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