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Video Analytics and Licence Plate Recognition · Cambridge

Video Analytics and Licence Plate Recognition in Cambridge

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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HomeLocationsCambridge › Video Analytics and Licence Plate Recognition
Underground parking structure at night
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CAM 01Parking Lot
Local conditions

Analytics and LPR for Cambridge sites

Cambridge is an automotive manufacturing centre, and the tier-one and tier-two suppliers clustered around it operate under customer security requirements that are frequently more demanding than anything the business would specify for itself. Intellectual property protection around tooling and process is a real concern, which puts weight on interior access control and on knowing precisely who was in a given area at a given time.

What that means for Analytics and LPR

OEM-imposed security requirements and process IP protection. Interior zone control and access audit trails usually outrank perimeter coverage.

Employment areas we work in around Cambridge: Cambridge Business Park, Boxwood Business Park, Franklin Boulevard corridor, Hespeler industrial.

What we do

Detail that changes the outcome

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.

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.

Cambridge employment areas

Cambridge Business ParkBoxwood Business ParkFranklin Boulevard corridorHespeler industrial

Other systems in Cambridge

Analytics and LPR in Cambridge

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 Cambridge need a different approach?

OEM-imposed security requirements and process IP protection. Interior zone control and access audit trails usually outrank perimeter coverage. Cambridge is an automotive manufacturing centre, and the tier-one and tier-two suppliers clustered around it operate under customer security requirements that are frequently more demanding than anything the business would specify for itself.

Analytics and LPR nearby

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