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AI video analytics by Intelense

Turn Your Existing CCTV Cameras into Business Intelligence.

KenVision is AI-powered video analytics software that helps you understand what's happening across your business. Track footfall, customer movement, dwell time and queues using your existing camera infrastructure.

Get useful insights from your video feeds without spending hours manually reviewing footage.

AI video analytics for retail, commercial spaces and business operations.

Supermarket aisle with shoppersDwell · 6m 12sAisle · IN 415Shopper
CAM-02 · Store floor14:32:09
The problem

Your CCTV Cameras Record Everything. But What Can They Tell You?

Traditional CCTV helps you see what happened. AI video analytics helps you understand patterns in what is happening.

How many people visited your store today?

Which areas attracted the most attention?

When did queues start building up?

Where could your operations improve?

Finding these answers manually takes time. KenVision analyses video feeds to help you turn everyday activity into useful business data.

  • Understand visitor trafficTrack footfall and identify peak visiting hours.
  • See where people spend timeMeasure dwell time and understand activity across different areas.
  • Monitor queuesIdentify queue build-up and help your team respond sooner.
  • Make better operational decisionsUse video analytics reports and trends to understand what needs attention.
Features

Everything You Need to Understand Your Space Better

KenVision combines AI video analytics, people counting and movement analysis to help you see beyond the camera feed.

Group of shoppers walking past and into arched shop entrances on a streetEntrance · 18 in
01

Footfall Analytics & People Counting

Know how many people walk through your doors.

Count visitors, understand entry and exit patterns, and identify peak hours. Footfall analytics helps you understand traffic across stores, buildings and other business locations.

Crowd density over a city squareHigh density
02

Heatmap Analytics

See which areas attract attention.

Visualise movement patterns and activity across defined zones. Identify busy and less-visited areas to help inform store layouts, product placement and space planning.

Shoppers in a supermarket aisleDwell · 4m 10s
03

Dwell Time Analytics

Understand where people spend their time.

Measure how long people stay in selected areas, around displays or at counters. Use dwell time insights to understand activity and engagement across your space.

High-angle view of a long queue of people behind stanchion ropes in a mall outsiQueue · 12
04

Queue Monitoring & Detection

Know when waiting lines start building up.

Monitor queues and activity around billing counters or service areas. Help your team identify congestion and respond during busy periods.

Retail store displayDisplay · 62%
05

Conversion Analytics

Understand the gap between visitors and purchases.

Combine visitor and zone activity data with compatible sales or POS data to understand how store traffic relates to purchasing activity and identify opportunities for improvement.

Two customersCounter zone
06

Staff & Space Utilisation

Make better use of your people and space.

Understand activity across designated areas and compare it with busy periods. Use these insights to support staffing plans, space utilisation and operational decisions.

How it works

How Does AI Video Analytics Work?

KenVision turns camera footage into structured insights in three steps.

  1. Step 1

    Connect Your Existing Cameras

    Integrate compatible CCTV cameras and video recording systems with KenVision. Use your existing infrastructure where supported instead of replacing your entire camera setup.

  2. Step 2

    AI Analyses Video Feeds

    AI-powered video analytics processes camera feeds to count people, measure activity across defined zones and identify configured events or patterns.

  3. Step 3

    View Insights on Your Dashboard

    Access available metrics, trends and alerts through dashboards and reports. Use the information to understand activity and make informed operational decisions.

See KenVision in Action

Industry applications

AI Video Analytics for Different Industries

KenVision helps businesses understand movement, occupancy and activity across their physical spaces.

Retail Stores & Shopping Malls

Use retail video analytics to track footfall, analyse customer movement, understand dwell time around product displays and monitor billing queues.

More on retail →

Supermarkets & Food Courts

Understand visitor patterns, monitor queues at checkout counters and identify busy periods across service areas.

More on retail →

Airports & Transit Hubs

Analyse passenger movement, monitor occupancy and understand queue patterns across designated areas.

More on smart cities →

Offices & Commercial Buildings

Understand visitor footfall, activity across floors and utilisation patterns in shared spaces.

More on smart cities →

Hospitals & Clinics

Monitor occupancy and activity in designated waiting areas, entrances and other operational spaces.

More on healthcare →

Hotels & Hospitality

Understand guest movement and activity across lobbies, restaurants and other shared spaces.

More on retail →
Retail use case

A Busy Store Doesn't Always Mean More Sales.

Your store may be full of visitors, but that doesn't automatically mean customers are finding what they need or completing purchases.

Retail video analytics can help you investigate what's happening.

  • Footfall analyticsUnderstand how many visitors enter and when your store is busiest.
  • Heatmap analyticsIdentify which areas attract more activity and which are overlooked.
  • Dwell time analyticsUnderstand how long visitors spend around selected counters and displays.
  • Queue analyticsIdentify waiting-time and congestion patterns around billing counters.

By combining these insights with available sales data, retailers can make better-informed decisions about store layouts, staffing and the customer experience.

Store aisle and checkout lanes with a heatmap showing the most activity at the checkout and the main aisleCheckout · high activityShopper
Example store heatmap
Key benefits

Get More from Your Existing Camera Infrastructure

Beyond Traditional CCTV

Go beyond recording footage and use AI video analytics to understand activity patterns across your business.

Less Manual Video Review

Automate supported analysis and reduce the need to manually review footage for routine operational insights.

Real-Time Operational Visibility

Access supported live analytics and alerts to understand activity as it unfolds.

Better-Informed Decisions

Use footfall, dwell time, heatmaps and queue data to identify patterns and opportunities for improvement.

Flexible Integration

Connect compatible cameras and recording systems, subject to your existing setup and deployment requirements.

FAQ

Frequently asked questions

What is AI video analytics?

AI video analytics uses artificial intelligence and computer vision to analyse video footage and identify useful information, such as people counts, movement patterns, occupancy and activity within defined areas.

What is KenVision?

KenVision is Intelense's AI video analytics product. It turns video feeds from compatible cameras into business insights, including footfall analytics, heatmaps, dwell time, queue monitoring and other supported metrics.

How is AI video analytics different from CCTV?

Traditional CCTV primarily records video for live monitoring or later review. AI video analytics automatically analyses video feeds to generate metrics, identify patterns and provide operational insights.

Can KenVision work with existing CCTV cameras?

KenVision is designed to integrate with compatible existing cameras and recording systems. The exact compatibility and setup depend on your current infrastructure.

What is footfall analytics?

Footfall analytics measures visitor traffic across a location. Businesses use it to understand visitor numbers, entry and exit patterns, and peak hours.

What is dwell time analytics?

Dwell time analytics measures how long people remain in a defined area. Retailers can use it to understand activity around displays, counters and other selected zones.

Can KenVision help improve retail performance?

KenVision can help retailers understand footfall, customer movement, dwell time and queue patterns. These insights can support decisions about staffing, store layouts and customer experience. Actual sales impact depends on how the insights are used.

Does KenVision require new hardware?

Not necessarily. KenVision can use compatible existing camera infrastructure. Hardware, processing and integration requirements depend on the deployment.

Can KenVision be used outside retail?

Yes. Video analytics can also support applications in commercial buildings, offices, transport hubs, healthcare facilities and hospitality environments, depending on the features configured.

How can I get a KenVision demo?

Contact Intelense to discuss your business requirements, camera infrastructure and analytics needs. The team can help you understand the appropriate configuration for your use case.

Get started

Your Cameras Can Do More Than Record.

Discover how KenVision AI video analytics can help you understand footfall, customer movement, dwell time and queues across your business.

See what your existing camera infrastructure can tell you.

KenVision by Intelense | Intelligence at the Edge.