ALWAYS
keep
people in view

Real-time analysis for optimized visitor movements.

Optimized processes & resources

Zone Statistics is an AI-based system that tracks the movements of customers or employees in real-time using cameras. It automatically detects how long people stay in specific areas and provides detailed information about their movements. The system offers real-time tracking, where individuals are automatically recognized and monitored in specific zones. Additionally, it analyzes the duration of stay and shows exactly how long someone remains in a specific area.

With the help of detailed reports, the data can be analyzed hourly, daily, or monthly to identify trends and patterns. This information helps optimize space usage and increase operational efficiency. Zone Statistics is particularly useful for places like retail stores, museums, or exhibitions, where it is important to understand visitor behavior and make targeted decisions.

Optimized space utilization

Recognizes how long people stay in certain areas to make the use of space more efficient.

Efficiency

Helps with the efficient planning of personnel and resource utilization to reduce bottlenecks.

Improved customer experience

Provides data for adjusting layout and marketing to optimize the customer experience.

Decisions

Enables informed strategic adjustments through comprehensive analyses of dwell time and traffic patterns.

How it works

The system can be used beyond mere recognition: Our advanced recognition model can read and identify ULD codes from various locations, enabling seamless tracking in warehouses, shipping yards, and airports. By detecting ULDs from various angles and distances, the system ensures that containers are consistently monitored throughout their entire journey.

Thanks to a flexible architecture, the model can be retrained and updated over time. When the logistics environment changes, we can continuously feed new data into the system, ensuring that the model adapts and stays up-to-date with the latest technology. This means improved performance over time and the ability to handle new types of ULDs or operational scenarios.

Our expertise in
numbers and votes

20

Specialists

6

Years

1100

Servers used

13000

Analyzed cameras

absolute element

Deployment to
key locations in the industry

System requirement
for the installation

Linux-Requirements

The installation requires a Linux distribution (e.g., Ubuntu 18.04 or newer, Linux Mint 18 or newer) with the following installed packages:

  • Docker Engine (20.10.x or newer)
  • Docker Compose (1.28.0 or newer)
  • Nvidia Container Toolkit (1.5.0 or newer)

Server-Requirements

  • CPU: 8-Core-CPU (e.g. Intel Core i7-9700K)
  • RAM: 32 GB
  • GPU: Nvidia RTX4000 or RTXA4000 (suitable for 4 streams)

If you wish, you can purchase a suitable server with installed software directly from us.

Let us advise you now!

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