
Learn to track objects using OpenCV on Jetson Nano, controlling a camera with servos to keep the target centered. Implement computer vision and robotics skills for real-time object tracking applications.

Learn to control servos with the Jetson Nano using PCA9685, including setup, programming, and movement control. Gain hands-on experience in robotics and automation with this practical tutorial.

Learn to track objects using contours in OpenCV on the Jetson Nano. Explore masking, fine-tuning, and bounding rectangles for effective object detection and tracking in AI applications.

Learn to track objects in OpenCV using HSV color space, including image conversion, parameter setting with trackbars, and creating foreground/background masks for effective color-based object tracking.

Learn to create and manipulate live moving watermarks in OpenCV using threshold and masking techniques for video feeds on the Jetson Nano.

Explore thresholding and masking techniques in OpenCV to manipulate image foregrounds and backgrounds independently, enhancing your AI skills on the Jetson Nano platform.

Learn to create Region of Interest in OpenCV using mouse events and clicks, enhancing image processing capabilities for AI applications on Jetson Nano.

Learn to work with Region of Interest (ROI) in OpenCV on Jetson Nano, including setting up rectangles, creating and colorizing ROIs, and animating cuts for enhanced image processing capabilities.

Learn to work with Region of Interest (ROI) in OpenCV for AI applications on Jetson Nano, including live video processing and practical examples.

Learn to read and write video files using OpenCV on the Jetson Nano, enabling efficient video processing and manipulation for AI applications.

Learn to resize and organize image windows in OpenCV for efficient AI image processing on the Jetson Nano, enhancing your ability to analyze intermediate stages of processing.

Learn to launch and view Raspberry Pi camera and webcam streams on Jetson Nano using OpenCV. Covers setup, camera settings, and basic image processing techniques for AI applications.

Learn to use ROS and OpenCV for ball detection and tracking, enabling a robot to follow a tennis ball in both simulated and real-world environments.

Explore AI robotics basics, face tracking, QR code recognition, and robot security vulnerabilities through live demonstrations and practical examples.

Learn image processing in Python using matplotlib and OpenCV. Covers reading, manipulating, and saving images, with practical examples for computer vision and data science applications.

Learn to create a deadlift bot using MediaPipe and OpenCV in this hands-on live stream, exploring practical applications of computer vision and machine learning for fitness tracking.

Explore real-time image processing using AI/ML techniques with Jupiter notebooks, enhancing your skills in cutting-edge technology applications.

Explore the Illuminati AI model for image generation, participate in an art challenge, and learn advanced techniques for enhancing AI-generated artwork.

Build a Python web app to extract tables from PDFs using Camelot and Streamlit. Learn file uploading, data conversion, and table display techniques.

Learn to create a web app for selfie segmentation using Mediapipe, Gradio, and Python. Develop skills in background removal, machine learning integration, and app development with hands-on coding.

Learn to build an AI typing tutor using OpenCV and Python, integrating computer vision techniques with Unity for an interactive and engaging learning experience.