top of page

Automatic asset mapping with AI.

Street Census

Develop the monitoring of the lighting park, mutual use and afforestation automatically with our Artificial Intelligence. Have an average of more than 10,000 points per day in a low-cost solution.

 

Just one camera! That's all you need!

LANDINGPAGE4.png
BG-Secao-Street.png

Turn on the camera, follow the route, and receive the monitoring results!

ILLUSTRATION-LANDING-PAGE-17.png
BG-CITY-STREET-CENSUS.png
Windows-Boots.png

Accurate asset mapping at high speed

Accident prevention
with trees and power lines

Street Census maps energy distribution assets at speeds of up to 40km/h , increasing operational efficiency and reducing employee time in the field.

The software automatically detects possible collision points between vegetation and distribution lines, allowing for quick pruning and maintenance actions.

Screenshot 2024-10-31 175916.png
3.png
2.png
4.png

Benefits

CURSOR.png
carro_street_census

Easy to use!

With just a 360° camera and your smartphone, the entire route is scanned and georeferenced, without the need for any other additional hardware. A low-cost and high-efficiency solution.

Automated by AI

Through Artificial Intelligence, the system identifies and measures the entire environment, recognizing each component of the energy distribution park, including the occupation zone and intersection with vegetation.

poste_street_census
rua_street_census

Simple to analyze

Automatic reports are generated, providing key information in a simple and efficient way.

Additionally , the software makes the entire location available in 3D so you can navigate, calculate distance, area and even volume of components.

Solution Deliverables

Complete KMZ with all assets
mapped distribution park
of energy.


PDF with detailed description and
images of all assets
monitored and their characteristics.


Table with classified assets and
dimensional information.


API for system integration
third parties.


Critical Vegetation Report
automatically identified.

DELIVERIES SOLUTION 1.png
DELIVERIES SOLUTION 2.png
REPORTS SITE.png

Schedule a free trial!

ILUSTRA2.png

Schedule now to get details about the Street Census

Join our customers

BG Street Census Home.png

Common questions

Partners

Microsoft For Startups

Contact

  • LinkedIn
  • Instagram
  • Facebook
  • Youtube

Robotictech Technology Service Ltd.

Rua José Lourenço Kelmer, University campus - UFJF, Critt building, Juiz de Fora MG.
CNPJ: 34.545.230/0001-58

UFJF Logo
FindesLab

© 2024 All rights reserved, Robotictech.

bottom of page