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TMTom Mathewridingbluewaves.hashnode.dev6d ago · 11 min read

Riding the Blue Wave: Building Autonomous Intelligence on the Edge #06

I'll start with the confession. My README said the system ran at 10.3 FPS with a real-time parallel pipeline. When I sat down and actually measured it running with the display on, it managed 2–3 FPS,

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TMTom Mathewridingbluewaves.hashnode.dev6d ago · 10 min read

Riding the Blue Wave: Building Autonomous Intelligence on the Edge #05

Every object detector gives you a confidence score, and the beginner's instinct is to trust it directly: high score means hazard, act on it. On a single image, fine. On a live video stream from a boun

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TMTom Mathewridingbluewaves.hashnode.dev6d ago · 12 min read

Riding the Blue Wave: Building Autonomous Intelligence on the Edge #04

Adding threads to a system is easy. Adding threads without turning it into a minefield of race conditions, priority inversions, and mysterious frame drops is the actual engineering. In Episode 2 I des

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TMTom Mathewridingbluewaves.hashnode.dev6d ago · 11 min read

Riding the Blue Wave: Building Autonomous Intelligence on the Edge #03

In the last episode I walked through the system architecture, the asynchronous multi-threaded pipeline that keeps the whole thing real-time. This episode goes one level deeper, into the part everyone

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IEIyanuoluwa Enoch Okefreecodecamp.orgJul 25 · 14 min read

How to Build a Real-Time Object Detection and Tracking Pipeline with ROS 2 and YOLOv11

If you've ever tried to build a robotics system that can actually see, track, and respond to the world around it, you know that the hard part isn't training a detection model. The hard part is making

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Ccircuitrockscircuitrocks.hashnode.devJul 19 · 2 min read

Run YOLO Vision Models on Raspberry Pi 5 Using Intel OpenVINO

A Raspberry Pi 5 sitting next to a USB camera can now run a YOLO object-detection model at usable frame rates, with no cloud GPU and no workstation in the loop. That is the setup Intel and Ultralytics

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MSManikanta SSBssbb7.hashnode.devJun 9 · 7 min read

I Spent Weeks Fighting OCR Before Realizing I Was Solving the Wrong Problem

Heads-up: The figure captions in this article are clickable. Click on any figure caption to view the associated outputs, visualizations, and intermediate results discussed in that section. Hey guys, i

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CVChirag Vijaychirag4862.hashnode.devApr 29 · 8 min read

I Fine-Tuned YOLO to Understand Document Structure — Here's How It Works

There's a class of problem in document AI that sounds deceptively simple: look at a page, figure out what's on it. Not read the text. Not classify the document. Just answer: where is the table? where

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SSOLARTODOsolartodo.hashnode.devApr 14 · 13 min read

How AI Traffic Systems Detect 30+ Violation Types in Under 50 Milliseconds — The Edge Computing Pipeline Behind Modern Enforcement

Traditional traffic cameras take a photo when a loop detector senses a vehicle. The photo goes to a server. The server runs license plate recognition. A human operator reviews the image and confirms t

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OWOliver Wengedge-insights.hashnode.devApr 8 · 6 min read

🚀 Edge AI & Efficient Computing | Bi-Weekly News: # 2

🎉Welcome to the second post of Edge AI & Efficient Computing! 👋 I’m Yuqin (Oliver) Weng, and I’m incredibly passionate about pushing the boundaries of AI on constrained devices. 🧠I created this spa

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Trending tags this week

Riding the Blue Wave: Building Autonomous Intelligence on the Edge #06

Riding the Blue Wave: Building Autonomous Intelligence on the Edge #05

Riding the Blue Wave: Building Autonomous Intelligence on the Edge #04

Riding the Blue Wave: Building Autonomous Intelligence on the Edge #03

How to Build a Real-Time Object Detection and Tracking Pipeline with ROS 2 and YOLOv11

Run YOLO Vision Models on Raspberry Pi 5 Using Intel OpenVINO

I Spent Weeks Fighting OCR Before Realizing I Was Solving the Wrong Problem

I Fine-Tuned YOLO to Understand Document Structure — Here's How It Works

How AI Traffic Systems Detect 30+ Violation Types in Under 50 Milliseconds — The Edge Computing Pipeline Behind Modern Enforcement

🚀 Edge AI & Efficient Computing | Bi-Weekly News: # 2