#computer-vision
29 episodes
#4672: How Magic Eraser Tools Actually Work: Segmentation + Inpainting
Two AI stages — pixel-level segmentation and generative inpainting — explain how your phone erases objects cleanly.
#4575: Measuring Rooms with Fiducial Markers: AprilTag vs ArUco
AprilTags, ArUco, ChArUco — which marker system actually helps you measure a room from a photo? We break down the tradeoffs.
#4496: How to Find Anything in Israel with Google Lens
A visual search hack for finding products in Israel's fragmented e-commerce market — and why an MCP solution could automate it.
#4462: How AI Imagines Your Skeleton
From image to fully rigged 3D model — the six computational stages that turn photos into animated characters.
#4449: Blur Before You Publish: Image Redaction Tools
How to automatically find and blur QR codes, credit cards, and sensitive text in photos before publishing.
#4415: Why Your Phone Scan Fails (and How to Fix It)
AI scanners are amazing—until they fail on glare or white paper. Here's how to fix it with stuff you already own.
#4169: Change Detection AI for Construction Sites
How AI catches what experts miss in construction site photos — from Siamese networks to transformer models.
#3953: Bats in Your Bumper: Parking Sensors vs. Lane Keeping
Ultrasonic parking sensors vs. highway lane keeping—two radically different technologies that answer the same question.
#3641: Archaeology’s Ray Gun Era: Drones, LiDAR & AI on Digs
Drones, ground-penetrating radar, and AI are transforming archaeology. The fine brush is just 5% of the story.
#2939: Can a Security Camera Detect a Baby Not Moving?
Can AI tell when a baby is about to fall—or has stopped moving? We break down what's possible and what's not.
#2825: The Patient Who Filmed His Own Bloating
How to set up cameras, markers, and time-lapse to capture abdominal distension for clinical or AI analysis.
#2688: Intelligent Frame Extraction for Multimodal AI
Use multimodal AI and smart frame extraction to turn a walk-through video into an actionable decluttering plan.
#2668: When a Flamethrower Is Overkill
Tesseract, EasyOCR, or a cloud vision model? How to build a fast, reliable label scanner for real-world conditions.
#2657: When Puppeteers Stopped Hiding
Background removal isn't magic — it's multiple AI systems working in sequence. Here's what's actually happening under the hood.
#2546: The Invisible Engineering Behind a Single Click
The technical stack behind click-to-edit features in tools like Canva and Google Photos — from segmentation to inpainting.
#2539: When Does AI Stop Hallucinating and Start Reconstructing?
What happens when you feed hundreds of photos into an AI world generator — do you capture reality or just a convincing dream?
#2352: The Structured Output Gap in Vision APIs
How do object detection APIs like Gemini, AWS Rekognition, and YOLO compare for automated annotation workflows?
#2325: Why Depth Is the Hardest Thing for AI to See
Can AI turn your apartment photos into a precise 3D model? Explore the tech behind photogrammetry and spatial reconstruction.
#2089: Open-Source vs. Military ATR: The Drone Recognition Gap
A public GitHub model spotted by a listener reveals the massive gap between hobbyist AI and lethal military drone detection systems.
#1964: The Three Layers That Make AR Finally Work
See a 3D arrow pointing to the exact bolt you need, or read a street sign in real-time translation.
#1963: RPA: Dead or Just Getting Smart?
Traditional RPA is brittle and blind. See how AI vision and agentic orchestration are turning it into a self-healing powerhouse.
#1962: Moravec's Paradox: Why Robots Can Write Poetry but Can't Fold a Fitted Sheet
We explore the tech letting robots "reason" about physical tasks using vision-language-action models.
#1855: When AI Makes Game Assets, Who Owns the Art?
From blocky polygons to photorealistic assets, AI is transforming how 3D models are made.
#1817: The Hidden Taxonomy of AI: Why Specialized Models Outperform Giants
Explore the vast ecosystem of niche AI models for computer vision and document understanding, far beyond large language models.