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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 measure temperature and humidity using the DHT11 sensor with Arduino. Covers library installation, wiring, code setup, and troubleshooting for accurate environmental data collection.
Learn to build a simple calculator with LCD display using Arduino, covering input handling, arithmetic operations, and formatted output.
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 build a self-leveling platform using Arduino, BNO055 sensor, and servos. Hands-on tutorial covers circuit assembly, mechanical construction, and servo control for tilt stabilization.
Learn to work with Region of Interest (ROI) in OpenCV for AI applications on Jetson Nano, including live video processing and practical examples.
Visualize 3D rotations using quaternions in Vpython. Learn to simulate rigid body movements, integrate Arduino with BNO055 IMU sensor, and convert quaternions to Euler angles for accurate representation.
Review of basic trigonometry concepts for rotating systems in Vpython, focusing on practical applications with Arduino and IMU sensors.
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 animate objects in Vpython with hands-on examples. Explore creating and manipulating visual elements like boxes, cylinders, and arrows while mastering key concepts such as loops and positioning.
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.
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