Learn to implement real-time object detection on NVIDIA Jetson Nano using Python in this 26-minute tutorial. Set up the Jetson Nano, explore pre-trained DNN models like SSD-Mobilenet and SSD-Inception, and create a custom object detection program using a live camera feed. Discover how to detect various objects from the 90-class MS COCO dataset, install necessary components, and utilize the Jetson API for enhanced functionality. Gain hands-on experience with coding, API documentation, and working with example cameras to create an efficient object detection system.