Video Analytics
JD Security partners with the world’s leading AI video analytics developers to deploy high-performance computer vision applications for your organisation.
We leverage deep partnerships with AerVision, AXIS, Genetec, and Avigilon, deploying partner-backed analytics that match your site’s priorities – whether that’s perimeter protection, intrusion/loitering detection, people & object counting, direction-of-travel insights, or false-alarm reduction. Ensure your security and operations teams run on the most **accurate**, **actionable** **AI Video Analytics** available – turning raw video into intelligence that improves safety, efficiency, and decision-making.
AI Video Analytics transform surveillance by automating security tasks such as perimeter protection, intrusion detection, loitering detection, false alarm reduction, and more. Analytics can also perform operational tasks, including object detection, people counting, licence plate recognition, traffic flow, and direction of travel. It transforms raw video into actionable insights.
AI Video Analytics transform surveillance by automating operational tasks, including object detection, people counting, perimeter protection, and more. It transforms raw video into actionable insights.
We help customers turn raw video into business intelligence, enhance business operations (efficiency), and improve security.
What Video Analytics Does
Most surveillance video is never watched. Cameras may be configured to record continuously, but incidents are found after the fact — if they’re found at all. Video analytics changes the model: instead of storing footage for later review, your system analyses video streams in real time, identifying the events, objects, and patterns that matter.
Modern analytics detect and classify people, vehicles, and objects as they appear; count movement through entrances, zones, and queues; verify that every camera is delivering usable images 24/7; and convert weeks of footage into searchable, structured data. Alerts reach your operators the moment a defined condition occurs — a perimeter breach, an occupancy threshold, a camera losing its view — rather than hours or days later.
The result is a surveillance system that works in two directions at once. It protects your sites through earlier detection and faster response, and it informs your business through the operational data your cameras generate every day. JD Security designs and engineers these solutions end to end — matched to your environment, your risk profile, and the outcomes you need to measure.
Analytics Enablement
JD Security’s role in this transformation is most accurately described as an analytics enablement partner — not a data analytics firm, not a business intelligence consultancy, and not a software vendor. The distinction matters because it defines what JD Security should and should not promise.
Analytics by Brand
Capabilities in Depth
Object Detection & Classification
Detection is only useful when it’s specific. Analytics engines classify what they see — distinguishing a person from a vehicle, a vehicle from wind-blown vegetation — so events are triggered by objects rather than motion alone.
Configurable rules define what matters in each camera: line crossing, zone intrusion, loitering, time in area, direction of travel, object left behind or removed. At the perimeter, classification-based detection provides early warning of unauthorised entry while suppressing the environmental false alarms that erode operator trust in traditional motion detection. Inside your facilities, the same engine flags behaviour that warrants attention — a person in a restricted zone after hours, a vehicle stopped where it shouldn’t be.
Every detection is logged as structured, searchable metadata, meaning post-incident investigation starts with a filtered query, not a scrub through footage.
Object Detection & Classification
Detection is only useful when it’s specific. Analytics engines classify what they see — distinguishing a person from a vehicle, a vehicle from wind-blown vegetation — so events are triggered by objects rather than motion alone.
Configurable rules define what matters in each camera: line crossing, zone intrusion, loitering, time in area, direction of travel, object left behind or removed. At the perimeter, classification-based detection provides early warning of unauthorised entry while suppressing the environmental false alarms that erode operator trust in traditional motion detection. Inside your facilities, the same engine flags behaviour that warrants attention — a person in a restricted zone after hours, a vehicle stopped where it shouldn’t be.
Every detection is logged as structured, searchable metadata, meaning post-incident investigation starts with a filtered query, not a scrub through footage.
Edge, Server, or Hybrid — Engineered to Fit Your Environment
Video analytics can run on the camera itself (edge), on dedicated servers, or across a hybrid of both — and the right architecture is a site-specific engineering decision, not a default.
Edge analytics process video on the device, reducing network load — well suited to distributed sites and bandwidth-constrained links — server-based analytics centralise processing, supporting compute-intensive capabilities and estates of mixed camera hardware. Hybrid designs place each workload where it performs best, balancing capability, network impact, and cost across the estate.
JD Security assesses your camera hardware, network capacity, storage architecture, and analytic objectives before recommending a design. As designers and engineers of security systems since 1984, we specify the architecture your outcomes require — then integrate, commission, and tune it at your sites.
Analytics by Application
People Counting
Object Detection
Speed Detection
Image Health
Appearance Search
AXIS Scene Metadata
Crowd Detection
Occupancy Counting
Time in Area
AXIS Audio Analytics
Downloads
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