Multi-Channel AI Automation System for 3D Game (Pure Computer Vision)

I am looking for an expert to develop a high-performance, 8-channel automated farming system for the 3D tactical shooter Delta Force. My requirements: Technical Skills & Experience: - Proven experience in real-time computer vision (YOLO, TensorRT) with batch inference and low latency on RTX 4070Ti/4060Ti GPUs. - Strong proficiency in C++ (or high-performance Python with CUDA/C++ backend) and PCIe capture card integration. - Familiarity with KMBOX Net HID-level mouse/touch emulation and anti-cheat evasion (Tencent ACE or similar). - Experience designing centralized dashboards and robust fail-safe management for 24/7 operations. Core Deliverables: - Real-time detection (loot, enemies, extraction points) and UI state recognition via 8x 1080p 60Hz streams. - Visual navigation using only mini-map data (absolute positioning, 3D waypoint playback, obstacle avoidance). - Intelligent looting system with value/weight priorities and auto-resupply logic through in-game menus. - Human-like input emulation: Bezier curves, randomized click delays, physiological jitter. - Central dashboard for monitoring, efficient GPU/CPU load balancing, and robust auto-reconnect logic. - Complete, well-documented source code, navigation waypoint editor, setup guide, and editable configuration files (JSON/YAML). - Must answer technical interview questions about GPU resource management, pixel-based pathfinding, synchronization, and anti-cheat input randomization.