The Raspberry Pi is increasingly popular for AI applications, particularly for **edge computing**, which involves processing data locally on the device rather than sending it to a cloud server. Its compact size and low power consumption make it an ideal "microsystem" for a variety of AI projects.
There are two main approaches to using a Raspberry Pi for AI: 1. CPU-Based AI 2. Raspberry Pi AI Kit
These features make the Raspberry Pi a powerful and accessible platform for developers, hobbyists, and students to experiment with and deploy AI projects directly at the source of data.
# Summary A **Raspberry Pi** is an affordable, versatile, and accessible microcomputer. When used as an **AI-powered microsystem**, it acts as the central brain that: * **Senses** the world with cameras, microphones, and sensors. * **Thinks** by running pre-trained AI models (inference) on that sensor data. * **Acts** by controlling lights, motors, speakers, or sending alerts, creating intelligent, interactive, and autonomous devices.