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Video Analytics and Licence Plate Recognition · Pickering

Video Analytics and Licence Plate Recognition in Pickering

Pixel-based motion detection fires on rain, headlights, shadows crossing a yard and a plastic bag. After two weeks of that nobody looks at the alerts, and the system is functionally switched off while still appearing to work.

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HomeLocationsPickering › Video Analytics and Licence Plate Recognition
Underground parking structure at night
REC 00:00:00
CAM 01Parking Lot
Local conditions

Analytics and LPR for Pickering sites

Pickering's employment profile is shaped by the energy sector and its supply chain, which brings a level of procedural rigour that most commercial sites do not have. Suppliers into that chain frequently inherit documentation, access-logging and audit requirements from their customer, and a system that cannot produce a clean access record on demand becomes a commercial problem rather than a security one.

What that means for Analytics and LPR

Energy supply chain tenancies carry inherited audit and access-record requirements. Establish what the customer contract mandates before specifying.

Employment areas we work in around Pickering: Brock Industrial, Pickering Innovation Corridor, Bayly Street employment lands.

What we do

Detail that changes the outcome

Expect tuning, not magic

Any analytic needs a settling period per scene — masking a flag, excluding the road beyond the fence, setting a loiter threshold that suits how your yard actually operates. A system handed over without that period generates false alarms and gets ignored, which is the same as not having it.

LPR is a geometry problem before it is a software problem

Plate recognition depends on the angle to the plate, the vehicle's speed and controlled infrared illumination — not on the analytics engine. Beyond roughly 30 degrees off-axis, accuracy degrades quickly. A general-purpose camera pointed at a gate will disappoint; a dedicated LPR camera at the right angle, shutter speed and IR wavelength will read reliably day and night. Budget one camera for plates and a separate one for the overview scene.

Edge or server

Analytics running on the camera cost no bandwidth and no server, and scale linearly as cameras are added — but they are fixed to that camera's capability. Server-side analytics allow richer search across the whole system and retrospective re-analysis, at the cost of hardware and network. Most commercial sites are best served by edge classification for alarms and server-side search for investigations.

Pickering employment areas

Brock IndustrialPickering Innovation CorridorBayly Street employment lands

Other systems in Pickering

Analytics and LPR in Pickering

How accurate is licence plate recognition?

Under controlled conditions — a dedicated camera, a constrained lane, a reasonable angle and proper IR — it is reliable enough to drive gates and yard logs. Applied to a general camera watching a wide entrance, it is not. The install geometry matters more than the software.

Will analytics stop false alarms completely?

No, but object classification removes the overwhelming majority of them — weather, light changes and animals. What remains is people and vehicles where they should not be, which is the alarm you wanted in the first place.

Can we search old footage for a specific vehicle?

With server-side analytics, yes — by object type and attributes such as colour, across weeks. It turns a multi-hour scrub into a query, which is usually the moment a client realizes what the system is for.

Why does Pickering need a different approach?

Energy supply chain tenancies carry inherited audit and access-record requirements. Establish what the customer contract mandates before specifying. Pickering's employment profile is shaped by the energy sector and its supply chain, which brings a level of procedural rigour that most commercial sites do not have.

Analytics and LPR nearby

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