I will ai powered object detection and motion tracking for video analysis

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 an AI-powered computer vision solution that detects, tracks, and analyzes motion in video content. This gig focuses on converting raw footage into structured motion intelligence that can be used for analytics, reporting, or automation.


The system detects objects or faces, assigns stable IDs, and tracks movement across frames even in dynamic or crowded environments. Motion analysis includes trajectory extraction, movement direction, speed estimation, and activity intensity over time.


This solution is ideal for sports analysis, automated monitoring, training evaluation, and intelligent video platforms. It can be applied to recorded footage or optimized for real-time processing depending on your technical requirements.


Deliverables may include annotated videos, motion overlays, structured analytics data (CSV or JSON), or integration-ready outputs for dashboards and applications. I emphasize clean system design, scalability, and explainable results.


Due to NDAs, I do not share client samples, but I provide clear explanations of the approach, model selection, and expected performance. Every project is customized to your specific use case and deployment goals.

APIs:

Microsoft Computer Vision AI

Amazon Rekognition

Expertise:

Image processing

Feature learning

Classification

Programming language:

Python

MATLAB

SQL

Java

MLflow

Tools:

OpenCV

TensorFlow

MLflow

SimpleCV

Deep Dream Generator

Frameworks:

DeepPy

Google ML Kit

SimpleCV

Keras

PyTorch