You will get a fantastic Ai powered system for real time detection and tracking

1.0

Let a pro handle the details

Buy Other AI & Machine Learning services from Muhammad , priced and ready to go.
1.0

Let a pro handle the details

Buy Other AI & Machine Learning services from Muhammad , priced and ready to go.

Project details

Unlock the power of advanced computer vision with a robust, real-time detection and tracking solution designed for high-performance AI applications. I offer end-to-end development of intelligent systems that can accurately detect, track, and analyze objects in live video streams or recorded footage tailored for a wide range of real-world scenarios.

What This Service Covers:

 • Real-time object detection using state-of-the-art deep learning models (e.g., YOLOv8)
 • Multi-object tracking with high accuracy and stability
 • Custom object classes based on your specific use case
 • Optimized performance for real-time deployment (CPU/GPU)
 • Integration with cameras, CCTV systems, drones, or custom hardware

Use Cases Include:

 • Smart surveillance & security systems
 • Autonomous vehicles & drone navigation
 • Retail analytics (customer tracking, shoplifting detection)
 • Industrial monitoring & automation
 • Sports analytics & player tracking
 • AI-powered healthcare monitoring

Deliverables:

 • Fully functional detection & tracking system
 • Source code (Python / OpenCV / PyTorch)
 • Model training (if required)
 • Testing and performance validation
 • Setup guidance and support
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software Maintenance
AI Tools
Amazon SageMaker, Azure Machine Learning, Keras, MATLAB, MLflow, NVIDIA AI Platform, OpenCV, PyBrain, PyTorch, TensorFlow
AI Development Language
Python
What's included
Service Tiers Starter
$200
Standard
$500
Advanced
$1,500
Delivery Time 7 days 15 days 20 days
Number of Revisions
101010
AI Model Integration
-
Detailed Code Comments
Knowledge Graph
-
Model Documentation
Ontology
-
Source Code
Taxonomy
-
1.0
1 review
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JR

Joshua R.
1.00
Apr 24, 2026
Computer Vision Object Detection AVOID them. Beware. You can provide clear job description and he will act like it isn't part of the job. I hired him mainly to detect playing cards. The code provided only detects some cards. He claims that it is out of scope of job to provide accurate card detection, which requires training in setting of cards, as he trained without the setting, and he claims fine tuning for accurate card detection and fixing color detection is not part of the job. Clearly it is part of the job because if cards are not detected, then job is not complete.
STAY AWAY.
They wouldn't continue the job until I paid them. So, I paid them. They then refused to finish the job.
I am now with codes that are basically useless to me and about $220 USD gone and plenty of hours and about 2 months of wait time.
Even the job said to integrate the CV code into the existing provided game mechanics code. They claimed that isn't part of the job.
So, be warned. They choose to determine what the job is. That's not how freelancing works.
Muhammad A.Status: Offline

About Muhammad

Muhammad A.Status: Offline
Computer Vision Engineer | YOLO, Object Detection & Tracking | Edge AI
1.0  (1 review)
Khanewal, Pakistan - 11:35 pm local time
Most AI models perform well in training but break down in production; lighting changes, camera movement, low FPS, and noisy streams destroy accuracy. I build Computer Vision and Edge AI systems that actually hold up in the real world.

What I do:
I handle the full pipeline, dataset prep, model training, optimization, and real-time deployment for object detection, tracking, segmentation, pose estimation, OCR, and video analytics. I specialize in deploying these models on edge devices (NVIDIA Jetson, embedded ARM systems) and optimizing them for low-latency, high-FPS inference using TensorRT, ONNX, and CUDA.

Tech stack:
Python, C++, OpenCV, PyTorch, TensorFlow, YOLOv5/v8/v11, Ultralytics, ONNX Runtime, TensorRT, CUDA, NVIDIA DeepStream, FastAPI/Flask

Recent use cases:
CCTV surveillance & video analytics, industrial/manufacturing inspection, ANPR & license plate recognition, retail analytics, traffic & smart parking systems, drone vision, sports analytics
Where I deploy: Jetson Nano/Xavier/Orin, Raspberry Pi, embedded edge devices, Linux servers, cloud GPU infrastructure

If you're scaling a CV product, optimizing a YOLO pipeline, or need a model that actually performs outside the lab, let's talk about your project.

Steps for completing your project

After purchasing the project, send requirements so Muhammad can start the project.

Delivery time starts when Muhammad receives requirements from you.

Muhammad works on your project following the steps below.

Revisions may occur after the delivery date.

Recieve dataset from client, if he has some

Dataset from client will be required for fine-tuning the model on their environment but if not available, then I can have it from open-sources

Review the work, release payment, and leave feedback to Muhammad .