
Explore computer vision in Processing, covering color tracking, motion detection, and blob detection. Learn to create a fireworks generator in p5.js. Hands-on coding and live demonstrations included.

Learn computer vision techniques with Python and OpenCV, from face detection to emotion recognition, creating filters, and building interactive projects like virtual mouse and games.

Learn practical OpenCV projects in Python: face detection, motion tracking, image filters, computer vision games, and more. Hands-on experience with real-world applications.

Learn to install and configure Viseron, an open-source video surveillance solution with motion and object detection capabilities, for self-hosted security systems.

Build a sophisticated motion-sensitive surveillance system using Raspberry Pi and motionEyeOS. Learn camera setup, motion detection, remote access, and advanced features for a customizable home security solution.

Explore practical considerations for implementing computer vision in low-power IoT devices, covering hardware accelerators, algorithms, optics, and real-world challenges.

Unlock IoT potential with Edge Impulse machine learning and Nordic's low-power wireless solutions. Learn to create motion detection, sound recognition, and image classification on edge devices using nRF52840 and nRF5340 kits.

Innovative approach to bypass face authentication using 3D models created from social media photos, exploiting virtual reality to simulate liveness and fool security systems.

Transform a Raspberry Pi Zero webcam into a smart security camera using open-source software and cloud-based image analysis. Learn to implement motion detection, threat detection, and alert notifications.

Explore computer vision applications using GoCV, combining Go and OpenCV. Learn to build advanced IoT solutions with face tracking, motion detection, and drone control using Tensorflow.

Discover 8 essential image processing algorithms applicable beyond images. Learn thresholding, motion detection, filtering, convolution, edge detection, and morphological operations.

Learn how to integrate PIR motion sensors with Arduino to detect warm moving objects, perfect for creating reliable alarm systems and motion-activated projects.