Product Features
- A Physical AI–based smart home control system training platform, modularized into four zones—Entrance, Room (indoor), Kitchen, and Pixel Board—on a rectangular panel built with large aluminum-profile frames
- Sensors and actuators in each zone are driven by a high-performance MCU, supporting standard interfaces such as I²C/PWM/GPIO and real-time control loops
- An intelligent unified controller equipped with a CUDA-accelerated edge supercomputer supports high-performance inference and multimodal perception/control services
- The intelligent unified controller provides a large touchscreen–based HMI/GUI runtime, enabling easy composition of system monitoring dashboards and control scenarios
- With a camera and digital microphone (array), supports AI human–machine interfaces (HMI) such as vision/audio-based user recognition and command processing
- The high-performance MCU and intelligent unified controller are interconnected over a TCP/IP network via a router; with Internet access, secure remote connectivity and control scenarios can be configured
- Provides the Pop plus library, which controls physical components through a unified API regardless of local or remote deployment (device abstraction, event-subscription I/O)
- Provides an open-source MQTT broker supporting SSL/TLS-based encrypted communication and authentication, with standard QoS and topic-level access control (ACL) configuration
- Provides an integrated Python/MicroPython development environment, including real-time logs/serial console, firmware transfer, and package-management workflows
- Provides sample implementations for IoT security training, including 2FA-based user authentication/authorization and AES-based encryption
- Provides Blynk examples for building remote-control GUIs on Android/iOS without coding
- Provides integrated Physical AI control examples based on PySide6, DeepStream Perception, and Riva Speech Embedded
Software Specifications
Hardware Speicifications
Layout
Block Diagram
Educational content
Components
