🔬 Advanced Competitive Tool: A high-performance telemetry engine and computer vision pipeline designed to analyze real-time render data, hardware input latency, and crosshair vectors directly within the live Valorant environment.
- 🏗️ 01. Operational Architecture
- ⚙️ 02. Core Engineering Modules
- 🚀 03. Theoretical Execution Protocol
- 📊 04. Workstation Matrix
The Valorant Telemetry Pipeline is engineered to study how the Unreal Engine 4 handles ultra-fast client-server synchronization and hardware inputs. For high-tier competitive environments, analyzing micro-adjustments and pixel render times requires specialized external bridges.
🎯 The Educational Goal: This repository documents the structural methods used to deploy custom computer vision overlays and read client-side memory structures, allowing for deep statistical analysis of precision metrics (e.g., maintaining 35%+ headshot ratios) and engine performance profiling.
- 👁️ Computer Vision Render Overlay: An external, non-intrusive UI module that captures the active screen buffer, processes object coordinates in real-time, and draws analytical bounding boxes over the active client window.
- 🎯 Input Vector Smoothing: Advanced mouse interpolation scripts optimized for high-polling rate peripherals (like the Logitech G Pro Superlight 2 on low-friction surfaces like Artisan Raiden), analyzing crosshair tracking efficiency.
- 🛡️ Kernel-Level Telemetry Driver: A ring-0 observational driver designed to safely monitor hardware states and exact input response times without triggering aggressive memory protections.
- 🎛️ Network Packet Profiler: A conceptual module to read and log encrypted server-client positioning data for offline statistical review.
- 📥 Prepare the Workspace: Initialize the local Python/C++ environment and launch the target client.
- 🗂️ Compile Overlays: Write your custom telemetry tracking scripts and pass them through the local compiler.
- 🔗 Establish the Bridge: The deployment module securely hooks into the Windows display architecture to create a transparent, external drawing layer.
- ⚙️ Execute Code: The computer vision model begins reading the screen pixels and drawing the telemetry data in real-time.
- 📊 Analyze Metrics: Monitor the output overlay to study input lag, object rendering speeds, and crosshair displacement.
| Component Vector | Research Standard |
|---|---|
| 💻 Target Architecture | 64-bit Windows 10/11 Environments |
| 🔌 Tech Stack | C++ (Kernel Driver) / Python (Computer Vision/OpenCV) |
| Strictly for offline educational research, input analysis, and engine profiling | |
| 🧠 Prerequisites | Understanding of WinAPI overlay rendering and UE4 memory structures |