Profiling and Benchmarking the System

[Blindspot22]

Description:

• Implement profiling and benchmarking tools to identify bottlenecks and measure the performance of different components in the system.

Implementation Steps:

• Select and integrate profiling tools compatible with Rust (e.g., cargo flamegraph, perf, criterion) to measure execution times and resource usage.
• Identify key areas of the codebase that may impact performance, such as video capture, background subtraction, contour detection, and bounding box visualization.
• Create benchmarks for these components, focusing on metrics such as frame processing time, memory usage, and CPU/GPU utilization.
• Run the profiling tools on different hardware configurations to gather performance data across various environments.
• Document the results, highlighting areas that require optimization, and create baseline performance metrics for future comparisons.