Web Ready Augmented Reality in 47 Lines of Code
Explore creating live webcam masks with JavaScript in this talk on web-ready augmented reality, covering AR applications, frameworks, and practical demonstrations.
Getting the Most from the New Multi-Camera API - Android Dev Summit
Explore Android P's multi-camera API for advanced features like bokeh and optical zoom. Live demos and code walkthroughs on two devices showcase practical implementation techniques.
Getting the Best of On-Device Machine Learning with ML Kit
Explore ML Kit's capabilities for on-device machine learning, including text recognition, image labeling, and custom models. Learn tips and best practices for optimal implementation.
AI-Enhanced Medical Mask Compliance in Healthcare - Building a Safety Net with Computer Vision
Discover how computer vision and deep neural networks enhance medical mask compliance monitoring through object detection and facial landmark analysis for improved healthcare safety.
Python Workshop with Face Detection, Mesh & Orientations with Hugging Face Deployment
Build a Python web app for face analysis using Gradio UI, including face detection, mesh, and orientation. Learn to process webcam input and deploy to Hugging Face Space.
Face Detection Project Using Python - OpenCV Project
Learn to build a face detection system using Python and OpenCV. Gain hands-on experience in computer vision, from setup to implementation, with a practical demonstration of the final output.
Image Processing Projects - Smile Detection and Face Detection
Learn to create image processing projects in Python, including smile and face detection, grayscale conversion, and image transformation techniques. Gain practical skills for real-world applications.
Learn Computer Vision with CVZone in 2 Hours
Comprehensive 2-hour tutorial on computer vision using CVZone, covering various modules and techniques for image processing, object detection, and facial analysis.
ConvNets in Practice
Explore practical applications of ConvNets in object detection, face recognition, and semantic segmentation. Learn about network architectures, performance comparisons, and real-world implementations in robotics and image processing.
Face Detection with Python - Live Coding
Explore Python face detection models for age, race, emotion, and keypoints. Compare results and implement various techniques in this hands-on coding session.
Detecting Masked Faces in the Pandemic World
Explore deep learning techniques for detecting masked faces during the pandemic with Vladimir Iglovikov, a Sr. Computer Vision Engineer at Lyft and Kaggle Grandmaster.
Lightweight Face Detection for Ultra-Low Power AI Processors - tinyML Asia 2021
Lightweight face detection method for ultra-low power AI processors, featuring real-time application and accuracy in various scenarios. Explores implementation on Himax WE-I Plus platform for always-on sensing products.
Recent Progress on TinyML Technologies and Always-On Machine Opportunities
Explore recent advancements in tinyML technologies, their implementation, and potential applications across various industries, with a focus on always-on machine learning for voice, vision, and sensing.
Face Detection with OpenCV
Learn face detection using OpenCV and Python on Raspberry Pi Zero. Explore object detection, AI, neural networks, and computer vision fundamentals. Practical implementation and insights provided.
TinyML Journey - From Face Detection Demo to Real-Life Commercial Deployment
Explore the journey of TinyML from face detection demos to large-scale commercial deployment in notebooks, addressing real-world challenges and bridging the gap between technology and business.
A Battery-Free Long-Range Wireless Smart Camera for Face Detection
Explore battery-free wireless smart cameras for face detection using edge AI and low-power microcontrollers. Learn about energy harvesting, tiny ML algorithms, and novel hardware architectures for IoT devices.
TinyML Journey: From Face Detection Demo to Real-Life Commercial Deployment
Exploring the journey from tinyML face detection demos to large-scale commercial deployment, addressing real-world challenges and bridging the gap between prototypes and practical applications.
How to Build Machine Learning Pipelines with Docker
Explore practical applications of Docker containers for rapid ML project prototyping, including face detection, sentiment analysis, and smart bot creation.
Synthetic Data for Identity Systems - Face Synthesis Detection
Explore face synthesis detection techniques for identity systems, focusing on synthetic data generation and its applications in enhancing security and privacy.
Face Anonymization with Python - Blurring and Pixelating Techniques
Anonymize faces in images using Python: detect, blur, and pixelate for privacy. Learn CPU and GPU techniques, compare results, and ensure data protection in your projects.
DeepLocker - Concealing Targeted Attacks with AI Locksmithing
DeepLocker: AI-powered targeted attacks using deep neural networks for evasive malware. Explores mechanisms, implications, and defenses against AI-weaponized cybercrime.