Applications / Operations Intelligence

Speed Limit

Estimates vehicle and forklift speed from the camera view and flags movement above the limit set for that lane, yard or zone.

Speed Limit – Monitor Violations with AI Vision Technology — Fogsphere detection illustration

See it in action

Speed estimated per lane, measured against the limit

What it detects

Harvested from the computer-vision use-case columns of the Q3 industry papers. Every item below is a rule you can switch on, tune per zone and report on.

Vehicle speed estimation per lane and zone

Produces a speed figure from the existing camera view, without in-vehicle telematics.

Over-speeding against a configured limit

Applies the limit that belongs to that lane rather than a single site-wide number.

Forklift and MHE speed

Covers powered industrial trucks indoors, where telematics coverage is usually patchy.

Yard and haul-road speed

Extends the same measurement to external roads, ramps and gate approaches.

Speed near pedestrian work fronts

Weights the event by where it happened, so speed next to people reads differently from speed on an empty road.

Ground-support-equipment speed on aprons

Applies the detection to the airside and quayside cases in the Q3 transportation paper.

Unsafe manoeuvring, reversing and turning

Combines speed with manoeuvre type, so a fast reverse is not filed as an ordinary overspeed.

Speed combined with vehicle–worker proximity

Correlates the speed event with how close the nearest person was.

Repeat offenders by vehicle, plate or bay

Groups events by vehicle so a persistent pattern is visible rather than a list of one-offs.

Speed profile by hour, lane and shift

Shows where and when the site actually runs fast.

Where it applies

The sub-sectors below are the ones the Q3 industry papers name for this detection. Each links to the industry hub.

In Oil & Gas

Forecourt over-speeding at gas stations. Refinery yard speed control across loading bays and tank farms. Construction-site speed compliance near pedestrian work fronts.

How it works

01

Runs on the cameras you already have

Inference happens at the edge on your existing CCTV and IP streams. No new camera estate, no video leaving site, no cloud round-trip in the detection loop.

02

Thresholds and zones you configure

Draw the zone, set the rule, set the dwell, count and confidence thresholds. Rules differ by area, shift and task, because sites do.

03

Evidence, not just alerts

Every event is logged with camera, zone, timestamp and a clip, so the record is reviewable afterwards and usable in a corrective action.

04

Integrates with what you already run

Events push into your VMS, alerting and reporting stack through Fogsphere Manager, with dashboards broken down by area, shift and crew.

Risk & control objective

Speed monitoring appears in the target-applications grid of every Q3 paper and is developed in detail in logistics, transportation and chemical. The reason it is a camera problem rather than a telematics problem is coverage: telematics reports on the fleet you own, and an industrial site is full of contractor vehicles, hired plant and third-party trucks that report to nobody.

The control objective is a per-lane speed figure that covers every vehicle in view, correlated with how close the nearest person was. What the operator gains is a traffic-management record that includes third-party vehicles, and the ability to take a repeat pattern to the carrier or contractor whose vehicles produce it.

Related solutions

Vehicle Operation Zone

View solution →

Dynamic Area Delimitation

View solution →

Maximum Worker Count

View solution →

See Speed Limit running on your own cameras

Bring a yard or lane camera and a limit. We will show you what the model surfaces on your site, not on a demo reel.