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Video Analytics and Licence Plate Recognition · Vaughan

Video Analytics and Licence Plate Recognition in Vaughan

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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20+years in the field
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HomeLocationsVaughan › Video Analytics and Licence Plate Recognition
Underground parking structure at night
REC 00:00:00
CAM 01Parking Lot
Local conditions

Analytics and LPR for Vaughan sites

Concord and Woodbridge are the GTA's construction supply chain — aggregate, steel, millwork, mechanical trades and equipment yards, much of it stored outdoors. CN's MacMillan Yard puts significant rail intermodal traffic through the same area. Outdoor storage of high-value material is the defining characteristic, which makes yard analytics and after-hours monitoring more relevant here than building access control.

What that means for Analytics and LPR

Copper, tooling, fuel and equipment held in open yards. Detection at the fence line and talk-down capability matter more than recorded coverage of the building.

Employment areas we work in around Vaughan: Concord, Woodbridge, Vaughan Enterprise Zone, Keele Street corridor.

What we do

Detail that changes the outcome

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.

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.

Vaughan employment areas

ConcordWoodbridgeVaughan Enterprise ZoneKeele Street corridor

Other systems in Vaughan

Analytics and LPR in Vaughan

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 Vaughan need a different approach?

Copper, tooling, fuel and equipment held in open yards. Detection at the fence line and talk-down capability matter more than recorded coverage of the building. Concord and Woodbridge are the GTA's construction supply chain — aggregate, steel, millwork, mechanical trades and equipment yards, much of it stored outdoors.

Analytics and LPR nearby

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