Description
Highlight:
- Ultra small size
- High performance with low power consumption
- Ready to use just out of the box
Hardware Spec:
|
Component
|
Spec
|
|
CPU
|
Intel N100/N150 Alderlake-N
|
|
RAM
|
8GB/16GB LPDDR5
|
|
Storage
|
128GB/256GB SSD M.2
|
|
Wi-Fi
|
WiFi5/WiFi6 optional
|
|
BT
|
BT5.2
|
|
Ethernet
|
Giga-Ethernet RJ45 x2
|
|
USB
|
Type-A USB3.0 x 3
|
|
显示
|
HDMIx3
|
|
M.2
|
M.2 x1 B&M Key 2242
|
|
Audio
|
Audio Jack with MIC
|
|
RTC
|
Yes
|
|
Button
|
Power Button
|
|
Power
|
5.5×2.5 DC Jack 12V PD adaptor
|
|
CPU Fan
|
Smart Fan
|
|
Size
|
MB：80x80mm
Machine：85mmx85mmx35mm
|
|
Supported OS
|
Ubuntu22.04/24.04
|
|
Windows11
|
Pre-installed Use cases:
Security
-
Driver Action Recognition
-
Vehicle Detection
Education
-
Speech to Text
-
Optical Character Recognition
-
Handwritten OCR
-
Text Detection
-
Star type classification
Environment
-
Classification of Palmer Penguins
-
Forest fire Range prediction
-
Coral blenching
-
Climate change trend analysis and prediction
-
Climate change Sentiment analysis
-
Trash detection
Healthcare
-
CT Scan live inferencing
Others
-
Object detection
-
Human Pose estimation
-
Face detection and emotion recognition
-
LLM Chatbot
Pre-installed Applications:
- VS Code
- git
- Python
- miniforge3
- netron
- VLC media player
- OpenVINO
- OpenCV
- Jupyterlab
Reviews
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