Mindboard
Mindboard is a next-generation development board designed for Artificial Intelligence of Things (AIoT) applications. It features a microcontroller capable of running AI applications at the edge, along with a microphone, a 6-axis IMU (Inertial Measurement Unit), a WiFi-Bluetooth module, and temperature and humidity sensors.
In modern IoT (Internet of Things) applications, performing AI operations directly on edge devices is becoming increasingly important. Factors such as real-time data processing requirements, reduced latency, and energy efficiency make it necessary to run AI operations not only in the cloud but also on edge devices. Therefore, there is a need for a development board that can collect data from multiple sensors—such as sound, motion, temperature, and humidity—analyze it directly on the edge device, and transmit the data and/or signal analyses to other units via WiFi and Bluetooth.

Project Innovation
- Provides an integrated development board with AI processing capabilities both at the edge and in the cloud.
- Offers extended data collection and analysis possibilities through a combination of multiple sensors.
- Executes real-time data analysis and decision-making using power-efficient AI algorithms with low energy consumption.
- Supports cloud-based large-scale data analysis via its WiFi-Bluetooth module.
- Facilitates developers with open-source software support.
- Incorporates innovative technologies such as the ISPU (Intelligent Sensor Processing Unit).
Project Benefits
- An optimized development platform for AI-powered IoT applications.
- A system capable of collecting and analyzing data from smart sensors, performing AI operations both at the edge and in the cloud.
- Applicable across diverse areas, including industrial automation, smart home systems, and healthcare technologies.
- Enables rapid prototyping for developers working on AI-enabled IoT projects.
- Contributes to smarter systems by enabling more efficient and real-time processing of sensor data.
- Introduces innovative technologies like ISPU to users’ knowledge ecosystem.