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What is Video Analytics?

Video analytics is the use of artificial intelligence (AI) and computer vision to automatically process, interpret, and analyze video footage in real time or after recording. It turns raw video streams into actionable insights by detecting, tracking, and understanding events, objects, behaviors, and patterns within video content.

Why Video Analytics?

Traditional video surveillance systems rely heavily on manual monitoring, which is time-consuming and prone to human error. Video analytics enhances security, efficiency, and decision-making by automating video review and surfacing critical insights instantly.

Platform Highlights

Real-Time Detection

Detect people, vehicles, objects, and activities in real time.
Identify anomalies such as unauthorized access, loitering, crowd formation, or motion in restricted areas.

Advanced Analytics

Footfall counting, heatmaps, dwell time analysis, zone activity tracking.
Behavioral analytics to understand customer patterns or security risks.

Automated Reports

Generate detailed reports with charts, heatmaps, and summary statistics.
Schedule exports or share directly via email or link.

Intelligent Alerts

Trigger real-time alerts for specific behaviors or thresholds.
Customizable rules based on object types, time, and location.

Video Analytics Sample

PEOPLE COUNTING

People counting is a video analytics feature that uses AI and computer vision to automatically detect and count the number of people moving through a specific area or captured by a surveillance camera. It provides accurate, real-time and historical data on human traffic, enabling organizations to understand occupancy levels, monitor trends, and make informed operational decisions. Retail: Analyze footfall, conversion rates, and peak hours. Offices & Smart Buildings: Manage occupancy and energy use. Transportation Hubs: Monitor crowd density and flow. Events: Ensure venue capacity and safety compliance. Public Safety, Detect overcrowding or abnormal gatherings.

SLIP AND FALL DETECTION

Slip and fall detection refers to the use of AI-powered video analytics to automatically identify and alert when a person unexpectedly falls to the ground. It’s a critical safety feature used to prevent injury escalation by enabling faster response times in both public and private environments. Falls are the leading cause of injury in many settings including workplaces, hospitals, elderly care, and public areas. Manual monitoring is slow and prone to missed incidents. Fast detection = faster medical response, reduced liability, and improved safety compliance.

UNATTENDED OBJECT

An unattended object refers to any item such as a bag, suitcase, box, or package that is left behind and remains stationary in a public or monitored area without a nearby owner or identifiable activity for a specified period of time. This is a critical security concern in places like: Airports and train stations Shopping malls Stadiums and event venues Government and corporate buildings

Types of Video Analytic Solutions

– AI-Based Behavior Recognition

– Zone-Based Activity Monitoring

– People Counting

– Zone-Based Activity Monitoring

– Intrusion Detection

– Crowd Density Analysis

– Unattended / Suspicious Object Detection

– Fall Detection / Health & Safety Monitoring

– License Plate Recognition (LPR/ANPR)

– Vehicle Counting & Classification

– Automated Reporting & Analytics Dashboard

– Real-Time Alerts & Notifications

– Mobile & Remote Monitoring

– System Integration & API Support