✅ What is NVIDIA Jetson?

NVIDIA Jetson is a series of miniature computing devices that include powerful NVIDIA GPUs. They are designed to run AI and Machine Learning models directly on the device without the need for a constant cloud connection.

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 Main Uses of Jetson in AI

   Computer Vision

• Face recognition

• Object tracking

• Object detection

• Image and video classification and analysis

    Robotics

• Autonomous navigation

• Obstacle avoidance

• Audio-visual interaction with the environment

    Smart Surveillance

• Real-time video analysis

• Motion or person detection

• Automatic alerts based on event recognition

    Smart IoT Systems

• Local data processing from multiple sensors

• Reducing dependence on cloud connection

  Popular Jetson Boards

• NVIDIA JetPack SDK: Includes Ubuntu, CUDA, cuDNN, TensorRT, OpenCV

• DeepStream SDK: Real-time video analytics

• TensorFlow, PyTorch: Fully supported

• ROS (Robot Operating System): For robotics

• Docker Containers: Run models in isolated environments

   Example AI Projects with Jetson

• Face mask and temperature detection in public areas

• Line-following robot with obstacle avoidance using Jetson Nano

• Smart security camera distinguishing people and vehicles

• Farm or factory monitoring with drones

    What You Need to Start

• Jetson board (e.g., Nano or Xavier NX)

• microSD card (or SSD depending on model)

• Camera (e.g., Raspberry Pi Cam or USB Cam)

• Monitor and keyboard for setup

• Basic knowledge of Python and AI

  
  

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