Real-time monitoring
of products

Always well-stocked shelves: Optimize inventory and minimize waste.

Efficient inventory control with video analysis

Our system revolutionizes inventory monitoring in self-service areas by real-time assessing how full or empty your shelves are. It uses advanced video analysis to continuously monitor the stock levels of trays containing baked goods like bread and pastries. This eliminates the need for manual checks and ensures that shelves are always stocked, enhancing operational efficiency and significantly improving the customer shopping experience.

Automated inventory tracking

Real-time data on the stock levels of baked goods trays, eliminating the need for manual checks.

Reduction of waste

Prevent overproduction and waste by restocking only as needed.

Better customer satisfaction

Popular products are always available, significantly enhancing the shopping experience.

Easy integration

Compatible with existing camera systems and requires minimal adjustments.

How it works

The system uses advanced video analysis to continuously monitor the stock levels of baked goods trays. Cameras capture the fill levels from various angles and provide data that is visualized on a central dashboard. This allows you to identify in real-time when restocking is necessary. Installation is done through a Linux environment using Docker technology to run the software. The system is flexible and adapts to your needs, regardless of the size of the sales area.

Thanks to powerful detection technology, you can always ensure product availability and manage inventory efficiently, avoiding unnecessary shortages while simultaneously improving sales.

Our expertise in
numbers and votes

20

Specialists

6

Years

1100

Servers used

13000

Analyzed cameras

absolute element

system requirements
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 the installed software directly from us.

Let us advise you now!

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