Revolutionizing Road Safety: How Blyncsy Uses AI To Leverage Dashcam Footage

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 Fragmented and sometimes outdated data makes informed analysis difficult to obtain.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.

 Watch 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.

Carahsoft Technology Corp. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, including Blyncsy, we deliver solutions for Geospatial, Cybersecurity, MultiCloud, DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the Carahsoft Blog to learn more about the latest trends in Government technology markets and solutions, as well as Carahsoft’s ecosystem of partner thought-leaders.

Forecasting Resilience: How Atlas 14 Strengthens Stormwater and Sewer Design

What forward-leaning State and Local agencies are doing to turn risk into readiness.

Most of us in public works know exactly what the National Oceanic and Atmospheric Administration’s (NOAA) Atlas 14 is, where it is used and why it matters. What has changed lately is not the definition, it is the urgency.

Across jurisdictions, we are seeing the same trend: Flood risk is up, funding scrutiny is rising and legacy assumptions are hitting resistance. The Federal Emergency Management Agency (FEMA) reports that over 75% of federally declared disasters are flood-related, and NOAA’s latest data shows record-setting rainfall intensity increasing across several states.

So, it is no surprise that design criteria anchored in decades-old rainfall estimates are facing hard questions during permitting and public review. For teams navigating FEMA, the National Flood Insurance Program (NFIP) and local requirements, the gap between historical design standards and current expectations has never been more apparent.

That is where updated Atlas 14 data is reshaping workflows—not in concept, but in practice.

A Familiar Tool, New Pressures

Atlas 14 has always been foundational, but recent updates and regulatory emphasis have made it non-negotiable in many contexts. Whether it is used to update a stormwater ordinance or justify capital investments, the message is clear: Designs that do not reflect this data face uphill battles—especially when tied to Federal funding.

In North Carolina, for example, several jurisdictions have already adjusted their stormwater management ordinances to explicitly require Atlas 14 integration. Fairfax County’s own guidelines mandate its use in culvert sizing and detention basin design. And in Texas, new flood risk mitigation plans are using Atlas 14 data as a baseline for grant applications under FEMA’s Building Resilient Infrastructure and Communities (BRIC) program. The bottom line: If your designs are not grounded in this data, your funding case—and your technical case—can be hard to defend.

With rainfall intensity trending higher across multiple regions, stormwater programs that once relied on 10- or 25-year benchmarks are now expected to model 50- and 100-year events—or even higher.

Design For What Is Likely, Defend Against What Is Possible

Colleagues across State and Local Government (SLG) are asking the same question: How can we use this data not just for box-checking, but for making better decisions? How do we defend design assumptions in permit review? How do we model flood events that reflect local topography and future rainfall patterns? How can we show that our Capital Improvement Plan (CIP) priorities align with resilience goals, rather than just meeting regulatory minimums?

That is where predictive modeling comes in. Teams using tools like Bentley OpenFlows Sewer or Bentley OpenFlows Storm are leveraging Atlas 14 as a referenced input to:

  • Run scenario comparisons based on updated precipitation probabilities
  • Assess cascading impacts across watershed and sewer networks

The result? Models that are both technically sound and strategically aligned—with funding cycles, risk standards and permitting expectations.

Join Leading Experts to Learn More

But even with strong tools and solid data, the path forward is not always clear. We have heard from agencies weighing how to phase in new standards across legacy systems, how to navigate inconsistencies between State and Federal expectations and how to model flood risk in a way that resonates with both engineers and elected officials.

It is time to take a practical look at how SLG agencies are integrating Atlas 14 into their workflows, especially as new standards and funding opportunities continue to evolve.

Join us on November 13, 2025, to learn more.

If your team is mapping out what is next—or preparing to defend the next infrastructure request—this session will offer insight into what is working across the sector.

Conclusion

We do not need to be convinced of the value of Atlas 14. We use it every day. But as expectations shift and standards evolve, how we apply it matters more than ever.

This is not about reintroducing the data. It is about strengthening the decisions built on it.

Join us for Bentley and Carahsoft’s webinar, “Future-Proofing Flood Modeling: Meeting Today’s Federal Standards and Tomorrow’s Flood Risks,” on November 13, 2025. Register Now.

Carahsoft Technology Corp. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, including Bentley, we deliver solutions for Geospatial, Cybersecurity, MultiCloud, DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the Carahsoft Blog to learn more about the latest trends in Government technology markets and solutions, as well as Carahsoft’s ecosystem of partner thought-leaders.