FRAMEWORK
Optimizing operational efficiency across industries through computer vision
- Discover how Pariveda's computer vision solutions optimize operational efficiency in airports, retail, and manufacturing by reducing wait times and enhancing workflows.

In airports, retail environments, and industrial settings such as manufacturing plants and refineries, operational efficiency is critical for delivering exceptional customer experiences and maintaining smooth operations.
Studies show that 70% of customers experience frustration due to long wait times, which can significantly impact their overall satisfaction.
For example, airports often report extended wait times, with some averaging over 30 minutes. These wait times negatively affect travelers’ overall experience and create congestion at check-in counters. In retail, long queues can drive customers away, with 86% of shoppers abandoning a store if the line is too long. In manufacturing and refinery environments, workflow inefficiencies can lead to delays that affect employee performance and productivity.
Pariveda’s computer vision solution harvests data from your existing CCTV feeds and produces data products and insights to improve operational problems. Whether enhancing passenger experiences in airports, improving customer satisfaction in retail, or streamlining operations in manufacturing and refineries, our solution enhances efficiency, reduces delays, and fosters a more responsive, customer-centric, and employee-friendly environment across industries.
The Respond-Analyze-Predict framework
Our approach uses video data to enhance operational efficiency. By harnessing computer vision, we transform movement data into actionable insights and predictions through our Respond, Predict, and Analyze framework.
respond
Real-time data is baselined and shared through appropriate channels to drive customer and employee responses.
Analyze
Interactive charts and tables display historical and real-time data, enabling in-depth analysis of on-site conditions and identifying areas for improvement.
Predict
Historical data and contextual references allow us to predict future behaviors and trends.
Maximizing value at every step
Following a digital twin maturity model as our guide, we offer an outcomes-based approach for any point of your journey. Our goal is to continually deliver value while maturing your processes, systems, and people.
Core computer vision capabilities
The data captured and generated from your computer vision models can be converted into meaningful insights through a few core capabilities or data products.
Object tracking: Assigning an anonymous ID and tracking the location of an object as it stays within the frame.
3D to 2D zoning: Images from any camera can be translated into a 2D map or blueprint. Zones can be defined to highlight areas of interest, such as tracking when objects enter or exit specific areas.
Service rate: Service rate capability measures the speed at which objects (people or items) move through a given space. For instance, it could track how many people pass through a hallway per minute.
Count: This feature counts the number of objects in view (people, bags, or items) and captures their relative position. One use case could involve determining the number of people waiting in a queue. This capability tracks how long an object (person, vehicle, or item) stays in a designated area. This would be a combined output of 3D to 2D zoning and object tracking capabilities.
Wait time: Wait times can be calculated by combining 3D to 2D zoning, object counting, and service rate to determine the average time people spend waiting.
Partner with Pariveda to drive operational excellence
Ready to see how advanced computer vision can transform your operations? Connect for a one-hour consultation call with our team. We’ll review your use case and offer our thinking to help your organization achieve operational excellence through innovative, data-driven solutions. Let’s start optimizing your business for the future.


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