AI Video Analytics

AI video analytics is the use of artificial intelligence — specifically computer vision and deep learning models — to automatically interpret video streams and turn them into structured, searchable, and actionable data in real time.

How It Works

A modern AI video analytics pipeline has three stages:

1. Ingestion. Live streams from IP cameras enter the system over RTSP or ONVIF.
2. Inference. Neural networks detect and classify objects, faces, plates, behaviors, or anomalies frame by frame — either at the edge, in the cloud, or in a hybrid setup.
3. Action. Detections are matched against business rules, pushed as alerts to operators, logged for forensic search, or streamed to a VMS.

Unlike traditional motion-based CCTV, AI models understand what is happening in the scene — not just that something moved.

Why It Matters

Security and operations teams can't watch every camera. AI video analytics solves three business problems at once:

• Fewer false alarms — models ignore irrelevant motion (shadows, wind, animals).
• Faster response — real-time alerts replace post-incident review.
• New data streams — every camera becomes a sensor for retail footfall, traffic counts, PPE compliance, or fare evasion.

IncoreSoft's Smart Video Analytics module bundles 17 specialized AI modules into a single VEZHA platform, covering everything from license plate reading to smoke detection.

Use Cases

• Safe City — plate reading, face alerts, abandoned object detection
• Retail — heat maps, people counting, queue length
• Manufacturing — hard-hat compliance, slip-and-fall detection
• Transportation — traffic flow analysis, fare evasion, platform safety
• Logistics — container code recognition, truck dwell time

Frequently Asked Questions

How is AI video analytics different from traditional motion detection?

Motion detection triggers on any pixel change. AI video analytics classifies what caused the change — a person, a vehicle, smoke — and can apply rules like "person in a restricted zone after 10 pm."

Does AI video analytics require new cameras?

Usually not. IncoreSoft's platform works with most existing IP cameras via ONVIF and RTSP, so you reuse your current CCTV investment.

Can AI analytics run without a cloud connection?

Yes. Edge deployments run inference directly on the camera or on a local server, which keeps latency low and video data on-premise for GDPR or data-sovereignty reasons.