The proposed solution is a cost-effective and user-friendly Edge Artificial Intelligence of Things (AIoT) platform designed to democratize AI deployment at the edge. It consists of two key components: the AIoT Edge Module and the AIoT Edge Board. These components are thoughtfully engineered to enable artificial intelligence functionalities on edge devices without requiring users to possess deep expertise in AI or machine learning. The platform features a modular hardware architecture integrated with pre-configured AI processing units, making it highly adaptable and scalable for various applications. Complementing the hardware is a robust software framework that streamlines the entire AI workflow, from model deployment and optimization to real-time inference. The software includes an intuitive graphical user interface (GUI), automatic model selection, and comprehensive edge inference management tools: empowering developers, even with limited AI experience, to build and deploy intelligent solutions efficiently. Additionally, the system supports plug-and-play sensor integration and a wide range of wireless communication protocols, making it suitable for diverse Internet of Things (IoT) environments. Built-in optimizations such as low-power edge inference and AI model compression further enhance performance while remaining within hardware limitations. This platform offers a practical and scalable entry point for AIoT innovation across industries like smart cities, agriculture, manufacturing, and healthcare.
The platform removes the complexity of AI adoption by offering pre-configured AI modules, automated model selection, and an intuitive GUI. This empowers developers, system integrators, and businesses, even those without deep AI expertise, to rapidly build and deploy intelligent edge solutions.
With a modular hardware architecture and flexible software framework, the system easily adapts to various IoT applications. From small-scale prototypes to large industrial rollouts, the platform scales seamlessly while maintaining cost-efficiency and performance.
Designed with plug-and-play sensor integration, multi-protocol wireless connectivity, and low-power AI inference, the platform is tailored for diverse and resource-constrained IoT settings. Industries such as smart cities, agriculture, healthcare, and manufacturing can adopt AIoT solutions that are both practical and energy-efficient.