Pirahansiah.com Links
Profile & Resources
- Portfolio — Projects and solutions overview
- Resources — Learning materials and references
- Social — Social media profiles
- TOC — Table of contents
- CV — Curriculum vitae
- 10 Years — Decade of research highlights
Publications — Patents
- Moving Vehicle Detection — Vehicle detection patent WO2021/107761
- Ad Facial Analysis — Ad content via face analysis WO2020/141969
- Face Image Augmentation — Face augmentation patent WO2021/060971
Publications — Papers
- 2D vs 3D Map — 2D vs 3D mapping for moving objects
- Conference Paper — Core research publication
- Multi-Modal Robot Vision — Camera calibration for robots
- License Plate Entropy — Entropy-based plate recognition
- Handwritten Segmentation — Threshold methods for handwriting
- Geometrical Feature Analysis — Classification via geometry features
- Multi-threshold Plate Recognition — Multi-threshold plate system
- Global Feature Recognition — Character recognition using globals
- Grid Computing Tafresh — Grid computing case study
- PSNR Adaptive Segmentation — PSNR-based plate segmentation
- Pattern Significance Calibration — Pattern importance for calibration
Publications — Journals
- PSNR Fuzzy Threshold — Global fuzzy thresholding via PSNR
- Ant Colony Optimization — ACO for image processing
- Global Feature Recognition — Object recognition via globals
- Adaptive Thresholding PSNR — Adaptive threshold using PSNR
- 3D SLAM Robotics — SLAM trends for humanoid robots
- Threshold Image Segmentation — PSNR threshold segmentation
Publications — Books & Keynotes
- LLMs Meet Computer Vision — Keynote on LLM+CV intersection
- Camera Calibration Book Chapter — Springer chapter on calibration
- Optical Flow Video Stabilization — Optical flow for stabilization
- OpenCV 5 Ebook Ch0 — Intro to OpenCV 5
- OpenCV 5 Ebook Ch1 — Image basics
- OpenCV 5 Ebook Ch2 — Feature detection
- OpenCV 5 Ebook Ch3 — Advanced topics
- CV Meets LLM — Computer vision with language models
Technical Content
- CUDA + OpenCV + VSCode Windows — CUDA dev environment setup
- Optical Flow — Motion estimation techniques
- Missing Semester — CS fundamentals often skipped
- Mind Map Orchestrating Agents — Multi-agent orchestration
- Python — Python tips and tricks
- Real-Time Multi Camera — Synchronized multi-camera systems
- CUDA Pycuda Kernels — GPU kernel programming
- CUDA Numba JIT — JIT compilation for GPU
- 3D — 3D vision and reconstruction
- C++ Memory — Memory management in C++
- C++ — Modern C++ techniques
- MLX CoreML Metal — Apple ML framework guide
- Optimization — Model and code optimization
- Mind Map Advanced LLM — Advanced LLM concepts
- Prompts — Prompt engineering techniques
- SEO — Search engine optimization
Guides & Setup
- CUDA OpenCV VSCode Windows — Full CUDA+OpenCV setup guide
- AI CV Python PPT — Presentation slides
Career & Business
- Coaching — 1-on-1 career coaching
- Interview — Interview prep and tips
- StartUp — AI startup guidance
- Avatar — Personal branding
- Top LinkedIn Posts 2024 — Most popular posts
- Links — Curated link collection
Projects & Hardware
- Solutions — Industry solutions
- Calendar Data — Event data
- Camera Calibration — Calibration tools and demos
- Hardware — Edge AI hardware platforms
Tiziran.com Links
Courses
- Machine Learning Specialization — ML fundamentals with case studies
- ML Foundations — Practical ML through real projects
- Full Stack Deep Learning — End-to-end DL deployment
- FSDL — Advanced deep learning practices
- MLOps — ML pipeline operations and monitoring
- ROS — Robot Operating System for automation
- Parallel Programming — GPU and multi-threading techniques
- Modern C++ — C++17/20 for performance-critical systems
- Cloud Native — Containerized AI deployment
- IoT Scholarship — IoT fundamentals for edge AI
- TensorFlow Deployment — TF serving and edge deployment
Workshops & Events
- RISC-V — Open-source processor architecture
- Edge AI Summit — On-device inference optimization
- Embedded IoT — AI on microcontrollers and edge
- Tesla AI — Autonomous driving and vision
- AI Hardware — Custom accelerators and NPUs
- OpenVINO — Intel inference optimization toolkit
- Metaverse — XR and spatial computing
- Workshops — Hands-on training sessions
- IFA 2022 — Consumer electronics showcase
Knowledge Management
- Book Summary — Condensed insights from key texts
- Commonplace Book — Personal knowledge collection
- Knowledge Management — Systems for organizing learning
- PKM — Personal knowledge management methods
Topics & Projects
- AI Hub — Curated AI resources and tools
- ChatGPT — LLM applications and prompting
- How to Start — Getting started in CV and AI
- YouTube — Video learning resources
- YouTube II — More video resources
- Software Tools — Essential dev tools
- Image Processing Roadmap — Learning path for IP
- Source Code — Code examples and repos
- OpenCV — Computer vision library usage
- OpenCV C++ — C++ vision implementations
- OpenCV Python — Python vision scripts
- MacOS OpenCV — macOS build guide
- OpenCV Rust — Rust bindings for vision
- Compile Guide — Build instructions
- IoT Code — Embedded vision code
- Share — Community contributions
- Video Tracking — Multi-object tracking
- Camera Calibration — Stereo and mono calibration
- DRL — Deep reinforcement learning
- Hardware — AI accelerator benchmarks
- Quantum Computing — Quantum ML research
- AltCoin — Crypto and blockchain AI
- Resume CV — AI engineer career templates
- Apple — CoreML and Vision framework
- Startup — AI venture building
Open Source Projects
- OpenCV NuGet — Static OpenCV 5 packages for VS2019/2022
- cvTest — CV unit/integration/system testing framework
- opencv-cpp — OpenCV C++ example projects
- Mind Maps Source — All diagram sources
Links & Community
- LinkedIn Group — 12K+ CV/DL community members
- Facebook Group — 14K+ AI/IoT/Robotics members
- All Links — Complete resource collection
- Amazon — Recommended tools and books
- Contact — Reach out for collaboration
- FAQ — Common questions answered
- Prompt Engineering — LLM prompt techniques