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…
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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…
Real-time object detection on iPhone with YOLO26
What is YOLO26 The latest object detection model, released by Ultralytics in January 2026. Compared to the previous-generation YOLO11, CPU inference i…
Our event-camera detector lost 6 mAP to a badly chosen accumulation window
TL;DR: We spent three weeks chasing a 6 mAP regression in an event-camera object detector. The model was fine. The bug was the accumulation window we …
June 9 - Visual AI in Healthcare: Ground Truth in the Foundation-Model Era
Join us on June 9 for a virtual workshop to learn how to handle expert label disagreement and build high performing fine-tuned medical foundation mode…
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 …
The bf16 grad accumulator that killed our SDXL LoRA training
TL;DR: Our SDXL LoRA fine-tune for a Photoroom product photography model trained for six days while silently corrupting its adapter weights. The cause…
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 Automated Catalog Image Extraction using Computer Vision & FastAPI
For businesses in the stone, marble, and interior design industries, managing digital catalog assets is a massive headache. When a new product catalog…
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…
Delhi Court Guts Tharoor Deepfake in Hours — and Rewrites the Rules for Every Investigator
How forensic-grade analysis is beating the 3-hour deepfake window The Delhi High Court recently issued a landmark order requiring social media platfor…
3 Seconds of Audio. A 95% Voice Clone. Why Investigators Can't Trust "Hello" Anymore.
the technical reality of AI-driven voice harvesting has reached a tipping point where a three-second "hello" is no longer just a greeting—it is a high…
AI Just Erased the Gap Between Idea and Implementation
The most consequential changes in a technical field rarely arrive as breakthroughs. They arrive as tooling updates, the moment when something that req…
On-Device Pose Estimation on iOS: What Actually Works in Production (Not Just Research Papers)
Research papers on pose estimation show impressive accuracy numbers. Production apps on consumer devices tell a different story. Here's what I learned…
🛰 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 …