The Model Is the Easy Part: What a Real-Time Computer Vision Product Actually Takes
I used to think computer vision was a model problem. It is a pipeline problem, and the model is the easy part. Here is the pattern I keep seeing. A te…
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I Built a Real-Time Perception Stack on CARLA. Here Is What Actually Happened.
I want to tell you about the three weeks I spent making YOLO and ROS 2 talk to each other inside a simulator, and why it was nothing like the tutorial…
I Taught a Security Camera to Say "I Don't Know" — and It Got More Useful, Not Less
Somewhere around day four of building a doorbell-camera AI for a hackathon, I caught my own system lying to me. Not maliciously — it was just guessing…
Bridging the Frame Gap: Robot-Centric Pointmaps for VLA Models
What Changed In the rapidly evolving field of Vision-Language-Action (VLA) models, a fundamental architectural challenge has persisted: the frame mism…
Audio-Visual Flamingo: Advancing Open-Source Intelligence for Long-Form Video Reasoning
What Happened In a significant development for the field of artificial intelligence, researchers have unveiled Audio-Visual Flamingo (AV-Flamingo), a …
Building a Real-Time Computer Vision Dashboard on the Web: The OmniVision Pro Story
Let’s face it: running computer vision models on your local machine is straightforward, but deploying them to the open web with true real-time perform…
A Kalman Filter Is a Memory System
Three problems that look unrelated: A vibration sensor on a motor gives you a jittery reading every second. You want to know the actual wear on the be…
Vision Language Models — When AI Learns to See and Talk (Part 3 of 3)
Originally published on my blog . Cross-posted here with a canonical link. This is Part 3 of a 3-part series on the transformer revolution in vision a…
Don't Buy It, Build It: Crafting an Open-Source, Edge-Computing AI Dashcam
Preface Every day, thousands of creative ideas sit completely dormant on workshop shelves around the world. A high-performance microprocessor sits in …
Channels-last memory format cut our conv backbone latency 22%
TL;DR: Switching our convolutional segmentation backbone to PyTorch's channels-last memory format cut inference latency by about 22% on A100s, with no…
The SDXL VAE overflow that decoded black images in fp16
TL;DR: The SDXL VAE decoder pushes activations past 65504, the max value fp16 can hold, so the last decode step overflows to inf and you get a fully b…
How I Built Production-Grade AI Systems While Still a Student
🚀 Hello, DEV Community! I'm Nader Al Shawki , a final-year AI Engineering student at Al-Razi University, Yemen. This is my first post here, and I'm ex…
Image Reconstruction Using Deep Learning: A Complete Guide
A comprehensive guide covering history, techniques, datasets, algorithms, tools, real-world applications, and final year project ideas for image recon…
An AI Module Smaller Than a Smartphone Photo. Are We Underestimating the Computer We Carry Every Day?
The Idea and the Main Engineering Challenges Recently, I released a new offline AI feature for my Android application as a separate module. The entire…
QAT vs PTQ on our edge vision model: 6 months of A/B data
TL;DR: We ran post-training quantisation (PTQ) and quantisation-aware training (QAT) side by side on the same defect-classification model deployed on …
Stop retraining YOLO: a developer’s guide to zero-shot object detection with generative VLMs
If you have ever maintained a computer vision pipeline in a factory, warehouse, or construction site, you already know the drill. You spend weeks coll…
How We Built a Contactless Digital Signature App inside the Browser (No Servers, 100% Private)
Traditional digital signature platforms have two major issues: privacy and cost . To sign a document, you have to upload sensitive agreements to a thi…
How I Built a Drone-Based Crack Detection Pipeline on AWS
I needed to build a pipeline that takes drone footage of infrastructure (bridges, facades, roads), detects surface defects like cracks and corrosion, …
Why your diffusion model is slow at batch size 1 (and what actually helps)
TL;DR: Single-image diffusion inference is bottlenecked by kernel launch overhead and attention memory traffic, not raw FLOPs. torch.compile with mode…
Beyond the Basics: Offline Models, Custom Signs, and Production Scaling (Part 4)
Over the last three articles, we’ve walked through the creation of a real-time sign language translation system—from extracting body keypoints to trai…
Fine-tuning CLIP on a Niche Domain: How I Got +26pp Accuracy on Architectural Styles and What You Can Apply to Your Own Domain
Most fine-tuning write-ups end at "we got X% accuracy." This one walks through the four decisions before and after the training loop that actually mov…
🛰 Mission Drishti 📡: How GalaxEye Built the World’s 🌏 First OptoSAR Imaging Satellite 🛰
🛰️ Mission Drishti 📡: How GalaxEye Built the World’s 🌏 First OptoSAR Imaging Satellite 🛰️ The future of Earth 🌏 observation may not belong to cameras …
How CNNs Work — From Convolution Kernels to ResNet
CNNs changed computer vision because they stopped treating images like flat lists of numbers. An image has structure. Pixels near each other usually m…
I Replaced My $500 GPU with a $75 Raspberry Pi: How Gemma 4 Makes Computer Vision 10x Cheaper
This is a submission for the Gemma 4 Challenge: Write About Gemma 4 I Replaced My $500 GPU with a $75 Raspberry Pi: How Gemma 4 Makes Computer Vision …