Vision application for energy networks

DISCOVER OUR USE CASES

Automated inspection

Automated quality control of network installations

Real-time quality diagnosis
Detection of all non-conformities visible to the naked eye
From a simple smartphone photo
Works for any type of installation: overhead and underground power lines, gas and water pipelines, etc.

For whom?

Network operators
Infrastructure installation and maintenance subcontractors

Auto control

Augmented Technician application

Real-time feedback on intervention compliance
Detection of all non-conformities
Material and parts referencing
Step-by-step validation
Troubleshooting instructions
From a simple smartphone photo

For whom?

Network operators
Infrastructure installation and maintenance subcontractors

How it works ?

The technician take a picture of the equipment in question (poles, line, meter, connection, piping, etc.)
The photo is analyzed by the application that has learned to recognize the elements of interest.
The application detects and locates the presence of an error, an omission or an inconsistency in the photo.
Depending on the case, the technician may be guided by the application until the operation is validated, or a statement of conformity may be issued.

Testimonial

“Our priority is the quality of the customer experience, but this is difficult to guarantee when you perform thousands of interventions every day. With Deepomatic’s solution, we can achieve this goal. This tool allows our operational staff to focus on tasks with higher added value.”

Carmine Muscariello

Director of Operations and Fixed Customer Quality

Bouygues Telecom

TO GO FURTHER

Webinar: How to optimize each intervention with the Augmented Worker

How can Computer Vision revolutionize field service management?

White Paper | The Augmented Workforce for field services

PRODUCTS

SOLUTIONS

INDUSTRY

RESOURCES

ABOUT DEEPOMATIC

WHERE TO FIND US?

Deepomatic New York
135 East 57th street, 16th floor
New York, NY 10022

Deepomatic Paris
53 rue de Turbigo, 75 003 Paris

This website uses cookies to improve your experience. To change your cookie settings or find out more, click here. If you continue browsing our website, you accept these cookies.