Edge AI Computing Device Combines NVIDIA Jetson NANO Processor
Edge AI Computing Features
1. NVIDIA Jetson Nano processor
2. Quad-core ARM Cortex-A57 MPCore
3. Small compact box with passive cooling
Edge AI Computing Configuration
| Processor | NVIDIA Jetson Nano | ||
| AI Performance | 472 GFLOPS | ||
| CPU | Quad-core ARM Cortex-A57 MPCore | ||
| GPU | NVIDIA Maxwell GPU with 128 CUDA Gores | ||
| Memory | 4GB 64-bit LPDDR4 | ||
| Storage | 16GB eMMC 5.1 | ||
| Video Encode | 1x4K @ 30 (HEVC) | ||
| 2x1080P @ 60(HEVC) | 4x1080P @ 30 (HEVC) | ||
| Video Decode | 1x4K @60 (HEVC) | 2x4K @ 30 (HEVC) | |
| 4x1080P @ 60(HEVC) | 8x1080P @ 30 (HEVC) | ||
| I/O Configuration | 1*Gigabit Ethernet | 1*Micro HDMI | 1*Micro SD slot |
| 1*USB2.0 OTG | 1*USB3.0(Type-c P2) | 1*WIFI module support | |
| Function Key | 1*power button | 1*Recovery button | |
| Dimension | 122x 65.5x43mm(I/O ports and mounting holes excluded) | ||
| Environmet | Operating Temperature | -20℃ - 60℃ | |
| Storage Temperature | -40℃ - 80℃ | ||
| Humidity | 5-90% @ 40℃, non-condensing | ||
| Protection | IP50 | ||
| Certificates | CCC / ROSH / SRRC | ||
Edge AI Computing Application
Smart medical diagnosis terminal equipment
educational robot
Unmanned Aerial Vehicle/Drones
transportation
logistics and other industries, replacing labor with machine vision technology can improve production efficiency and product quality
