Intozi’s AI dwell time analysis solution uses video analytics to measure how long people spend in any area, turning existing camera feeds into actionable insights to help organizations optimize operations and improve decision-making.
Key Features
Measure how long people stay in any zone with real-time dwell time analysis powered by AI video analytics.
Track time spent across different zones with zone dwell time analytics for better to identify high-engagement and underutilized spaces.
Understand how visitors interact with a space using visitor dwell time analytics to optimize layouts and enhance visitor experiences.
Analyze shopping and browsing patterns through customer dwell time analysis to improve conversions and service efficiency.
Visualize dwell patterns with interactive heatmaps and detailed reports that highlight busy zones and peak engagement periods.
Run dwell time analysis using existing cameras, eliminating the need for new hardware and enabling fast, cost-effective deployment.
Advanced Dwell Time Analysis with AI Video Analytics
Intelligent Dwell Time & Engagement Analytics
Gain complete visibility into how long people spend in each area. Continuous monitoring helps teams identify high-engagement zones, bottlenecks, and underutilized spaces in real time.
Designed for real-world environments, this AI dwell time analysis software delivers accurate performance across busy areas, varying lighting conditions, and changing layouts. Powered by deep learning, it provides consistent, dependable insights for interruptions opeartions.
Break spaces into zones to understand where people spend the most time and how they move between areas, helping optimize layout design and staffing decisions
Intozi’s dwell time analytics software combines computer vision and edge AI to measure dwell time at scale. Designed for multi-site deployments, it enables centralized monitoring and intelligent space management across multiple locations.
Turn dwell data into actionable insights with AI dwell time analytics. Interactive dashboards and heatmaps reveal busy zones, peak engagement periods, and visitor behavior trends.
Trigger instant alerts when dwell time exceeds set thresholds, flagging overcrowding, long queues, or other operational issues for faster response.
AI Dwell Time Analysis How Does It Work?
Capture live video from existing cameras
Detect and track individuals within defined zones
Measure dwell time in each defined zone
Analyze dwell data to identify trends and patterns
Visualise dwell insights through dashboards and heatmaps
Generate alerts and detailed reports for informed decision-making
Where AI Dwell Time Analysis Adds Value
Understand which displays, aisles, and promotional areas capture shopper attention the longest.
Optimise store layout by measuring dwell time across departments and product sections.
Measure passenger dwell time at gates, lounges, security checkpoints, and queues to improve operations.
Identify exhibits that attract the highest visitor engagement and the longest dwell times.
Monitor wait times and service durations to improve efficiency and experience.
Track dwell time across dining, waiting, and service areas to optimize layouts and operations.
Understand where visitors spend the most time to improve crowd flow and event planning.
Optimize shared spaces, meeting areas, and common facilities using occupancy and dwell time insights.
Key Benefits of AI Dwell Time Analysis
Know exactly where people spend their time and identify high-engagement areas.
Optimize layouts and space utilization based on real dwell patterns.
Reduce queues and wait times using real-time dwell insights.
Use engagement insights to optimize customer journeys, improve conversions, and boost sales.
Run on existing cameras, eliminating the need for new hardware and reducing deployment costs.
Turn dwell time trends into smarter operational and space planning decisions.
Frequently Asked Questions
Dwell time analysis is an AI-powered capability that uses video analytics to measure how long people spend in a specific area or zone. By processing live camera feeds, it delivers accurate insights into engagement, footfall, and space usage, helping organizations understand behavior and improve layout, staffing, and experience.
Dwell time analysis works by detecting and tracking individuals in a video feed and measuring how long each person stays within a defined zone. The software aggregates this into trends, averages, and heatmaps, highlighting which zones record the longest dwell times and where people move quickly.
Dwell time is measured by using AI to detect when a person enters and exits a defined zone, then calculating the time difference between entry and exit. Video analytics tracks each individual across the space, so measurements stay accurate even in busy areas with many people moving at once.
Dwell time analysis reveals how long people engage with a space, which links directly to interest, experience, and conversion. Longer dwell times in key areas often signals strong engagement, while unexpected patterns can highlight layout issues, bottlenecks, or missed opportunities, helping organizations optimize space and improve outcomes.
Footfall measures how many people enter a space, while dwell time measures how long they stay. Footfall shows volume and dwell time reflects engagement. Used together, they give a complete picture, revealing not just how many people visited, but how they interacted with each area.
Ikshana is Intozi’s AI video analytics platform that powers dwell time analysis alongside other analytics and safety modules. It runs AI models on existing camera feeds to deliver real-time dwell insights, heatmaps, alerts, and reporting through a single unified dashboard. Its modular architecture allows organizations to scale across multiple sites and integrate dwell analytics with people counting, crowd analytics, and face recognition into a single system.
