Google Street View integrates with Bentley Systems' Blyncys for identifying and documenting potholes and road conditions
Bentley Systems, a leading company in infrastructure engineering software, has announced the launch of new asset analytics features for its Blyncsy roadway intelligence solution. This enhancement is a result of a strategic partnership formed with Google in October 2024, which has now deepened with the launch of the enhanced Blyncsy analytics.
The new features, powered by Google Maps Platform's Imagery Insights, aim to improve roadway maintenance and accelerate disaster recovery. The core of the announcement is an enhancement to Bentley's Blyncsy product, which uses artificial intelligence to process crowdsourced imagery for the automated detection and inspection of roadway assets.
One of the key improvements is enhanced roadway inspections. The integration of Google Maps Platform's Imagery Insights allows for more accurate and efficient identification of infrastructure concerns. This capability is particularly valuable for emergency response, where speed and accuracy are essential for assessing storm or earthquake damage.
The new features also include automated roadway asset detection, which utilizes AI to detect and analyze roadway assets and conditions, leveraging Google Street View imagery to provide comprehensive insights. This automation helps in early identification of maintenance needs, reducing costs and improving safety.
Real-time monitoring is another significant improvement. The enhanced capabilities support real-time monitoring of asset conditions, enabling faster responses to infrastructure issues and disaster recovery efforts. This feature will be particularly beneficial in the transportation sector, allowing transportation agencies and consulting partners to quickly identify issues in the field and observe changes in infrastructure over time, without dispatching personnel for on-site inspections.
Google's Yael Maguire has emphasized the practical benefits of the collaboration, stating that it enables leaders in both the public and private sectors to tap into a new level of mobility intelligence, turning imagery into actionable infrastructure data. The integration aims to give transportation professionals a clearer and more comprehensive view of road conditions.
The initial rollout of the enhanced Blyncsy analytics will focus on transportation infrastructure, with plans to expand into other sectors in the near future. The full release for more information and multimedia assets related to the announcement can be viewed here.
This collaboration and product expansion mark Bentley's broader strategy to leverage AI and cloud partnerships, such as with Google Cloud, to enhance infrastructure management and sustainability initiatives. The enhanced Blyncsy analytics are part of Bentley's broader Asset Analytics portfolio and are expected to be generally available in 2025.
- The collaboration between Bentley Systems and Google, deepened with the launch of the enhanced Blyncsy analytics, is aimed at utilizing data-and-cloud-computing technology to improve roadway maintenance and accelerate disaster recovery in the transportation sector, using artificial-intelligence and Google Maps Platform's Imagery Insights for more accurate roadway inspections and automated asset detection.
- In addition to improving transportation infrastructure, the enhanced Blyncsy product's real-time monitoring feature is expected to benefit the finance industry by providing transportation agencies and consulting partners with a means to quickly evaluate infrastructure issues and make informed decisions about asset repair or replacement, potentially reducing costs and improving safety.
- The integration of Google's technology and Bentley's infrastructure engineering software, as part of Bentley's broader strategy to employ AI and cloud partnerships, will expand into other sectors beyond transportation in the near future, helping industries such as finance and transportation reduce maintenance costs, improve safety, and make use of mobility intelligence to optimize their operations.
