You will get a vision-based real-time 3D hand tracking system
Project details
I offer a robust vision-based human hand tracking system that provides real-world 3D hand pose data (in meters/millimeters) in real-time (~25 FPS), suitable for gesture control, advanced human-computer interaction projects, and research. The system is built using MediaPipe, adaptive smoothing, scaling and non-iterative kinematic hand skeleton fitting. The code is optimized for low latency, and easily integrates with Godot Engine (see the attached video).
AI Development Type
Deep Learning, Knowledge RepresentationAI Tools
OpenCV, PyTorchAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$30
|
Standard
$50
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 2 days | 2 days | 2 days |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | - | - |
Model Documentation | |||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
About Jameel
Computer Vision | Machine Learning | Deep Learning | Regression
Rawalpindi, Pakistan - 6:42 am local time
Whether you’re looking for state-of-the-art vision-based tracking, detection, classification, or deep learning based solutions, I can help.
I have hands-on experience of working with PyTorch for developing deep learning based algorithms, C/C++, Python and MATLAB.
Steps for completing your project
After purchasing the project, send requirements so Jameel can start the project.
Delivery time starts when Jameel receives requirements from you.
Jameel works on your project following the steps below.
Revisions may occur after the delivery date.
Receive Your Input
Upon receiving your requirement, I will deliver the source codes alongwith the documentation.