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By accessing over a million commercial dashcams, Blyncsy, a part of Bentley Systems, uses movement intelligence to improve mobility and transportation, uses artificial intelligence (AI) vision to pinpoint roadway issues, extrapolate pain points and alert local officials with the most efficient solution to the problem.

Infrastructure Pain Points

State and Local Governments rely on manual inspections to maintain roadways. These are incredibly expensive, as Light Detection and Ranging (LiDAR) systems cost 200 dollars or more per mile to operate. These fact-finding missions are both labor-intensive and time-consuming.

Information collected to make informed decisions on roadway maintenance is often coming from multiple sources. Fragmented and sometimes outdated data makes informed analysis difficult to obtain. Government officials need to be able to take these data points and interpret their value to suit modern needs, such as the wear of heavier electric vehicles and extreme weather on roadways, the use of autonomous vehicles and population increase in urban areas.

How AI-Vision Works

Blyncsy’s AI-Vision collects images from commercial dashcams currently on roadways around the country. The journey from raw footage to data analysis takes place in three steps:

1. Upload and Validate: Images are collected and validated by examining meta details such as direction information, date and time stamps and heading information.
2. Segment: AI-Vision breaks down the image and groups like objects together.
3. Mask: Blyncsy highlights the segments that are valuable to the relative Government agency and provides near real-time insights.

Bentley Systems purchases the footage from partnering dashcam providers and makes the data available to State and Local officials that allow them to make informed and cost-effective decisions to improve their infrastructure. Proactive maintenance applications allow agencies to combine disparate data points to demonstrate how they interact with each other. For example, Blyncsy’s AI-Vision can identify a crosswalk in an image, then analyze the condition of the crosswalk paint and surrounding streetlights. This comprehensive analysis can help agencies quickly determine which intersections are not safe for pedestrians, and subsequently where they should be focusing maintenance efforts.

Blyncsy’s Capabilities

With the dashcams passively capturing and uploading every detail of the roads their drivers travel, Blyncsy’s practical applications are as numerous as the elements they capture.

1. Safety Critical Assets: From guardrail detection and damage to paint line degradation, the AI-Vision can capture and evaluate the extent of the damage, determine whether the damage is severe enough to require immediate repair. Hawaii is the first to utilize this technology state-wide to detect vegetation encroachment and guardrail damage. As a result, the Hawaii Department of Transportation (HIDOT) can prioritize resolving the most critical safety issues.
2. Roadway Detection: Similarly, AI-Vision can detect roadway conditions, including recognizing potholes and pavement cracking and issuing a Pavement Surface Evaluation and Rating (PASER) score, where ratings can indicate good or poor pavement condition.
3. Sign Inventory: Blyncsy can identify how each sign it captures is categorized according to their Manual on Uniform Traffic Control Devices (MUTCD) Classification. From there, it can assess damage and even recognize whether a sign is missing. They can also perform Optical Character Recognition (OCR) on signs to read the text.

These are only a few of the numerous ways Blyncsy’s AI-Vision technology can make roadway and infrastructure maintenance more efficient and cost-effective.

ÌýWatch Blyncsy CEO Mark Pittman discuss the capabilities of AI-Vision and how it can help optimize your infrastructure maintenance systems.

To learn more about Blyncsy (a Bentley company) or Bentley, or to schedule a demo, contact Bentley@carahsoft.com or call (703) 673-3570.

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