The Autonomous Computer Vision & Kinetic Tracking System for ESP32-CAM

Void Sentry is a high-performance, embedded autonomous tracking solution built for the ESP32-CAM. By utilizing optimized Frame Differencing algorithms, the system performs real-time motion analysis on the "edge," isolating moving targets and generating kinetic coordinates for hardware-based tracking without the need for external processing.

System Architecture

The system operates on a dual-core cycle to ensure low-latency video delivery while maintaining a high-frequency tracking loop.

Computer Vision Pipeline: Optimized for QVGA (320x240) resolution to maximize frames-per-second (FPS) and minimize computational jitter.
Kinetic Engine: Translates motion "blob" centroids into PWM signals for high-torque servo response.
Visual Feedback: A real-time Augmented Reality (AR) overlay is injected directly into the MJPEG stream, providing zero-latency target telemetry.

Technical Specifications

Feature	Implementation
Detection Algorithm	Temporal Frame Differencing (Greyscale)
Tracking Logic	Geometric Centroid Calculation (X, Y Coordinates)
Noise Reduction	Adaptive Hysteresis Thresholding
I/O Protocol	PWM (Pan/Tilt Servos) + HTTP MJPEG Stream
Resolution	320x240 (Optimized for Edge Inference)

Core Capabilities

Intelligent Thresholding: Dynamically filters out sensor noise and environment fluctuations (e.g., lighting changes) to prevent false positives.
Target Locking: Implements "stickiness" logic to maintain focus on the primary moving mass while ignoring secondary background static.
Low-Latency Dashboard: A web-based HUD designed for mobile and desktop, featuring real-time telemetry stats and manual override controls.
Modular Servo Control: Easily adaptable for various Pan/Tilt hardware configurations.

Software Setup

Clone the repository:
git clone [https://github.com/KoganTheDev/void-sentry-esp32.git](https://github.com/KoganTheDev/void-sentry-esp32.git)