NUREMBERG — DFRobot is showcasing its latest industrial sensing, edge computing and AIoT technologies at the Embedded World 2026, highlighting solutions designed to help engineers accelerate the transition from prototype to production.
The global open-source hardware supplier is presenting the technologies at Hall 5, Stand 5-224, demonstrating how modular and production-ready hardware building blocks can simplify system integration and speed up development of real-world applications.
Chief executive officer Ricky Ye said many engineering projects are slowed by repetitive hardware integration tasks such as drivers, wiring and validation.
“By handling these complex hardware layers in advance, engineers can focus on system design and move from concept to a stable prototype faster, accelerating the path to production,” he said.
At the exhibition, DFRobot is displaying nearly 100 sensor products that form a comprehensive AIoT sensing ecosystem spanning prototyping, smart environments and industrial deployments. Among the highlights are mmWave radar sensors designed for precise human presence detection, factory-calibrated environmental and gas sensors for monitoring air and water quality, and ultrasonic sensors with IP68 protection for use in harsh industrial environments.
The company also demonstrated integration-ready industrial interfaces supporting protocols such as Modbus, I2C and UART, allowing sensors to connect directly with industrial controllers. These sensing devices can be unified through the Edge 101 industrial controller and LoRaWAN connectivity to enable scalable sensing networks across buildings, factories and smart infrastructure.
In addition, DFRobot introduced its LattePanda modular x86 computing platforms designed for embedded and edge applications. The systems include the LattePanda Mu compute module for OEM integration, the LattePanda IOTA platform combining an Intel processor with an onboard microcontroller, and the high-performance LattePanda Sigma platform featuring Core-class processing and dual Thunderbolt 4 connectivity.
Visitors to the exhibition can also experience live demonstrations of embedded artificial intelligence applications, including real-time component identification using the K230 AI camera and an AI-powered gas sensing “electronic nose” system that uses edge computing and TinyML models to recognise scent profiles in real time.
According to DFRobot, the combination of modular sensors, integrated computing platforms and edge AI reference architectures aims to reduce development complexity and accelerate deployment of AIoT systems. The technologies are being showcased at Embedded World 2026 from March 10 to 12 in Nuremberg, Germany.
