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Video Analytics and Licence Plate Recognition · Brampton

Video Analytics and Licence Plate Recognition in Brampton

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
500+systems deployed
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HomeLocationsBrampton › Video Analytics and Licence Plate Recognition
Underground parking structure at night
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Local conditions

Analytics and LPR for Brampton sites

Brampton has absorbed an enormous amount of large-format distribution over the past decade — buildings measured in hundreds of thousands of square feet, with yards sized for dozens of trailers. At that scale the perimeter is too long to cover by conventional means, and the meaningful control points are the gate, the dock face and the trailer parking area. Yard management and plate capture tend to deliver more than adding cameras along a fence line.

What that means for Analytics and LPR

Large trailer yards with multiple carriers on site daily. Trailer theft and load tampering are the operational concerns rather than building intrusion.

Employment areas we work in around Brampton: Bramalea, Steeles Avenue industrial, Highway 407 corridor, Heart Lake.

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.

Brampton employment areas

BramaleaSteeles Avenue industrialHighway 407 corridorHeart Lake

Other systems in Brampton

Analytics and LPR in Brampton

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 Brampton need a different approach?

Large trailer yards with multiple carriers on site daily. Trailer theft and load tampering are the operational concerns rather than building intrusion. Brampton has absorbed an enormous amount of large-format distribution over the past decade — buildings measured in hundreds of thousands of square feet, with yards sized for dozens of trailers.

Analytics and LPR nearby

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