# CITY INSIGHTS ILLUMINATED

# WITH ALLVISION

As part of the 5th Cohort of PGH Lab, a program that brings local entrepreneurs to beta test products and services in Pittsburgh’s local government for 3–4 months, Allvision was tasked with locating, mapping, and categorizing a portion of the city’s 60,000 streetlight assets using reality capture and AI in three key areas, including the North Shore, South Side, and Downtown.

Allvision’s results provided city stakeholders with highly accurate information to help them make better informed budgetary, maintenance, and operational decisions, specifically for the optimization of small cell 5G antenna placement to improve the city’s network coverage.

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# THE CHALLENGE

Every day, decisions are being made regarding **“The records that** how much to budget for infrastructure.

### we have for street

maintenance. The information guiding these

### lights do not

provide enough

### information for our

current needs.”

#### Matt Jacob  
Pittsburgh Enterprise Applications Administrator  
Department of Innovation & Performance

There are approximately 60,000 street lights throughout the City of Pittsburgh, many of them different sizes, heights, and made of different materials.

A main reason for the city to map the locations of streetlights is their importance to building and expanding 5G networks. Telecommunications agencies are able to rent or lease a streetlight to use as an antenna hub in order to improve signal coverage.

## There are approximately

## 60,000 street lights throughout the City

## of Pittsburgh

The placement of small cell network antennas, for both 5G and densification, requires precision location with knowledge of current assets, street furniture, terrain, and existing infrastructure. Allvision’s digital twin allows users to determine potential 5G antenna locations, estimate the best fiber drops, visualize the line of sight to assets, and detect obstacles.

##### Without knowing where the streetlights are located, the city is unable to help

##### 5G optimization. This lack of streetlight information is indicative of a

##### mapping need for the city, one that Allvision helped to solve.

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# ALLVISION’S SOLUTION

Partnering with cities, municipalities, government agencies, railways, and corporations, Allvision uses artificial intelligence to create maps of cityscapes, roadways, and curbs to help inform the decision making of these entities. Processing gathered point cloud imagery reveals parked cars, trash cans, vegetation, and in the particular case with PGH Lab, the city’s street lights. By recording the exact location and status of these important streetlight assets, Pittsburgh is better able to future-proof their processes, making informed decisions built from its in-house database.

Allvision has also partnered with the largest name in data collection and now has over a million highway miles ready to be ingested and processed for assets.

# RESULTS

## USE CASES  
- **54 MILES DRIVEN**  
  - Fiber Route Mapping  
  - Antenna Location Placement  
  - Network Load Determination  
  - Site Planning & Walkthroughs

- **3 ZONES MAPPED**  
- **6 HOURS DRIVEN**  
- ID tags recorded when possible  
- Material type tested  
- Continuous iteration of results and experience

- **6248 POLES IDENTIFIED**

Contact Allvision for more details on small cell 5G mapping and monitoring capabilities.