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Inspection Drone Task Capacity Estimator

The Inspection Drone Task Capacity Estimator estimates how many inspection tasks a drone team can complete in a working day from fleet size, scheduled operating hours, average task duration, and productive utilization. It is useful for asset owners, inspection contractors, and operations teams comparing drone capacity with a backlog of roofs, towers, panels, structures, or other repeatable inspection jobs.

The result is a planning estimate rather than a flight authorization or guaranteed production rate. It treats each task as an average cycle and uses utilization to reserve time for battery swaps, travel between targets, setup, data checks, and other non-inspection work. The daily total can help with staffing, scheduling, backlog forecasting, and deciding whether another aircraft would materially increase throughput.

Inputs

drones
hr/day
min/task
%
Result
—
Estimated inspection tasks per day
Tasks per drone / day—
Fleet productive time—
Tasks per 250-day year—

1. Enter the active fleet
Use the number of inspection drones that can actually be dispatched during the same workday.

2. Set scheduled hours
Enter the planned operating window for each drone, not just pure flight time.

3. Estimate task cycle time
Use an average duration that represents one completed inspection task from start to finish.

4. Apply productive utilization
Reduce the schedule for setup, repositioning, battery handling, data checks, and other downtime.

5. Review throughput
Use the daily fleet capacity and per-drone rate to compare against the inspection backlog.

Tasks per day = Drones × Hours per drone × 60 × Utilization ÷ Minutes per task

Utilization is entered as a percentage and converted to a decimal. The model assumes tasks are reasonably similar and that each active drone receives the same average scheduled hours.

What the result means

The displayed result is an operational estimate derived from the current inputs. Use it to compare scenarios and identify which assumptions most affect the outcome.

Real-world conditions can differ from the simplified model, so validate important decisions with measured performance and applicable operational requirements.

Given: 4 drones, 6.5 scheduled hours per drone, 22 minutes per task, and 70% utilization.

Calculation: Productive minutes = 4 × 6.5 × 60 × 0.70 = 1,092 minutes. Tasks = 1,092 ÷ 22 = 49.64.

Result: About 49.6 inspection tasks per day, or 12.4 tasks per drone.

This is an average-capacity estimate; a real schedule should allow for task variability and site-specific delays.

Should I count travel between inspection locations in task time?

Include predictable within-site movement either in the average task duration or through a lower utilization percentage, but avoid counting the same delay twice.

Why is the result not rounded to a whole task?

The decimal result represents average capacity. For a specific day, use the whole number of tasks that can actually be completed within the schedule.

What does productive utilization represent?

It is the share of scheduled time that becomes effective inspection-task time after routine nonproductive activities are allowed for.

Can I use different task durations in one day?

Yes, but first calculate a weighted average duration based on the expected mix of task types. A single average is less reliable when a few jobs are much longer than the rest.

How can this estimate support fleet planning?

Compare daily capacity with required daily inspections. If demand consistently exceeds capacity, the related fleet-sizing calculation can estimate how many drones are needed.