- Design for edge AI applications: Features onboard ML accelerator Google Edge TPU, optimized for TensorFlow Lite models, provides high performance ML inferencing
- CPU and GPU: Quad-core ARM Cortex-A53 and integrated GC7000 Lite Graphics support for better computing performance
- Memory and storage: LPDDR4 1GB memory, onboard 8GB eMMC 1 and Micro SD(TF) card slot for storage.
- Multiple connectivity options: Dual MIPI CSI for stereoscopic applications, compatible with DSI touch panel, HDMI port for display and USB 3. 2 Gen 1 port for date transfer
- Advanced power design: Supports 12V~19V Wide-range DC-in and power-protection design
Dev & Gear Rating 9.4/10
Discovered by Bojan Vidanovic