#embedded AI

Discover how to deploy state-of-the-art AI algorithms on economical hardware using the open-source platform from Seeed Studio. ModelAssistant helps developers train and visualize AI models efficiently on microcontrollers and SBCs while optimizing performance and energy consumption. Address practical applications like anomaly detection and computer vision with support for formats such as TensorFlow Lite and ONNX. Stay informed about updates including YOLO-World and MobileNetV4 for embedded devices. Easily integrate AI with SSCMA using pre-trained models and intuitive tools.