All major updates and technical improvements for the OpenCV object recognition engine are documented below.
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Scientific Precision: Integrated the circularity formula
$4\pi \times \frac{\text{Area}}{\text{Perimeter}^2}$ for 100% precision in circle identification. - Live Telemetry: Added a real-time HUD for FPS and Latency monitoring to track hardware performance.
- UI Stabilization: Resolved frame timing conflicts and fixed text overlap issues on high-resolution displays.
- Target Tracking: Implemented LOCKED bounding boxes for improved visual persistence on moving objects.
- Lighting Auto-Correction: Added Histogram Equalization to stabilize detection under shifting light conditions.
- Noise Reduction: Optimized Gaussian Blur and Morphological "Closing" filters to eliminate sensor flicker.
- Optimization: Significant memory footprint reduction for sustained real-time video processing.
- Logic Fix: Corrected shape classification errors caused by high-frequency pixel noise (vertex count vs. ghosting).
- Geometric Expansion: Full support for Triangle, Rectangle, and Polygon detection.
- Architectural Split: Introduced the
DETECTION_PARAMSdictionary for "tuning without touching" the core logic.
- Interface Modularization: Added dynamic UI overlays including status bars and crosshair indicators.
- Environmental Tuning: Calibrated HSV sensitivity for better performance in variable outdoor environments.
- Core Engine: Initial release of the primary Color Detection engine.
- Point Analysis: Implemented center-point pixel color analyzer (Crosshair Logic).
- Stream Handling: High-speed camera acquisition logic established.
Developed by Emir Karadağ © 2026