DFRobot, a world leader in open source hardware, recently attended the Robot Hokoten @ Akihabara event in Tokyo and was featured at the DigiKey booth. The company announced two AI-driven projects based on open-source hardware, the “Electronic Nose” gas recognition system and the AI-powered cell recognition education system, demonstrating how AI and open hardware can be effectively applied to STEAM education and manufacturer scenarios.
Electronic nose: Integrating TinyML and on-device AI
The “Electronic Nose” project combines edge AI with embedded hardware. It uses four MEMS gas sensors connected to an ESP32 running a TinyML model for real-time odor analysis.
During the demonstration, the sensor probe was placed on top of a glass of beer. Within 20-30 seconds, the system completed odor sampling and analysis. The results were then sent to LattePanda Sigma, a compact x86 computing module, which used a locally deployed language model to generate descriptive content and tasting notes. The entire process ran on the device without relying on network connectivity.
Xia Qing, Senior Engineer at DFRobot, commented, “This demonstration shows how manufacturers can combine TinyML-based sensing with local AI models to transform sensor data into intuitive insights. Potential applications include coffee flavor analysis, fermentation monitoring, and food freshness detection.”
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AI Cell Recognition: Bringing AI to the STEAM Classroom
Another notable project focuses on educational applications. DFRobot has announced an AI-powered cell recognition education system designed to integrate artificial intelligence into middle school biology education. The system is built using the HUSKYLENS 2 AI vision sensor and UNIHIKER K10 development board.
Powered by the K230 processor with up to 6 TOPS of AI computing performance, HUSKYLENS 2 can efficiently run both pre-trained and user-trained models with low latency. In the demonstration, the system performed real-time identification and classification of cells under a microscope, bringing abstract AI and machine learning concepts to life through hands-on interaction.
This project showcases a complete AI workflow from data collection to model training to edge inference, highlighting its practical applicability in educational settings.
Partner with DigiKey to expand open source hardware ecosystem
DFRobot and DigiKey jointly exhibited at Robot Hokoten to promote open source hardware and AI education. The two companies will continue to collaborate on technology content, global marketing and education solutions to lower barriers to AI and open hardware adoption and accelerate the transition from manufacturer projects to real-world STEAM classroom applications.
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