I will create real time object tracking and motion analysis computer vision

United States

I speak English, French, Spanish, Italian, German, Arabic

AI Vision for Smarter Sports Decisions

Micgeec is a Computer Vision and Sports AI brand focused on transforming sports video into clear, actionable intelligence. I specialize in object detection, player and ball tracking, face recognition,...
About this Gig

I will develop a robust AI computer vision system for real-time object tracking, face recognition, and motion analysis. This gig is built for practical use cases where understanding movement, behavior, and spatial dynamics from video is critical.


The system detects and tracks multiple objects or faces simultaneously while maintaining identity consistency across frames. Motion analysis includes trajectory extraction, movement intensity, speed estimation, and directional patterns. The solution is suitable for sports analysis, smart monitoring, automated video analytics, and AI-powered applications.


You can use the system on pre-recorded videos or live camera feeds depending on your requirements and hardware setup. Deliverables may include annotated videos, structured motion data, visual overlays, or integration-ready outputs for your platform or application.


I focus on scalable, production-ready pipelines using proven deep learning models and tracking algorithms. Accuracy, stability, and explainability are prioritized over experimental.

APIs:

Microsoft Computer Vision AI

Amazon Rekognition

Expertise:

Image processing

Classification

Sentimental analysis

Programming language:

Python

MATLAB

SQL

Java

MLflow

Tools:

OpenCV

TensorFlow

MLflow

SimpleCV

Deep Dream Generator

Frameworks:

DeepPy

Google ML Kit

SimpleCV

Keras

PyTorch