• Train




          Data Collection

          Building Blocks​

          Device Enrollment

          Monitoring Dashboards

          Video Annotation​

          Application Editor​

          Device Management

          Remote Maintenance

          Model Training

          Application Library

          Deployment Manager

          Unified Security Center

          AI Model Library

          Configuration Manager

          IoT Edge Gateway

          Privacy-preserving AI

          Ready to get started?

          Expert Services
  • Services
        • Resources



          Why Viso Suite?

          The Viso Blog

          About Viso

          Evaluation Guide

          Explore Use Cases


          Viso Suite Whitepaper

          Industry Reports

          Support Center

          ROI Impact Study

          Technology Guides


          Security & Trust


          Why Viso Suite

          Viso Suite is the leading end-to-end computer vision infrastructure to build, deploy, and scale AI vision dramatically faster and better.

  • Pricing
Case Study

A Multi-national Airline Improved Boarding Processes with Viso Suite

Occupancy monitoring in an airport setting
0 %

Increase in employee productivity

$ 0 k

Saved annually per terminal per airport

0 %

Increase in customer satisfaction

Customer Background

The airline has a long history as a leader in the aviation industry, boasting a global presence with a fleet size of over 200 aircraft and serving over 100 destinations worldwide. Renowned for its commitment to innovation, the airline has pioneered advancements in passenger experience, safety, and sustainability within the industry.

The Business Need

The airline’s existing systems for monitoring occupancy at boarding gates and airport lounges relied heavily on human effort, leading to inefficiencies, inaccuracies, and challenges in complying with capacity limits. 

This lead to a search for a computer vision solution that could offer real-time, automated occupancy monitoring to improve operational efficiency and ensure compliance with regulatory requirements. 

The airline required an end-to-end computer vision solution that streamlined the entire process, from training AI models and developing applications to deploying them across key areas within one integrated platform.


Occupancy level monitoring of boarding gates
and airport lounges relied heavily on manual

  • Manual counting is time-consuming and labor-intensive.
  • Human error in counting results in overcrowding or underutilization of space.
  • Inaccurate occupancy monitoring may result in non-compliance with capacity limits.

The airline implementing Viso Suite to automate occupancy tracking and people counting.

computer vision in smart city

The Solution

Viso Suite utilizes AI models trained specifically for occupancy monitoring in boarding gates and airport
lounges, ensuring high accuracy and delivering fast results. By analyzing real-time video feeds, Viso Suite accurately detects and counts passengers in designated areas. Thus, providing timely insights to optimize operations and ensure compliance with capacity limits.

The solution seamlessly integrated with the airline’s existing systems, including CCTV cameras, Video
Management System (VMS) and access control systems, to enhance current workflows. By automating occupancy monitoring processes with Viso Suite, the airline achieved greater efficiency and accuracy, leading to smoother operations and improved compliance with capacity limits at boarding gates and airport lounges. 

The airline plans to use Viso Suite to further improve the passenger experience and optimize turnaround times with predictive analytics to anticipate passenger flow and boarding processes.

Business Results

The customer gained:
  • Immediate improvement in operational efficiency.
  • Cost savings from optimized resource allocation and process automation.
  • Enhanced passenger satisfaction and loyalty over time.
  • Adherence to capacity limits, mitigating risks of non-compliance resulting in fines or penalties.
  • Real-time analytics for data-driven decision-making.
One unified infrastructure to build deploy scale secure computer vision applications

Enterprise infrastructure you need to deliver computer vision systems faster, operate at large scale, and with maximum security.

Play Video