You will get Real-Time AI Face Recognition with Smart Caching and GPU Optimization
Project details
You will get a production-ready, real-time face recognition system built for speed, accuracy, and scalability. I specialize in developing AI-powered surveillance systems using cutting-edge tools like InsightFace, YOLO, FAISS, PyTorch, and GPU acceleration.
This project — Smartface Sentinel — is already deployed in commercial environments (e.g., casinos and security sectors), where it handles 100+ recognition requests per second with low latency and smart caching.
With over 2 years of AI engineering experience in high-performance, mission-critical environments, I deliver solutions that are scalable, optimized, and easy to monitor. The system includes a full API suite, live dashboards, and intelligent memory management.
Whether you need face recognition for access control, surveillance, VIP tracking, or real-time analytics, I can help you build and deploy a custom solution tailored to your needs — 100% original, optimized, and commercially proven.
This project — Smartface Sentinel — is already deployed in commercial environments (e.g., casinos and security sectors), where it handles 100+ recognition requests per second with low latency and smart caching.
With over 2 years of AI engineering experience in high-performance, mission-critical environments, I deliver solutions that are scalable, optimized, and easy to monitor. The system includes a full API suite, live dashboards, and intelligent memory management.
Whether you need face recognition for access control, surveillance, VIP tracking, or real-time analytics, I can help you build and deploy a custom solution tailored to your needs — 100% original, optimized, and commercially proven.
AI Development Type
Deep Learning, Model Tuning, Software MaintenanceAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$200
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | - | |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Frequently asked questions
About Anas
AI Engineer | Computer Vision & Automation Specialist
Negombo, Sri Lanka - 5:19 am local time
🔹 Key Projects & Achievements
• Real-Time Face Recognition System – Designed and deployed a high-speed recognition platform capable of identifying over 250,000 unique individuals with sub-second response time, used for both security and marketing applications in high-traffic environments.
• Automated Baccarat Chip Counting System – Developed a fully automated system to detect, classify, and count casino chips in real time across multiple tables, ensuring 100% accuracy and seamless integration into existing casino infrastructure.
• Trash Sorting with CV, IoT & Robotics – Built an intelligent trash-sorting system integrating computer vision with robotic arms and IoT devices for efficient waste classification and management.
• AI Workout Planner – Created a personalized workout planner powered by AI, allowing users to generate goal-oriented fitness plans based on training level, available days, and environment (home or gym).
• U.S. Sanction List Compliance System – Developed a secure identity screening tool that checks user records against U.S. and global sanction lists to support compliance for financial and legal institutions.
• Multi-Model Object Detection Pipelines – Engineered a suite of object detection models using YOLOv8 to handle various tasks such as object extraction, chip classification, layout detection, cage detection, and object counting, with seamless integration into a real-time image processing pipeline.
🔧 Technical Skills & Tools
• Languages & Frameworks – Python, Flask, FastAPI, Shell scripting
• AI & ML Libraries – YOLOv8, InsightFace, OpenCV, TensorFlow, PyTorch, scikit-learn
• Real-Time Systems – WebSocket, eventlet, Flask APIs optimized for high-throughput request handling
• Database & Backend – PostgreSQL, MySQL, SQLAlchemy
• Deployment – Docker, Git, systemd, Linux shell, multi-service orchestration
• Annotation & Data Prep – Roboflow, LabelImg, custom scripts for dataset filtering and enhancement
• Hardware & Edge Integration – GPU acceleration, multi-camera synchronization, edge computing optimizations
🎓 Education
BSc (Hons) in Computer Science with a specialization in Artificial Intelligence
2+ years of professional experience as an AI Engineer, including roles as Team Lead
I am passionate about building intelligent systems that are not only technically sound but also deliver measurable business value. Whether you need to deploy a custom face recognition solution, automate a manual process using AI, or integrate complex computer vision pipelines into your application, I bring the skills, experience, and mindset to deliver high-impact results.
Let’s work together to bring your AI ideas to life.
Steps for completing your project
After purchasing the project, send requirements so Anas can start the project.
Delivery time starts when Anas receives requirements from you.
Anas works on your project following the steps below.
Revisions may occur after the delivery date.
Project Requirements Review
Analyze provided specs, camera feeds, and objectives to plan the system structure.
System Design & Architecture
Design the server–client architecture based on performance needs and scalability.