Target Recognition Engine (YOLOv8 Modified)
The core vision system utilizes a highly optimized YOLOv8 neural network trained on over 14 million frames of Apex Legends gameplay. It is designed to ignore visual artifacts such as Bangalore's smoke, Gibraltar's dome, and Thermite grenade particle effects. The system calculates character hitboxes in real-time with an average inference delay of just 1.8ms.
Recoil Smoothing & Ballistic Prediction
Recoil compensation is processed through a secondary LSTM (Long Short-Term Memory) network. Currently, the system is actively optimizing the spray patterns for the R-301 Carbine and VK-47 Flatline. It calculates the target's 3D movement vector (X, Y, Z) and applies predictive leading based on the selected weapon's projectile velocity and gravitational drop curves. Sudden acceleration spikes (e.g., Octane's Stim or Horizon's Gravity Lift) trigger heuristic overrides.