Zero-Latency Motion Tracking with OpenCV
Heavy machine learning models don't work everywhere, especially not on the edge where computing power is not as good. I have recently developed a si…
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How I Built VisuDock: A Local-First OpenCV & RapidOCR Desktop App for Live Cameras
Hi everyone! 👋 I want to share a desktop application I’ve been developing called VisuDock Live OCR. It turns standard CCTV cameras, webcams, RTSP fe…
# Understanding Computer Vision: From Pixels to Object Detection
Introduction Computer vision is a field of artificial intelligence that enables computers to process and understand images and videos. It can be use…
A five-corner label broke my OpenCV capture loop
A shipping label looked complete in a GLS parcel photograph. My capture loop asked for another photo with all four edges visible. The failure starte…
ParkRep: film your set, see how close to failure you got
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass What I Built For hypertrophy, a set does its job when it end…
Building a Resilient Vision-Guided Desktop RPA Engine in Python (Without $15k/yr Enterprise Licenses)
Building a Resilient Vision-Guided Desktop RPA Engine in Python (Without $15k/yr Enterprise Licenses) If you work in finance, logistics, healthcare,…
On-Device Computer Vision in React Native: Auto-Aligning Progress Photos with MediaPipe and Expo
A person can take thirty photos of the same face and still produce a timelapse that looks like camera shake. On Monday they stand closer to the mirr…
Building a Photo-Based Card Grader: Computer Vision Where the LLM Doesn't Pick the Score
Trading-card grading looks like an image-classification problem until you try to build it. A grade is driven by several physical properties at once:…
Discriminative Fine-Tuning: Why Your Backbone and Your Head Shouldn't Learn at the Same Speed
I was recently fine-tuning DEIMv2 — a DETR-style detector with a DINOv3 Vision Transformer backbone — starting from a COCO-pretrained checkpoint, to…
"You Got a Labeled Dataset. Here's How to Actually Verify It's Trustworthy."
Worked example: Suppose you're spot-checking a batch of vehicle bounding boxes against a small gold-standard subset. One box overlaps its reference…
Building an Edge AI People Counter: The Parts After Detection
A working people counter produces an entry or exit event, not a box drawn around a person. The detector is only one part of the job. A camera frame…
DIY AI Physical Therapist: Real-Time Pose Correction with React Native and MediaPipe
Have you ever tried doing physical therapy exercises at home, only to wonder if your form is actually helping or just making things worse? 🤕 Traditi…
Running ML models in the browser with ONNX Runtime Web: a practical guide
FaceVision does face detection, recognition and liveness checks without sending a single frame to a server, because every model runs in the browser…
Choosing Video Frames by Content Instead of by a Clock
Code: Megapixel99/video-timeline The usual way to hand a video to a language model is to pull a handful of screenshots and let it reason over them.…
I taught my hand gestures to run an AI coding agent
A few weekends ago I got annoyed at typing prompts into a terminal and decided the fix was, obviously, to control my AI agent with hand gestures ins…
Resolving Algorithm Output Inconsistencies When Porting Computer Vision from Python OpenCV to Niche Frameworks
Introduction Porting computer vision algorithms across frameworks—such as from Python with OpenCV to a niche image processing platform—inevitably ex…
The Critic Panel: Teaching an AI Pipeline to Check Its Own Work
Every critic in the main video-generation service's pipeline started with the same structural limit: it graded one picture. Is this frame composed c…
Three Phases of AI B-Roll: From Manual Beats to Vision-Authored Cutaways
B-roll is what makes a UGC testimonial feel edited rather than generated. The presenter talks to camera; cutaways show the product in hand, the labe…
Can AI Remember What It Sees?
So, I have been asking myself this question for quite a while, Can AI actually remember what it sees? and tell a user later that "I saw X at place Y…
Why scrolling screenshots fall apart on video feeds
I maintain a small Android app that stitches a scrolling screen into one long image. It worked well until people started pointing it at social feeds…
I built a full image editor that never uploads your photo — here's how the on-device AI parts actually work
Most background-removal and object-removal tools online work the same way: you upload an image, a server runs a model on it, you download the result…
The Matte Learns Only Inside the Band
A bad cutout rarely announces itself as a bad cutout. The car lands on a new backdrop, the paint looks clean, then a thin piece is gone. An antenna.…
Android Computer Vision for Robot Navigation
Android Computer Vision for Robot Navigation Introduction Navigation requires a robot to understand its surroundings. Cameras can provide useful vis…
Multimodal AI: how a text model learns to see
A model that only ever read text now looks at a photo of your fridge and suggests a recipe. Nothing about "predicting the next token" obviously expl…
How Two-Stage Object Detectors Went From 47 Seconds to Real-Time-Adjacent
Object detection has two broad architectural families: one-stage detectors that predict boxes and classes directly in a single pass, and two-stage d…
Stop Slouching! Build a Real-Time Spine Posture Monitor using MediaPipe and Python
We’ve all been there: hunched over a keyboard at 3 AM, neck craned forward like a turtle, debugging a race condition. "Tech neck" isn't just a meme;…
Decoupling Physical Control and Reasoning: DeepMind's Gemini Robotics 2 Architecture
Why Decouple Reasoning from Motor Control General-purpose robots have to pull off two very different jobs at once. They need to read a cluttered, fu…
Segmentation Is Not the Finish Line
A car can be cut out cleanly and still look pasted on. The outline is right. The tires touch the ground. The mirrors have no halo. The giveaway is l…
CarSegNet v2: One Lot Photo to a Showroom Composite
A buyer does not open a listing and ask what the mask IoU was. They look at the mirror stalk, the antenna, the gaps between wheel spokes, the glass,…
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…