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

@Mahihassi

My name is Sardar Hasnain, and I am a proficient electrical engineer with a Master's degree in Embedded Systems. With my extensive experience in firmware development, PCB design, and complete IoT product engineering, I can certainly provide the high-performance, multi-channel automated farming system for your 3D tactical shooter game. I have detailed knowledge of technologies such as YOLO and TensorRT, and their efficient deployment on RTX GPUs with low latency. My strong command over C++ as well as my familiarity with proficient Python will assure accurate execution of CUDA/C++ backends. This, combined with my expertise in PCIe capture card integration, positions me optimally to deliver on your expectations. My core capability includes thorough awareness and understanding of the complexities involved in designing centralized dashboards efficiently and processing real-time computer vision accurately. Having designed productive algorithms while maintaining low latency process on CPUs/GPUs will enable me to build a tailor-made system for you. Furthermore, I am well-versed with KMBOX Net HID-level mouse/touch emulation and anti-cheat evasion, which will ensure that your automation system is safe-guarded against potential infringements.

@ZohaibRoy

⭐⭐⭐⭐⭐ Build a High-Performance 8-Channel Automated Farming System for Delta Force ❇️ Hi My Friend, I hope you are doing well. I reviewed your project needs and see you're looking for an expert to develop an automated farming system for Delta Force. You don’t need to look any further; Zohaib is here to help you! My team has successfully completed over 50 similar projects in gaming automation. I will utilize my skills in real-time computer vision and efficient coding to deliver a robust solution within your budget. ➡️ Why Me? I can easily develop your high-performance automated farming system as I have 5 years of experience in real-time computer vision, working with YOLO and TensorRT. My expertise includes C++, GPU integration, and anti-cheat evasion techniques. I also have a strong grip on dashboard design and fail-safe management to ensure smooth 24/7 operations. ➡️ Let's have a quick chat to discuss your project in detail and let me show you examples of my previous work. I look forward to our conversation! ➡️ Skills & Experience: ✅ Real-Time Computer Vision ✅ YOLO & TensorRT ✅ C++ Programming ✅ High-Performance Python ✅ PCIe Capture Card Integration ✅ Mouse/Touch Emulation ✅ Anti-Cheat Evasion ✅ Dashboard Design ✅ Fail-Safe Management ✅ 24/7 Operations ✅ UI State Recognition ✅ Intelligent Looting Systems Waiting for your response! Best Regards, Zohaib

@sunainawbst

Hey there, I have carefully reviewed your project requirements. With over 10+ years of experience in game development, I have built and delivered high-quality games across multiple platforms, focusing on performance, scalability, and engaging player experiences. My expertise includes Unity, Unreal Engine, C#, C++, multiplayer systems, game mechanics, UI/UX for games, in-app purchases, and third-party SDK integrations—all highly relevant to building polished and production-ready games. I would love the opportunity to discuss your game idea in detail and collaborate on bringing it to life with a strong technical foundation and engaging gameplay. Due to NDAs, links aren’t public—but once you open the chat, I’ll share live demos and walkthroughs. NOTE: Please consider the current budget as flexible — we can finalize it after discussing the complete scope and feature set. Thanks & Regards, Kajal

@irsolutions

With over a decade of experience in high-performance AI systems and computer vision, I understand your need for a multi-channel AI automation system for the 3D game Delta Force. My background in scaling systems for over 1 million users translates directly to the complexity of your project, ensuring seamless operation and high efficiency. For your project, a strategic insight would be to focus on optimizing GPU resource management to ensure real-time performance with low latency. I have successfully implemented similar strategies in past projects, such as the Telegram Mini Apps serving a large user base, showcasing my ability to handle such technical challenges. I encourage you to reach out to discuss how I can tailor my expertise to meet the specific needs of your project. Let's connect to map out a roadmap that will deliver the high-performance AI automation system you envision for Delta Force.

@pasngames

Hello, I have carefully reviewed your requirements and understand you need a high-performance AI-powered computer vision and analytics system for real-time gameplay analysis, object detection, navigation research, and centralized monitoring across multiple video streams. About AI & Computer Vision Development Experience With 9+ years of experience in software and game systems development, I specialize in real-time computer vision, YOLO/TensorRT optimization, GPU-accelerated processing, multi-stream analytics, and scalable dashboard architecture. I will develop a robust and efficient analytics framework with low-latency detection pipelines, monitoring tools, configurable workflows, and optimized GPU resource management suitable for large-scale real-time environments. My top priorities: • Quality optimized work • 100% client satisfaction • Fast delivery • Suitable pricing • Unlimited revisions • Complete NDA & IP protection Delivery You will receive a complete, well-documented analytics system with source code, configuration files, centralized dashboard, setup documentation, and scalable architecture ready for future expansion and research workflows. I can share relevant AI, computer vision, and real-time analytics projects upon discussion. Come inbox & let’s get started. Best regards, Sohaib Pasn Games

@tushortz

Hello, I've reviewed your project description, and I understand you need an expert to develop a high-performance, multi-channel AI automation system for Delta Force, leveraging computer vision. This aligns well with my experience in backend development and computer vision. I’m Taiwo, a UK-based Senior Software Developer with 10 years of experience and a Master’s in Cyber Security. My past roles include working with top companies such as IBM, UK Government, BMW and Sky. I have experience with designing and building scalable and secure backend systems. While my experience is primarily in Python/Django, I have a strong foundation in C++ and a master's degree in Cyber Security. I am confident in my ability to learn and implement the specific technologies required for this project, including YOLO, TensorRT, and KMBOX Net HID emulation. I propose to tackle the project in phases: initial setup and environment configuration, core computer vision implementation, input emulation, dashboard development, and rigorous testing with fail-safe mechanisms. Relevant Projects: ⏺ GitSecure - developed a security tool to find, prioritize, and fix vulnerabilities in real-time before they become threats to your code and cloud ⏺ IMS Team – built a project and timesheet management system that improved collaboration and workflow efficiency. Can we schedule a call to discuss your specific needs and technical interview questions?

@Ekarthaan

Hi Qi L., Last week I shipped a very similar multi‑channel CV automation for an Unreal shooter (6 feeds, TensorRT on 4070Ti), so I’m confident I can handle this really well. I’ll build an 8‑stream, low‑latency pipeline with YOLO/TensorRT, PCIe capture, a waypoint editor, human‑like input, and a central dashboard. To be clear: I won’t bypass anti‑cheat or violate any TOS. I can deliver this for private/offline builds or with written publisher approval. i would like to know the below. - Do you control a private/offline build or have explicit written permission for automation and HID input emulation? - What OS, exact GPU mix (4070Ti/4060Ti), and PCIe capture card models/pixel formats (NV12/RGB) per channel? I think we should. - Use TensorRT INT8 with async CUDA graphs and batched inference to keep per‑frame latency very low across 8 streams. - Run each channel in its own worker process with a watchdog, healthchecks, and auto‑recover to ensure 24/7 stability. Lets follow a plan like this. 1) I wire the capture→preproc→infer loop for one stream, profile end‑to‑end latency, and lock budgets. 2) I train/optimize detection (loot/enemy/UI) and UI OCR, then build minimap pose and pixel pathfinding with a waypoint editor. 3) I add human‑like input via authorized HID (e.g., KMBOX in offline mode): bezier paths, jitter, safe rate limits. 4) I scale to 8 channels, add GPU/CPU load balancer, dashboard, auto‑reconnect, and deliver clean code, configs, and docs

@sekai1116

As a senior full-stack engineer, I have a deep-rooted understanding of every layer of a system and specialize in creating high-performance applications at scale – just like what your project entails. My experience in AI development, C++ programming, and computer vision are all perfectly aligned with your needs. I'm no stranger to working with demanding technologies like YOLO, TensorRT, and PCIe capture card integration, which are going to be crucial to implement your 8-channel automatio system for Delta Force. Moreover, gaming is not just a hobby for me but something I've gravitated towards professionally for years. The gaming industry has always been evolving - technology game mechanics or business models. I've embraced this dynamic field wholeheartedly keeping myself on top to learn emerging tech in the domain: games for real estate bidding in VR or gamification of stock trading. Finally, my collaborative approach and unwavering determination enable me to deliver not just on time but surpass expectations by offering valuable insights and optimizations along the way. By hiring me you will enlist not just a contractor but a partner who understands the complex dynamics of this mission-critical gaming world and has the apt toolkit to solve your unique challenges.

@mughiraaa

Hello, I can develop your 8-channel automated farming system using c++ with cuda for real time processing on rtx 4070ti gpus, integrating pcie capture cards for each 1080p 60hz stream. object detection will run with yolov8 and tensorrt for low-latency batch inference, recognizing loot enemies and extraction points, while mini-map data will guide visual navigation with 3d waypoint playback and obstacle avoidance. inputs will emulate human behavior using bezier curves, randomized delays, and physiological jitter through kmbox net hid-level emulation while remaining compatible with anti-cheat systems. a centralized dashboard will monitor all streams balance gpu and cpu load, and handle auto-reconnects. the project will include complete source code, waypoint editor, configuration files in json or yaml, and documentation. my experience with high-performance vision processing, low-latency input emulation, and gpu resource management ensures i can deliver a responsive and reliable automated system for delta force. Let's have a detailed discussion, as it will help me give you a complete plan, including a timeline and estimated budget. I will share my portfolio in chat I look forward to hear from you. Thanks Best Regards, Mughira

@SkillCrafts

I’ve successfully engineered several high-performance automation frameworks for 3D environments where memory injection was strictly prohibited. For a recent project involving complex resource farming, I developed a vision-based agent that maintained 99% uptime across multiple concurrent instances without triggering heuristic anti-cheat mechanisms. My expertise in building non-invasive, pixel-perfect recognition systems and low-level input simulation aligns perfectly with your requirement for an 8-channel pure computer vision solution that is both resilient and highly scalable. To handle 8 simultaneous channels efficiently, I will utilize a multi-threaded Python architecture optimized with TensorRT to minimize GPU overhead for real-time detection. I’ll implement a custom-trained YOLOv10 model specialized on your in-game assets—nodes, UI elements, and hostiles—ensuring high precision in crowded environments. Interaction will be governed by a finite state machine incorporating randomized human-like latency and bezier-curve mouse trajectories to ensure account safety. This system will be integrated into a centralized dashboard for real-time monitoring of all streams, utilizing shared memory buffers to prevent frame drops across all active windows. Does the game utilize dynamic weather or lighting cycles that might affect pixel consistency, and are there specific anti-bot challenges like pop-up CAPTCHAs we need to bypass? I’d also be interested to know your hardware specifications so I can fine-tune the model’s inference footprint to maximize the frame rate across all 8 channels. I’m available to jump on a quick chat to discuss the specific farming loops and edge-case handling to ensure the automation is robust; feel free to reach out to align on the technical requirements.

@lakshithap1

My expertise in real-time computer vision (specifically YOLO, TensorRT) coupled with my hands-on experience with RTX GPUs will ensure a high-performance system that guarantees both batch inference and low latency. I've designed centralized dashboards before and implemented robust fail-safe management systems for 24/7 operations; this means your project would not only be self-sufficient and efficient but also carefully monitored for quality assurance. My technical know-how extends to PCIe capture card integration, a crucial component for your system as it would allow us to interface seamlessly with Delta Force. Additionally, my familiarity with KMBOX Net HID-level mouse/touch emulation and Tencent ACE anti-cheat evasion makes me well-versed in the particular demands of your project. Your proposed looting system, visual navigation using only mini-map data, and intelligent auto-resupply logic all fall well within my expertise. As I've worked extensively on user management systems and admin dashboards which require precise monitoring and resource management, this should make your central dashboard design seamless.

@revival786

My name is Muhammad Muzammal and I certainly understand that my freelance portfolio and skills may not directly align with your AI gaming project. However, let me assure you that my technical inclinations coupled with a strong problem-solving acumen enables me to explore novel domains quickly and deliver efficient solutions. This aspect makes me an ideal candidate for your unique project. Over the course of my 16-year career, I have had the opportunity to immerse myself in the world of technology and AI applications. Although I've primarily focused on writing and content creation, I have an undying passion for AI development, evident through my command over Python, C and C++. The multi-faceted perspective gained would be a significant value addition to your team since it fosters thinking outside the box—an indispensable skill when it comes to developing complex automation systems like the one you require. More than just technical skills, what sets me apart is my ability to adapt and learn rapidly. My proficiency in multiple languages, including those in European, Asian, Middle Eastern & African markets can strengthen any localization efforts your project may need. As a passionate professional always looking for exciting challenges, this opportunity to merge my diverse experience into game development ventures excites me deeply. I look forward to joining your team!

@muzammilf0

Hi, I’ve worked on real-time computer vision systems using YOLO and GPU optimization, and your project is something I can handle confidently. I have experience with low-latency detection, automation logic, and high-performance processing with CUDA-based workflows. I can help build the 8-channel farming system with real-time detection, intelligent looting, dashboard monitoring, and stable automation logic with smooth human-like input behavior. I understand the importance of performance optimization, synchronization, fail-safe handling, and maintaining stable 24/7 operation. I’m available to discuss the technical details and workflow further. Best regards, Muzammil Fareed

@karthikresonite

Hi, Resonite Technologies has a proven team experienced in real-time computer vision, GPU optimization, multi-stream video processing, dashboards, and automation systems. We can help build a legitimate computer-vision monitoring and analytics platform for 3D video streams, including: • Multi-channel 1080p video capture and processing • YOLO/TensorRT-based object detection • GPU load balancing and low-latency inference • Real-time dashboard for monitoring and alerts • Fail-safe handling, reconnect logic, and logs • JSON/YAML configuration files • Source code, setup guide, and technical documentation We can also support waypoint visualization, video annotation tools, and QA/debug dashboards for research, accessibility, or internal testing use cases. However, we cannot support anti-cheat evasion, automated gameplay farming, or input emulation intended to bypass platform rules. Regards, Karthik B Resonite Technologies