You will get custom object detection and face recognition apps using yolo
Project details
Are you struggling to get accurate detections or looking to automate a visual task?
I am a Computer Vision engineer specializing in YOLO11 and State-of-the-Art Face Recognition. I don't just write code; I build robust systems that work in real-world conditions, handling occlusion, low light, and moving targets.
My Core Services:
Custom Object Detection: I will train YOLO11/v8 to detect your specific objects (e.g., defects, vehicles, logos, weapons).
Object Tracking: Preventing "flickering" detections using DeepSort or ByteTrack for counting and trajectory analysis.
Face Recognition: Secure attendance systems, access control, or VIP identification using InsightFace or FaceNet (Liveness detection included).
Pose Estimation: Gym form analysis or gesture control.
What You Get With Every Order:
Annotated Data Review: I check your data quality before training.
Training Metrics: Confusion matrix and mAP graphs to prove accuracy.
Inference Script: Clean Python code to run the model on images/video/webcam.
Recent Projects:
Automated License Plate Recognition (ALPR)
Employee Face Attendance System with Anti-Spoofing
Construction Site Safety (PPE Detection)
I am a Computer Vision engineer specializing in YOLO11 and State-of-the-Art Face Recognition. I don't just write code; I build robust systems that work in real-world conditions, handling occlusion, low light, and moving targets.
My Core Services:
Custom Object Detection: I will train YOLO11/v8 to detect your specific objects (e.g., defects, vehicles, logos, weapons).
Object Tracking: Preventing "flickering" detections using DeepSort or ByteTrack for counting and trajectory analysis.
Face Recognition: Secure attendance systems, access control, or VIP identification using InsightFace or FaceNet (Liveness detection included).
Pose Estimation: Gym form analysis or gesture control.
What You Get With Every Order:
Annotated Data Review: I check your data quality before training.
Training Metrics: Confusion matrix and mAP graphs to prove accuracy.
Inference Script: Clean Python code to run the model on images/video/webcam.
Recent Projects:
Automated License Plate Recognition (ALPR)
Employee Face Attendance System with Anti-Spoofing
Construction Site Safety (PPE Detection)
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Amazon SageMaker, Azure Machine Learning, Keras, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 2 days | 7 days | 14 days |
Number of Revisions | 0 | ||
AI Model Integration | - | - | |
Detailed Code Comments | |||
Knowledge Graph | - | - | - |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Frequently asked questions
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Rimal B.
May 11, 2025
Figma Editing Specialist Needed for Design Projects
About Muhammad Umar
AI Engineer for Computer Vision and Generative AI
Lahore, Pakistan - 10:27 am local time
Core Expertise:
• Computer Vision: Real-time object detection & multi-target tracking (YOLO, PyTorch, OpenCV).
• GenAI & LLMs: RAG pipelines, multi-agent systems & Local LLMs via LangChain.
• Backend: High-concurrency FastAPI & GPU acceleration.
I deliver production-ready AI applications. Let’s automate your next big idea!
Steps for completing your project
After purchasing the project, send requirements so Muhammad Umar can start the project.
Delivery time starts when Muhammad Umar receives requirements from you.
Muhammad Umar works on your project following the steps below.
Revisions may occur after the delivery date.
Project Scoping & Data Audit
We discuss your use case, environment, and goals. I will review your annotated dataset to ensure data quality, identify imbalances, and fix errors before training begins.
Data Preprocessing & Augmentation
I prepare your data for training by applying augmentation techniques to handle real-world conditions like occlusion and low light, ensuring the final model is highly robust.