AIVA™ — Full Guide

AI video analytics for smarter safety and operational intelligence.

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Overview

AIVA™ (AI Video Analytics) is an advanced computer vision and video intelligence platform that transforms live and recorded video into actionable insight. Unlike traditional CCTV, AIVA™ automatically detects, analyses and interprets events — identifying objects, people, behaviours, movements and anomalies — so organisations can respond faster and make data-driven decisions.

Features

Advanced video intelligence that detects, interprets and translates visual data into real-time, actionable insights.

• Real-time video analytics — events, activities and anomalies as they occur

• Object and person detection — people, vehicles and equipment across feeds

• Behaviour and activity recognition — unsafe actions, unauthorised access, operational events

• Safety and compliance monitoring — PPE compliance, restricted zones, procedures

• Intelligent alerting — automated alerts on events, risks and thresholds

• Crowd and occupancy analytics — foot traffic, occupancy and utilisation

• Incident detection and investigation — fast event identification and video search

• Dashboards and reporting — real-time and historical

Architecture

A powerful computer vision framework built to process live and recorded feeds with speed, accuracy and scalability.

• Video ingestion layer — CCTV, IP cameras, drones and mobile devices

• Computer vision engine — AI/ML models detect objects, activities and conditions

• Event detection layer — continuous analysis for predefined events and anomalies

• Analytics and intelligence engine — video data becomes metrics and trends

• Alert and response framework — automated workflows for alerts and escalation

• Integration framework — security systems, access control and enterprise applications

• Security and data governance — enterprise-grade controls for responsible video use

Use Cases

Practical deployments demonstrating how AIVA™ enhances monitoring, improves response times, and enables smarter, data-driven operations.

• Workplace safety monitoring

• PPE detection and compliance

• Security and surveillance

• Smart facilities management

• Industrial and manufacturing operations

• Transport and logistics monitoring

• Retail and customer analytics

• Public sector and smart cities

• Incident investigation and forensics