
Learn to develop AI and computer vision applications using NVIDIA's deep learning tools. Explore neural network primitives, real-time solutions, and training workflows for intelligent robots and drones on the Jetson Embedded Platform.

Learn to train and implement custom object detection on Jetson Nano, from image capture and labeling to using a Single Shot Detection Network for real-time robot recognition in video streams.

Learn to print, assemble, and program a SMARS Quad robot using Raspberry Pi Zero and Python. Explore advanced features like computer vision, voice synthesis, and voice recognition in this hands-on series.

Comprehensive guide for setting up Visual Inertial Odometry on a Pixhawk-based drone using Jetson Nano and Intel T265 camera, covering hardware assembly, software installation, and flight testing.

Explore cutting-edge technology enabling AI at the IoT edge, allowing embedded devices to run intelligent tasks on battery power with improved efficiency and reduced costs.

Benchmarking and optimizing neural network execution on DSPs for hearing aids, introducing a custom NN processing engine to improve performance and energy efficiency.

Explore SayCan, a groundbreaking approach combining language models with robotic skills for complex task execution. Learn about its development, challenges, and future implications in AI and robotics.

Explanation of SayCan, a system combining language models with robotic skills for real-world task execution. Covers methodology, implementation, and experimental results for complex instruction following.

Comprehensive guide to advanced FPGA design techniques, covering processors, microcontrollers, PCIE interfaces, and practical examples with ZYNQ for image processing and Linux implementation.

Learn to integrate voice and speech capabilities on the Jetson Nano, combining image recognition with text-to-speech for real-time audible object identification in live video streams.

Learn to generate speech on Jetson Nano using espeak and gTTS libraries. Explore pros and cons of each technique and implement text-to-speech functionality in your AI projects.

Learn to train and automate face recognition using dlib and pickle, enabling efficient processing of large datasets for practical applications on Jetson Xavier NX.

Learn to implement face recognition and identification on NVIDIA Jetson Xavier NX using Dlib and face_recognition libraries. Includes step-by-step training and deployment of a face recognition model.

Learn to detect, identify, and label objects using NVIDIA Jetson Inference libraries on the Jetson Nano. Practical demonstration with real-time object recognition and labeling in images and video.

Learn object detection and recognition using OpenCV and NVIDIA Jetson Detection Utilities on the Jetson Nano. Explore machine learning and deep neural networks for identifying objects in real-time.

Improve NVIDIA Jetson Inference Library for Raspberry Pi Camera compatibility. Quick fix enhances future AI development on Jetson Nano using RPi camera.

Learn to install NVIDIA object detection and inference tools on Jetson Nano, enabling sophisticated pretrained networks for object identification and detection in AI applications.

Learn to recognize and identify faces in live video using OpenCV and Face Recognize library on Jetson Nano. Train models with familiar faces and implement real-time facial recognition.

Learn to implement face recognition and identification on Jetson Nano using OpenCV and face_recognition library. Covers training for new faces, identifying unknowns, and practical applications.

Learn to install and use facial recognition library for OpenCV on Jetson Nano, enabling face detection and identification in frames. Enhance your AI project with advanced computer vision capabilities.

Learn to detect faces and eyes in video using Haar Cascades with OpenCV on the Jetson Nano. Practical implementation of computer vision techniques for real-time facial feature recognition.