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Thousands of people. Hundreds of cameras. One question: Can technology identify you in a crowd? Continue reading on Medium »

Learn how to build an object detection system that locates and classifies dice using CNN-based feature extraction, bounding box regression… Continue reading on

Learn how to build an object detection system that locates and classifies dice using CNN-based feature extraction, bounding box regression… Continue reading on

Building measurable spatial intelligence from monocular video with Depth Anything 3, SAM 3, calibrated cameras, and deterministic geometry Continue reading on M

This is the first blog in an upcoming series documenting the build of a computer vision project — from raw data to a complete webapp… Continue reading on Toward

This is the first blog in an upcoming series documenting the build of a computer vision project — from raw data to a complete webapp… Continue reading on Toward

Artificial Intelligence is no longer just about recognizing objects — it’s about understanding movement, behavior, and interaction. Continue reading on Medium »

In 2019, my final-year project partner, Ayesha Alhashemi, and I worked together to build a robot for our Bachelor of Software Engineering… Continue reading on M

Picture a coach standing on the sideline, watching a match from one specific angle. Now picture a drone hovering directly overhead… Continue reading on Medium »

“YOLO finds the object, while OCR reads the text on it. Powerful on their own, these two technologies become the foundation of intelligent… Continue reading on

Why I felt like cheating feeding raw 3D points into a neural net until I understood the math behind it. Continue reading on Medium »

In most computer vision tutorials, everything starts with a clean, pre-annotated dataset downloaded from the internet. But real-life… Continue reading on Medium

Abstract. The forward pass turns pixels into a prediction; this final part runs the same path backwards — how a single number, the loss… Continue reading on Med

Abstract. The forward pass turns pixels into a prediction; this final part runs the same path backwards — how a single number, the loss… Continue reading on Med

Why “Backbone,” “Embedding,” and “Prior” Feel Like a Foreign Language Even After Years in the Field Continue reading on Medium »

There’s a CVPR 2026 paper on visual inductive reasoning that’s worth walking through. The setup is simple: you’re shown a few positive… Continue reading on Medi

The model that learns to see by predicting what it cannot see Continue reading on Medium »

Open any self-driving demo and somewhere underneath there is a neural network the size of a small country, trained on more video than you… Continue reading on M

“Is it possible to summarize the performance of an Object Detection model with a single number? That’s exactly what mAP is designed to do.” Continue reading on

In our previous deep dive, we explored Local Binary Pattern (LBP) — the lightweight champion of micro-texture analysis. Running relative… Continue reading on Me

A look at where a local, open-source computer-vision workflow makes sense — and where a managed cloud platform still has the advantage Continue reading on Mediu

Artificial Intelligence is changing the way businesses work and one of the exciting new things is Vision AI. Of using people to check… Continue reading on Mediu

In this post, we walk you through the Computer Vision MCP Server, which illustrates this approach, representing how AI systems can process visual information an

“Not every Computer Vision project requires the same model. So why does YOLOv8 offer multiple model variants?” Continue reading on Medium »