High, when the camera is specified and positioned for it — a dedicated ANPR camera at a controlled angle and distance with appropriate lighting. A general-purpose overview camera pointed at a gate will not deliver reliable plate reads, regardless of the software.

Will we be flooded with false alarms?

Not if it is tuned. Untuned analytics generate alerts on moving foliage, headlights and rain, and the system gets muted within weeks.

Talk to us about AI Video Analytics.

Site surveys and first consultations cost nothing. If RFID or surveillance is not the right answer for you, we will say so.

Chat with us on WhatsApp