AI-based Analytics

Turn Video into Actionable Intelligence

Hanwha Vision’s AI-based Analytics transforms video into actionable data by detecting, classifying, and understanding objects and behavior in real time.
From people and vehicles to movement patterns and crowd behavior, it enables proactive monitoring, smarter operations, and data-driven decision-making.

Too Much Videos, Not Enough Insights

Traditional surveillance captures massive amounts of footage but most of it remains unused. Operators are left scanning screens manually, reacting after incidents occur, and struggling to extract meaningful insights from raw video streams. Without intelligent analytics, security systems stay reactive instead of proactive, and operational data remains hidden in plain sight.

ai-based analytics

Valuable Insights from Every Scene

Hanwha Vision’s AI-based Analytics converts visual information into real-time intelligence. By understanding objects, movement, behavior, and density, it delivers precise alerts, accurate statistics, and operational insights that go far beyond conventional motion detection.

Proactive detection & Faster response

Identify risks and events in real time before they escalate

Smarter operations with real-world data

Turn foot traffic, queues, and flow into actionable operational insights

Accurate, reliable analytics at scale

AI-based object recognition minimizes false data and ensures consistent performance across environments

People Counting

People Counting performs real time counting based on a virtual line, accurately detecting multiple people simultaneously as they pass through. The system automatically generates counting reports and can transmit data via SUNAPI, enabling seamless integration with external systems for analysis and operations.

Crowd Counting

Crowd Counting analyzes people counting data per defined zone in real time to monitor crowd density and distribution.
The system accurately counts up to 500 people per zone, providing reliable insights into congestion levels and crowd buildup.
This enables operators to identify overcrowding risks early and take proactive measures for safety and flow control.

Vehicle Counting

Vehicle Counting detects and classifies vehicles as they pass through defined zones. By tracking traffic flow in real-time, it delivers accurate vehicle volume data for parking facilities, city traffic management, logistics hubs, and toll systems.
This supports congestion analysis, infrastructure planning, and operational optimization.

Queue Management

Queue Management monitors up to three defined queue zones simultaneously, displaying real-time people counting data directly on the web viewer.
The system triggers alarms based on the number of people per zone, enabling immediate response to congestion. It also supports event action settings, allowing automated system responses based on predefined queue conditions.

Slip and Fall Detection

Slip & Fall Detection tracks a person whose full body has been visible in the detection area for more than three seconds.
When the system detects a sudden change from a walking posture to a fallen position, it verifies the event and triggers an alarm in approximately six seconds, ensuring fast response while minimizing false alerts.

Line Crossing / IVA Area

AI-based Line Crossing and IVA Area Detection monitor virtual lines and defined zones in real time. The system identifies people and vehicles, triggering alerts only when valid objects cross a line or enter a restricted area.
Unlike pixel-based detection, it ignores shadows, reflections, or random motion — ensuring precise intrusion and perimeter monitoring for facilities, borders, and restricted zones.

Face Mask Detection

Face Mask Detection identifies whether a person is wearing a mask using facial feature analysis and classification algorithms.
It allows facilities to automatically monitor compliance in healthcare sites, transportation hubs, or controlled-access areas. Alerts and statistical data can be generated without requiring manual enforcement.

Social Distancing Detection

Social Distancing Detection monitors the proximity between multiple people simultaneously in real-time, identifying when predefined distance rules are violated. Once distances are calibrated through pre-setting, the system continuously measures spacing and triggers real time detection events when thresholds are breached. All processing is performed through edge-based AI analytics, eliminating the need for a separate server while ensuring fast, reliable response.

Hanwha Vision is the leader in global video surveillance with the world's best optical design / manufacturing technology and image processing technology focusing on video surveillance business for 30 years since 1990.