BETA Group, Inc. (BETA) s a full-service civil engineering and planning firm providing clients with a wide range of engineering services, including GIS & asset management, stormwater management, transportation, water/wastewater engineering, and landscape architecture.
Cyvl.ai is a civil engineering technology company that utilizes vehicle-mounted 3D mapping LiDAR sensors and proprietary AI processing algorithms to help communities better manage their physical infrastructure assets.
BETA has been trying to find an efficient solution for manual infrastructure inspections. Tito Sanchez, a project manager for the GIS and Asset Management team, believes that BETA can achieve this through leveraging emerging technologies.
Tito explained, “Large municipalities could take up to three weeks, sometimes longer, to conduct manual inspections. Smaller municipalities, at a minimum, would be a week and a half to two weeks.”
These manual inspections:
In 2021, BETA and Cyvl’s CEO and Co-founder, Daniel Pelaez, discussed the positive impact of affordable LiDAR and Artificial Intelligence on the Infrastructure Asset Management industry.
Cyvl’s “cutting-edge technology” appealed to Tito; he says, “I’m all about LiDAR and trying to figure out how we can utilize these technologies for the municipalities here in New England.”
Tito realized the many advantages of Cyvl’s technology, which could:
Since partnering with Cyvl, BETA has seen tremendous improvements in the efficiency of data collection. Manual inspection processes typically took weeks to complete before implementing Cyvl's technology.
“Now, we’re able to complete inspections in as little as three days with Cyvl's technology,” Tito explains.
In just one season, BETA and Cyvl have:
Cyvl’s proprietary algorithms automatically inventory and assess the condition of assets from the LiDAR and camera data and turn them into actionable reports. These results are then published on an intuitive web-based platform, which can be downloaded and directly imported into standard civil engineering 3rd-party software like:
With this processed data, BETA helps municipalities prioritize future roadway repairs and plan infrastructure asset management programs more effectively.
For example, in April 2022, Cyvl and BETA scanned the City of Haverhill, Massachusetts' entire roadway network. Over a few days, they covered 230 centerline miles made up of 2,218 individual pavement segments. Cyvl’s machine learning algorithms then processed and categorized the gathered data. This allowed BETA to pinpoint the location and condition of essential assets and create a five-year pavement management plan for the city.
As more capabilities emerge for BETA and Cyvl’s partnership, Tito believes they will continue to move toward a more asset-wide field data collection partnership. BETA looks to leverage the LiDAR data in the future to expand asset inventories within the roadway corridor.