Computer Vision : Case Studies

Inventory Management

⚡ Problem:

Control the quantity and length of the pipes in their facility to an accuracy of 1 mm.

Inaccurate tracking of length and quantity resulted in significant financial losses.


For our Client, precision in determining the quantity and length of pipes at their facility with an accuracy of 1 mm was of utmost importance.

The pipes were stored on shelves, both indoors and outdoors within the storage facility. However, inaccurate tracking of their length and quantity was resulting in significant financial losses.

Our developed neural network software accomplished inventory management with efficiently and accurately, delivering precise recognition and counts of the pipes.

Inventory Management
⚙️ Results and Solutions
Several cameras were installed.
We have developed an algorithm to account for optical distortions.
A Web interface has been developed and integrated into our Client installations.
Upon arrival, the pipes are measured remotely with a precision of 1mm.
95%

Accuracy rate

Target reached. The model’s precision outperformed human accuracy.
80%

Integration

Our Client has integrated our system into 80% of its installations.
50%

Penalties reduction

Due to inaccurate accounting of pipes length and quantity.
Contact us today to schedule a consultation and embark on your journey
to data-driven success.
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