Performance Benchmarks

Real-world performance metrics and system capabilities

Real-Time Camera Processing

Live camera feed processing with minimal latency

Frame Rate

~10
FPS Processing

Processing: ~10 FPS (every 3 frames)
Camera capture: 30 FPS (continuous)
Real-time: Smooth and responsive

Processing Speed

1-2
seconds/frame

Per frame processing time
Optimized for real-time camera

Resolution

640×480
standard

Optimized for real-time processing
Higher resolutions supported

Video Processing

Batch video processing performance

CPU Processing

Per Frame~38 seconds
4-minute Video~76 minutes
Frame IntervalEvery 60 frames
Processing Rate~1.6 FPS

Suitable for offline processing and batch operations

GPU Acceleration

Per Frame~1.9 seconds
4-minute Video~3.8 minutes
Speedup20x faster

With RTX 3090 or equivalent GPU. Higher-end GPUs achieve 30-50x speedup.

GPU Performance Comparison

GPU ModelSpeedupTime/Frame4-min Video
RTX 409030-50x~0.8-1.3s~1.5-2.5 min
RTX 408025-40x~1.0-1.5s~2-3 min
RTX 309020-35x~1.1-1.9s~2.2-3.8 min
RTX 308015-25x~1.5-2.5s~3-5 min
GTX 1080 Ti10-20x~1.9-3.8s~3.8-7.6 min

Color Extraction System

Advanced color analysis with dual-method extraction (Exact + K-Means)

System Architecture

Our color extraction system uses two complementary methods to analyze images like the Rainbow Lorikeets shown:

  • ✓Exact Color Counting: 100% accuracy, pixel-perfect color extraction (like imagecolorpicker.com). Detected colors: #2F4636, #344C3A, etc.
  • ✓K-Means Clustering: Organized color grouping for pattern understanding. Found 20 dominant color clusters.
  • ✓Combined Results: Best of both methods - accuracy + organization. Example: Green (69.26%), Yellow (18.30%), Red (5.72%)
Exact Method
Accuracy: 100%
Speed: Moderate
K-Means Method
Accuracy: ~95%
Speed: Fast
Colorful Animals - Rainbow Lorikeets - Example of Color Extraction Analysis

Example: Rainbow Lorikeets - Analyzed with Exact + K-Means Methods

Exact Method

100%
Accuracy

Pixel-perfect color extraction
Matches imagecolorpicker.com
Real colors from image

K-Means

~95%
Accuracy

Organized color clusters
Pattern understanding
Fast processing

Processing

<1s
Per Image

Fast color extraction
Supports large images
Optimized sampling

Image Processing

Single image conversion performance

Processing Speed

Standard Method8.3 seconds
Advanced Method20-30 seconds
Optimized (CPU)2-7 seconds
Real-time Camera1-2 seconds

Quality Metrics

Coverage100%
Similarity90.6%+
Color AccuracyHigh

System Limits

Current capabilities and constraints

Real-Time Processing

  • • Camera Capture: 30 FPS
  • • Processing: ~10 FPS
  • • Frame Interval: Every 3 frames
  • • Per Frame: 1-2 seconds
  • • Resolution: 640×480

Video Processing

  • • Max Resolution: 4K (2160p)
  • • Formats: MP4, AVI, MOV
  • • CPU: ~38s/frame (~1.6 FPS)
  • • Frame Interval: Every 60 frames
  • • GPU: ~1.9s/frame (RTX 3090)

Hardware

  • • CPU: Any modern CPU
  • • GPU: Optional (20-50x speedup)
  • • RAM: 4GB+ recommended
  • • Storage: Depends on video size

Note: Performance metrics are based on real-world testing with standard hardware configurations. Actual performance may vary based on system specifications, video complexity, and processing settings. GPU acceleration provides significant speedup for video processing workloads, while real-time camera processing is optimized for low-latency applications.