ARAI3D Visualization
Next-Gen Archery with AR, AI & 3D Tools
A cutting-edge iOS application combining AR, AI, and 3D visualization to revolutionize archery performance tracking, delivering real-time trajectory insights and precision shot analysis.
High-Fidelity MVP
AI-Powered GameplayAnalysis System
Transforming screen recordings into actionable performance insights with high-fidelity computer vision and neural networks.
Project Overview
Competitive esports requires rigorous review of gameplay. However, existing methods are either painfully manual or blocked by restricted game APIs. This system bypasses these limitations by "watching" the screen just as a human coach would, but with the speed and precision of AI.
PROBLEM
Manual review time is slow; Restricted game APIs.
AUDIENCE
Competitive Gamers & Esports Coaches.
VISION
Automated, deep performance insights from video.
IMPACT
60-70% reduction in session review time.
Automate Analysis
Removing the bottleneck of manual clip tagging.
Scalable Systems
Works across titles without requiring API access.
Deep Insights
Extracting positioning, timing, and aim metrics.
Real-time Core
Low-latency processing for immediate feedback.
The Tech Stack
A robust combination of computer vision libraries and modern web architecture.
Python
YoloV8
Scikit_Learn
Tesseract_OCR
OpenCV
Next.js
Node.js
MongoDB
THE CHALLENGE
High Variability & Real-Time Constraints
Handling diverse resolutions, bitrates, and visual skins across different gaming setups presented a significant hurdle. The system needed to process 60 frames per second without missing critical events like a millisecond-long killshot update.
Skin & Cosmetic Variability: AI models must ignore custom player skins.
In-game dynamic lighting: Changes in game maps affecting OCR reliability.
Processing Overhead: Balancing depth of analysis with processing cost.
Processing Frame 4529...
// Processing Frame 4529...
DETECTED: Enemy_Player [Conf: 0.90]
DETECTED: Head Hitbox [Conf: 0.89]
OCR_READING: "killed by SnipeHero_01"
Analysis buffer: 92% complete
01. Optimized Video Pipeline
Our pipeline handles raw recordings by intelligently down-sampling and focusing only on 'action-heavy' sequences, reducing redundant computation by 40%.
02. Computer Vision Event Detection
Using custom-trained YOLOv8 weights, we detect unique character abilities, tactical equipment usage, and positioning errors with coach-like precision.
03. The Insight Engine
Beyond raw data, our engine correlates positioning with win rates, providing heatmaps and specific coaching advice like 'You are over-peeking corners in 2v1 situations.'
Client Overview
Our client is a UAE-based esports organization specializing in competitive gaming and event management
The Future of Competitive Play
From individual growth to team-wide strategic dominance, our AI-driven approach is setting the new standard for performance analysis in the digital age.
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