# pirahansiah.com — Dr. Farshid Pirahansiah > Embedded Computer Vision & Edge AI Engineer. Computer vision, deep learning, CUDA, LLM integration, model optimization and deployment on Jetson, Hailo, and Raspberry Pi. This file is a machine-readable index of the entire knowledge base; every entry links to a full page so LLMs can traverse the site's knowledge graph. Last updated: 2026-09-04 ## Main topics - [Computer Vision & AI Engineering](https://pirahansiah.com/) — homepage & profile - [Knowledge Graph](https://pirahansiah.com/graph/) — interactive map of how all notes connect - [Search](https://pirahansiah.com/search/) — full-text search across the site - [Agent Swarm](https://pirahansiah.com/swarm/) — multi-agent research over the whole site - [In-browser LLM (WebGPU)](https://pirahansiah.com/webgpu-llm/) — local RAG over all pages ## Top-Level Pages - [AI Prompt & Agent Toolkit](https://pirahansiah.com/ai-toolkit/) — 27 battle-tested Claude Code skills, code-review agents, MCP tools, and coding rules — the AI engineering stack behind pirahansiah.com, packaged as prompt packs for modern LLMs. - [Book — Computer Vision & AI: An Engineer's Guide](https://pirahansiah.com/book/) — Computer Vision & AI: An Engineer's Guide by Dr. Farshid Pirahansiah — a 406-page practical reference covering 3D vision, GPU & CUDA programming, LLMs, optimization, and startup strategy. - [Digital Downloads & AI Prompt Packs](https://pirahansiah.com/shop/) — Technical guides, cheat sheets, AI prompt packs, and tutorials by Dr. Farshid Pirahansiah — computer vision, AI, CUDA, and software engineering. - [Privacy Policy](https://pirahansiah.com/privacy/) — Privacy policy for pirahansiah.com: what data is collected, how Google AdSense and Google Analytics are used, cookie policy, GDPR rights, and contact details. - [Share — Invite & Referral Links](https://pirahansiah.com/go/) — Share these invite and referral links with your friends — OpenCode, Trade Republic, Scalable Capital, Wise, eToro and Kraken. ## Documentation & Technical Notes - [3D Vision & Real-Time Multi-Camera Systems](https://pirahansiah.com/notes/docs/cv/3d/) — Real-time 3D point cloud generation, depth sensing, and multi-camera synchronization for computer vision applications. - [Accelerate Python with Numba's @jit(nopython=True)](https://pirahansiah.com/notes/docs/cuda/numba/) — Tutorial on using Numba's @jit decorator to compile Python functions into optimized machine code for faster numerical computing. - [Advanced LLM Concepts](https://pirahansiah.com/notes/docs/llm/llm-concepts/) — Comprehensive mind map covering advanced LLM concepts including RAG, embeddings, multimodal models, and production deployment. - [AI Model Cost Calculator](https://pirahansiah.com/notes/docs/projects/ai-cost-calculator/) — Estimate text and image processing costs for GPT-4, Claude, and Gemini — token-aware cost planning for computer vision and multimodal AI. - [Blog: AI, LLMs, and Computer Vision](https://pirahansiah.com/notes/docs/llm/blog/) — Blog posts on RAG vs CAG, multi-agent architectures, AI's impact on jobs, and the future of software development. - [C++ Quick Reference](https://pirahansiah.com/notes/docs/cpp/) — Quick reference for C++ memory management, data structures, debugging tools, and shell basics. - [Crypto Payments — Support](https://pirahansiah.com/crypto/) — Support Dr. Farshid Pirahansiah's open-source computer vision and edge AI work with cryptocurrency. Bitcoin, Ethereum, Solana, Base and BNB Smart Chain wallet addresses. - [CUDA Development Environment in VS Code on Windows](https://pirahansiah.com/notes/docs/cuda/cuda-vscode/) — Step-by-step guide to configure VS Code for CUDA C++ development on Windows with nvcc, IntelliSense, and debugging. - [Curated Links & Resources](https://pirahansiah.com/notes/docs/links/) — Hand-picked tools, tutorials, and references for CV, AI, and software engineering. - [CV Coaching & Teaching Roadmap](https://pirahansiah.com/notes/docs/coaching/) — Personalized computer vision coaching with a structured curriculum from fundamentals to edge AI. - [Developer Tools & Setup Guide](https://pirahansiah.com/notes/docs/dev-tools/) — Curated developer tools, shell essentials, Docker tips, and GitHub tricks. - [Dr. Farshid Pirahansiah — CV & AI](https://pirahansiah.com/notes/docs/cv-overview/) — Overview of Dr. Farshid Pirahansiah's computer vision and AI expertise: 3D vision, multi-camera systems, optical flow, model optimization, and edge AI deployment. - [How PyCUDA Reads and Runs C Kernels](https://pirahansiah.com/notes/docs/cuda/pycuda/) — Explanation of how PyCUDA compiles and executes CUDA kernels written in C from Python, with step-by-step examples. - [Local Video Avatar Generator with Ollama](https://pirahansiah.com/notes/docs/llm/avatar/) — Build a fully local video avatar generator using Ollama LLM, Piper TTS, and Wav2Lip without cloud services. - [MetaMask — Connect & Receive](https://pirahansiah.com/metamask/) — Connect MetaMask to auto-fill your EVM address, send crypto, or reveal a receive address. Private test page. - [Mind Map: Orchestrating AI Agents](https://pirahansiah.com/notes/docs/llm/agents/) — Mind map and guide to orchestrating multiple AI agents for complex task completion using LLMs. - [MLX, CoreML, and Metal for Apple Silicon](https://pirahansiah.com/notes/docs/cuda/apple-ml/) — Guide to Numba JIT, PyCUDA-to-Metal transition, CoreML conversion, and MLX framework on Apple Silicon. - [Optical Flow: Challenges and Solutions](https://pirahansiah.com/notes/docs/cv/optical-flow/) — Comprehensive guide to optical flow challenges including illumination changes, occlusions, fast motion, and their solutions. - [Portfolio & Publications](https://pirahansiah.com/notes/docs/resources/) — Complete portfolio of patents, publications, books, and project highlights. - [Product — Embedded CV & Edge AI](https://pirahansiah.com/notes/docs/product/) — Embedded computer vision and edge AI systems portfolio. - [Real-Time Multi-Camera Vision Systems](https://pirahansiah.com/notes/docs/cv/multi-camera/) — Deep technical guide to building real-time multi-camera vision systems with heterogeneous processing and scaling to 100+ cameras. - [Research — Publications & Patents](https://pirahansiah.com/notes/docs/research/) — Complete list of patents, journal articles, conference papers, books, and keynotes. - [Shell & Vim Quick Reference](https://pirahansiah.com/notes/docs/shell-vim/) — Quick reference for shell commands, vim basics, and essential CLI tools. - [Solana Arcade — Snake & Tetris](https://pirahansiah.com/solana-games/) — Play Snake and Tetris in your browser, connect a Phantom wallet, and sign your high score as a cryptographic proof on Solana. No install, no account, runs locally. - [Solutions — AI Courses & Workshops](https://pirahansiah.com/notes/docs/solutions/) — AI 2026 courses, workshops, and business solutions for production-ready products. - [Startup Guide: Edge AI Business](https://pirahansiah.com/notes/docs/startup/) — Edge AI business plan, fundraising in Germany, pitch decks, and growth strategies. - [Top LinkedIn Posts 2024](https://pirahansiah.com/notes/docs/linkedin/) — Highlights from 2024 LinkedIn posts covering camera calibration, C++, NVIDIA optimization, and robotics. ## Publications (Papers, Journals, Books, Patents, Keynotes) - [10 Years of CV Debugging Lessons](https://pirahansiah.com/notes/pubs/10-years/) — Lessons learned from a decade of debugging computer vision systems in production. - [2D vs 3D Mapping for Moving Objects](https://pirahansiah.com/notes/pubs/papers/2d-3d-mapping/) — Comparison of 2D and 3D mapping approaches for environment movement detection. - [3D SLAM and Humanoid Robot Linkages](https://pirahansiah.com/notes/pubs/journals/slam-humanoid/) — Survey of 3D SLAM techniques for localization, mapping, and humanoid robot applications. - [Adaptive Thresholding Based on PSNR](https://pirahansiah.com/notes/pubs/journals/adaptive-thresholding/) — PSNR-based adaptive thresholding for image segmentation in OCR and license plate recognition. - [Ant Colony Optimization for Image Processing](https://pirahansiah.com/notes/pubs/journals/ant-colony/) — ACO-based optimization for image thresholding and edge detection in OCR systems. - [Augmented Optical Flow for Video Stabilization](https://pirahansiah.com/notes/pubs/books/computational-intelligence/) — Book chapter on Type-2 Fuzzy Gaussian Pyramid optical flow for video stabilization. - [Camera Calibration & Video Stabilization](https://pirahansiah.com/notes/pubs/books/camera-calibration/) — Springer book chapter on fuzzy camera calibration and video stabilization for robot localization. - [Camera Calibration for Multi-Modal Vision](https://pirahansiah.com/notes/pubs/papers/multimodal-calibration/) — Automatic calibration framework for multi-modal robot vision using IQA metrics. - [Character & Object Recognition via Features](https://pirahansiah.com/notes/pubs/journals/character-recognition/) — Global feature extraction methods for character and object recognition in computer vision. - [Character Recognition via Global Features](https://pirahansiah.com/notes/pubs/papers/global-feature-recognition/) — Hybrid GLCM and EDMS method for character recognition in OCR applications. - [Classification with Geometrical Features](https://pirahansiah.com/notes/pubs/papers/geometrical-topological/) — Evaluation of classification techniques using enhanced geometrical and topological features. - [Computer Vision Meets LLM](https://pirahansiah.com/notes/pubs/books/ai/cv-meets-llm/) — Book exploring multimodal AI combining computer vision with large language models. - [CV — Dr. Farshid Pirahansiah](https://pirahansiah.com/notes/pubs/cv/) — Curriculum vitae covering 12+ years of computer vision R&D, 21 publications, and 3 patents. - [Entropy-Based Multi-Threshold LPR](https://pirahansiah.com/notes/pubs/papers/license-plate/) — Multi-threshold license plate recognition using entropy-based image segmentation. - [Face Image Augmentation WO2021060971A1](https://pirahansiah.com/notes/pubs/patents/face-augmentation/) — GAN-based method for augmenting face images from surveillance with fuzzy logic quality filtering. - [Facial Analysis Advertisement WO2020141969A2](https://pirahansiah.com/notes/pubs/patents/facial-analysis/) — System for targeted digital advertising using real-time facial analysis and demographic detection. - [GSFT-PSNR: Fuzzy Threshold Method](https://pirahansiah.com/notes/pubs/journals/fuzzy-thresholding/) — Fuzzy logic approach to global single thresholding using PSNR for image segmentation. - [Journal Publications](https://pirahansiah.com/) — Peer-reviewed journal articles on image processing, pattern recognition, and robotics. - [LLMs Meet Computer Vision](https://pirahansiah.com/notes/pubs/keynotes/llm-cv/) — Keynote on token economics, multimodal RAG, and practical CV+LLM applications. - [Moving Vehicle Detection WO2021107761A1](https://pirahansiah.com/notes/pubs/patents/vehicle-detection/) — Image processing method for detecting moving vehicles using CLAHE, Sobel, and geometric filtering. - [Multi-Threshold for License Plate Recognition](https://pirahansiah.com/notes/pubs/papers/multi-threshold-plate/) — Adaptive multi-threshold approach using MLP for license plate recognition systems. - [OpenCV 5 — Chapter 0: Introduction](https://pirahansiah.com/notes/pubs/books/ai/new-developer-era/) — Introduction to the new developer era, AI agents, and multi-agent systems. - [OpenCV 5 — Chapter 1: Image Basics](https://pirahansiah.com/notes/pubs/books/ai/opencv5-ch1/) — Glossary of AI/ML terms, references, and resources for computer vision practitioners. - [OpenCV 5 — Chapter 2: Feature Detection](https://pirahansiah.com/notes/pubs/books/ai/opencv5-ch2/) — Comprehensive guide to AI/ML concepts, tools, best practices, and ethical considerations. - [OpenCV 5 — Chapter 3: Advanced Topics](https://pirahansiah.com/notes/pubs/books/ai/opencv5-ch3/) — Advanced computer vision techniques including filtering, morphology, and G-API integration. - [Pattern Image for Camera Calibration](https://pirahansiah.com/notes/pubs/papers/pattern-calibration/) — Analysis of how pattern image design impacts camera calibration accuracy and reliability. - [PSNR Threshold for Image Segmentation](https://pirahansiah.com/notes/pubs/journals/psnr-segmentation/) — PSNR-based thresholding method for image segmentation in automated visual inspection. - [PSNR-Based Segmentation for LPR](https://pirahansiah.com/notes/pubs/papers/adaptive-segmentation/) — Adaptive image segmentation using PSNR for license plate recognition systems. - [Publications — Conference Papers](https://pirahansiah.com/notes/pubs/papers/conference-paper/) — All peer-reviewed conference papers by Dr. Farshid Pirahansiah on image processing, camera calibration, pattern recognition, and grid computing. - [TafreshGrid: Grid Computing](https://pirahansiah.com/notes/pubs/papers/grid-computing/) — Grid computing infrastructure implementation and evaluation at Tafresh University. - [Thresholding for Handwritten Segmentation](https://pirahansiah.com/notes/pubs/papers/handwritten-thresholding/) — Comparison of PSNR and Otsu thresholding for handwritten image segmentation. ## Courses & Learning Paths - [AI Hardware Accelerators](https://pirahansiah.com/notes/courses/ai-hardware/) — Workshop covering custom accelerators, NPUs, and edge AI chips. - [Book Summaries](https://pirahansiah.com/notes/courses/book-summary/) — Book summaries and knowledge management resources. - [Cloud-Native with Kubernetes](https://pirahansiah.com/notes/courses/cloud-native/) — Docker and Kubernetes fundamentals for cloud-native infrastructure. - [Edge AI Summit 2020](https://pirahansiah.com/notes/courses/edge-ai-summit/) — Notes from Edge AI Summit covering tinyML, neuromorphic computing, and edge inference. - [Embedded IoT](https://pirahansiah.com/notes/courses/iot/) — Workshop on embedded IoT systems and edge computing applications. - [FSDL 2022 Notes](https://pirahansiah.com/notes/courses/fsdl-2022/) — Notes from Full Stack Deep Learning 2022 covering ML lifecycle, data management, and continual learning. - [Full Stack Deep Learning](https://pirahansiah.com/notes/courses/fsdl/) — Full Stack Deep Learning course notes covering ML production from data to deployment. - [IoT Scholarship: Edge AI with OpenVINO](https://pirahansiah.com/notes/courses/iot-scholarship/) — IoT and Edge AI with OpenVINO: face recognition, object detection, pose estimation, and semantic segmentation. - [Machine Learning Specialization](https://pirahansiah.com/notes/courses/ml-spec/) — Coursera ML Specialization notes covering regression, classification, clustering, and neural networks. - [Metaverse & XR](https://pirahansiah.com/notes/courses/metaverse/) — Workshop on extended reality, spatial computing, and immersive technologies. - [MLOps](https://pirahansiah.com/notes/courses/mlops/) — Coursera MLOps Specialization covering ML production, data lifecycle, modeling pipelines, and deployment. - [Modern C++ for Image Processing](https://pirahansiah.com/notes/courses/modern-cpp/) — Modern C++23 for image processing: memory management, design patterns, CUDA, and OpenCV. - [OpenVINO Deep Learning](https://pirahansiah.com/notes/courses/openvino/) — Intel OpenVINO toolkit for optimizing and deploying deep learning models. - [Parallel Programming for Computer Vision](https://pirahansiah.com/notes/courses/parallel/) — Python parallel programming techniques for computer vision applications. - [RISC-V for AI](https://pirahansiah.com/notes/courses/risc-v/) — RISC-V open-source processor architecture for AI at the edge. - [ROS: Robot Operating System](https://pirahansiah.com/notes/courses/ros/) — ETH Zurich lecture on ROS architecture, navigation, simulation, and robot models. - [TensorFlow Deployment Specialization](https://pirahansiah.com/notes/courses/tf-deploy/) — TensorFlow deployment: browser-based TF.js, device-based TF Lite, data pipelines, and optimization. - [Tesla AI](https://pirahansiah.com/notes/courses/tesla/) — Workshop on Tesla's autonomous driving technology and AI systems. ## Knowledge Base / Portfolio - [Complete Portfolio](https://pirahansiah.com/notes/pkm/use-cases/) — Publications, patents, expertise, tools, and GitHub projects across CV and AI - [Curated Links & Resources](https://pirahansiah.com/notes/pkm/links/) — Collection of AI, CV, ML, and software development tools and tutorials - [Guide to This Knowledge Base](https://pirahansiah.com/notes/pkm/guide/) — A practical guide to navigating this personal knowledge base: how notes are organized, how to search, and how to use the knowledge graph and LLM search. - [PKM Methods & Website Structure](https://pirahansiah.com/notes/pkm/TOC/) — Personal knowledge management approaches from top practitioners and site architecture - [Site Link Index](https://pirahansiah.com/notes/pkm/proof/) — Complete index of all pages, publications, and resources on pirahansiah.com ## Presentations - [Reducing Token Usage in AI-Assisted Development](https://pirahansiah.com/notes/slides/presentation/) — Presentation: practical techniques to reduce token usage and cost when using AI assistants for software development. ## Utilities - [test mindmap](https://pirahansiah.com/notes/tools/image-in-md/) — Quick mind-map test page for the pirahansiah.com markmap renderer. ## Site Tools & Interfaces - [Agent Swarm](https://pirahansiah.com/swarm/) — Agent Swarm — ask a question and watch a live swarm of research agents map and synthesize the whole pirahansiah.com knowledge base. - [All Pages — pirahansiah.com](https://pirahansiah.com/notes/wiki/) — A complete alphabetical index of every page on pirahansiah.com — computer vision, AI, LLM, CUDA and edge-deployment knowledge base. - [Games](https://pirahansiah.com/game/) — Play Snake, Flappy Bird and 2048 — classic arcade games in your browser or as a Telegram Mini App. High scores, haptics and a share button. - [Hashtag Graph](https://pirahansiah.com/graph-tags/) — Hashtag knowledge graph of pirahansiah.com — see how #ai, #llm, #cuda, #computervision and other topics cluster and connect. - [Knowledge Graph](https://pirahansiah.com/graph/) — Interactive knowledge graph of pirahansiah.com — explore how AI, computer vision, CUDA, LLM and edge-deployment notes connect. - [Knowledge Graph — Files & Architecture](https://pirahansiah.com/graph-notes/) — How the pirahansiah.com knowledge graph is built from the Obsidian vault — file architecture, link extraction and the generator pipeline. - [QR Codes — Scan to Join & Refer](https://pirahansiah.com/qr/) — Scan or tap QR codes to open Dr. Farshid Pirahansiah's referral and join links — OpenCode, Trade Republic, Scalable Capital, Wise and eToro — and share them with friends. - [Search](https://pirahansiah.com/search/) — Search the entire pirahansiah.com knowledge base — computer vision, deep learning, CUDA, LLM integration and edge-AI deployment notes. - [Share](https://pirahansiah.com/share/) — Invite friends to join — trading, investing, and AI tools. - [Sitemap & Page Summaries](https://pirahansiah.com/notes/site/menus/) — Complete navigation index with summaries of all site pages - [Sitemap — All Pages](https://pirahansiah.com/notes/sitemap/) — Full sitemap of pirahansiah.com — every computer-vision, AI, LLM, CUDA and edge-AI page listed in one place. - [Terms of Service](https://pirahansiah.com/terms/) — Terms of service for pirahansiah.com: acceptable use of the content, intellectual property notice, disclaimers, and contact information. - [View](https://pirahansiah.com/view/) — In-page viewer for PDFs, code and media assets from pirahansiah.com, with the site navigation and styling kept visible. - [WebGPU LLM](https://pirahansiah.com/webgpu-llm/) — Run a large language model entirely in your browser with WebGPU — ask questions across all pirahansiah.com notes, 100% locally, nothing sent to a server. - [Why This Site Exists](https://pirahansiah.com/notes/site/why-not/) — Why this personal knowledge base exists, what it covers, and the principles behind how it is built and maintained. ## Optional - [Full text of every page (RAG corpus)](https://pirahansiah.com/llm-full.txt) — complete cleaned Markdown of all pages for retrieval-augmented generation and full ingestion.