As a property or facilities manager, you’re continually juggling priorities: scheduling services, responding to tenant needs, or directing staff can easily disrupt your daily workflow. Because of this, it’s easy for critical facility requirements to fall through the cracks and quickly become large-scale issues.
At DroneDeploy, we know how much effort goes into extending the lifespan of a building, and pavement maintenance and inspections are no exception. By automating this process, you’re able to proactively manage your property, saving valuable time and resources along the way. We spoke to Atlas10, a pavement performance consulting firm, about how the solution works and how property managers can utilize this data to mitigate risk and make long-term decisions on their pavements.
The Atlas10 Integration: Drone Insights for Pavements
As a 40-year subject matter expert in the pavement space, Atlas10 knows the in’s and out’s of analyzing and fixing pavement. In the past 12 years, they’ve reviewed over 287 million square feet of asphalt, budgeting $327 million in parking lot repairs.
So how does our integration work?
Atlas10 utilizes DroneDeploy’s sophisticated mapping technology combined with geodata to collect and assess 100% of site distress conditions amongst asphalt and concrete pavement assets. Equipped with this information, property managers can stop reacting to failed pavement and instead create a budget and treatment plan before the damage has become more expensive to fix.
A Step-by-Step Guide on Pavement Evaluations
To put it simply, Atlas10 flies in the DroneDeploy app and uses this imagery to analyze and package a report detailing the optimal treatment plan or hazard dismissal for our clients. With all visual data on the cloud, Atlas10’s subject matter experts verify and describe the pavement condition. By assigning a PCI score and flagging a variety of pavement distress like alligator cracking, faulting, depressions, potholes, block cracking, and more, users can develop a budget, treatment plan, and decide whether to replace, repair, or reconstruct their pavement. This reporting is easily scalable across an entire portfolio and provides an objective viewpoint to tenants or property managers campaigning for renovations to property owners who are often off-site.
How our Clients Utilize Drone Data
Atlas10 frequently flies parking lots of active retail centers, such as grocery outlets, trucking terminals, and similar spaces. After creating boundaries of the facility and determining the area, the company uses machine learning to identify problem areas and generate budgets and conditional reports. Combined with DroneDeploy’s elevation, slope, and side-by-side overlay tools, users receive a comprehensive view of their properties. For each pavement report our users generate, they’ll receive a segment and distress map, distress list, summary, and explanation of pavement condition (PCI). Perhaps most importantly, a three-year budget for their treatment plan is also included.
Just recently, using DroneDeploy, Atlas10 flew their largest-ever project: an active airport ramp and hangar comprising five million square feet at only 65 feet AGL. After DroneDeploy’s processing, they have scalable, visual data their client can use to power decision-making. This is what our integration aims to accomplish: preventing long-term replacement costs and streamlining the inspection process for our users. While DroneDeploy manages the data capture, Atlas10 takes care of reporting.