AI modules are compact, integrated boards or devices equipped with processors, memory, and interfaces optimized for running artificial intelligence tasks locally (on the edge). These tasks often include computer vision, speech recognition, machine learning inference, and sensor data analysis, without needing cloud connectivity.
AI modules are commonly based on powerful chips like the NVIDIA Jetson, Google Coral, Kendryte K210, or ESP32 with AI co-processors. Many of them support popular frameworks such as TensorFlow Lite, PyTorch, or OpenVINO, making them ideal for building smart robots, security cameras, voice assistants, autonomous vehicles, or edge computing projects.
These modules often come with built-in Wi-Fi, Bluetooth, or Ethernet, GPIO pins for connecting sensors and actuators, and can operate on low power, making them perfect for integration into DIY projects, prototyping, or production environments where real-time AI is critical.
Even though they're compact, these boards offer powerful AI inference performance, allowing you to run complex neural networks locally. From facial recognition to object tracking, AI modules make advanced features easy to add to your electronics projects.