RELOC Brick-ML Box
RELOC Brick-ML Box is a compact, low-power embedded board designed for high-performance machine learning at the edge. The RELOC Brick-ML can be directly mounted on various equipment types to gather data (vibrations, temperature, humidity, noise, voltage) for training specific AI models. Load pre-trained Edge ML models onto the device to detect specific events or states and transmit them via wired or wireless connections. Brick-ML includes onboard processing, sensing, and communication capabilities in a small form and seamlessly integrates with Edge Impulse's top-notch Edge ML platform.Features
- 32-bit Arm® Cortex®-M33 core with FPU
- 200MHz clock speed
- Up to 2MB code flash memory, 8KB data flash, and 512KB RAM
- BLUETOOTH® 5.1 core specification compliant BLE transceiver and link layer
- 128Mbit onboard serial flash
- Sensors
- Knowles SPH0641LU4H-1 microphone
- Bosch BNO055 9-DOF IMU
- Renesas HS3001 high-performance T/H sensor
Applications
- Embedded machine learning
- Inference at the edge
- Gesture recognition
- Voice and sound classification
- Environmental conditions automatic analysis
- Connected intelligent sensors
Specifications
- Power supply
- USB 5.0V
- 12V÷24V (-1C/1E)
- Operating temperature
- -40°C to +85°C
- Standby current
- 1µA
- Wireless connectivity
- BLE 5.1 - output 2.2dBm
- Wired connectivity
- USB High-Speed
- CAN (-1C / -1E)
- Ethernet (-1E)
- Expansion
- Analog input (-1C / -1E)
- Size (RD-BML-1x)
- 89.0mm x 79.0mm x 33.0mm
Videos
Additional Resources
发布日期: 2023-09-15
| 更新日期: 2023-10-25
