Benchmark — UAV Vision Analytics

This section explains how to measure the performance of the UAV Vision Analytics application. The blueprint offers two options, using the UAV-specific calc_stream_density.sh benchmarking script and the Edge Workloads and Benchmarks approach.

The UAV-specific benchmarking Guide explains how to determine the maximum number of concurrent drone-camera video streams the system can process (stream density) while sustaining a target frame rate, and simultaneously collects hardware utilization and power metrics from metrics-manager.

Edge Workloads and Benchmarks Guide describes the more general, platform-level benchmarking process, a solution for end-to-end video analytics pipelines, vision AI inference, hardware-accelerated media processing, and generative AI.