Carlos Melo’s Post

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Computer Vision Engineer | MSc in Aerospace Engineering

Inspired by Piotr Skalski speed estimation tutorial on Roboflow I'm creating a project/tutorial/system that detects and track objects in the airport area using YOLOv8/v9 and Supervision. Initially, I considered using a bird's eye perspective to identify and monitor the positions of people, aircraft, and pushback tractors. However, I was not able to find good footage with a suitable perspective. 😢 So, I decided to start with a simplified version focused on estimating aircraft speed during takeoff. The project currently has three main classes. The next step in the project is to develop a class for positioning objects onto a reference image (aerodrome chart, satellite imagery). While still under development, you can follow the repository (link below) and share your thoughts! 🔗 https://lnkd.in/d-RT4gie

Piotr Skalski

Open Source Lead @ Roboflow

5mo

This is sooo cool! Projects like this are why I build my tutorials. Two questions: - Why not visualize all planes? - Can I share it on Twitter? haha

Iggy Jovanovic

Helping performance leaders make championship-winning decisions faster, with the AI performance technology that helped win gold medals at the Olympic Games.

5mo

Great job Carlos Melo 👍🏻 Keep up the solid work!!

Toàn Diệp

Student at CAN THO UNIVERSITY AI VIETNAM

5mo

How to get a map of the flight path. What I mean is coding

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Alvaro Patricio

AI in Computer Vision | Double Master's in Aerospace Engineering

5mo

Amazing job, eager to test

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Austin K. W.

Founder & President @ GovTech Labs Intelligent Transportation & Connected Community Enthusiast // GovTech Advisor // Californian Living in the Rockies // Optimistic Realist

5mo

Bob Bennett Willem Fast 🛩️ 📹👀

Pablo Alustiza

Crafting Autonomous AI Workforces to Humanize Tech and Create Hybrid Teams /// Creative UX Designer | 17+ years in Advertising | 8+ years UX/UI Product Design | 10+ AI Agents in 6 months | genAI Workshops

5mo

Love it!!! Keep us posted!!! Congrats Sir

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