SOPHON microserver SE9 8-BP1-11 is equipped with highly integrated intelligent vision deep learning processor CV186AH, featuring high performance and low power consumption, full peripheral interfaces, and strong environmental adaptability. It can flexibly cope with traffic intelligent, business intelligent, and smart energy scenarios by applying appropriate deep learning algorithms, which realised the digital empowerment on the edge computing.
High computational power utilization
Supports INT4/FP16/BF16/FP32
Supports intelligent analysis of up to 8 channels of high-definition video and hardware decoding of 16 channels of full high-definition video with encoding for up to 10 channels.
Support Caffe / TensorFlow / PyTorch / MXNet / Paddle Lite and other mainstream deep learning frameworks
Wide temperature range from -20°C to +60°C
Support various algorithms such as person / vehicle / non-vechicle / object recognition, video structuring, trajectory behavior analysis, etc.
Support smart Park / security / industrial control / business and otherfields and scenarios for flexible deployment
Supports USB 3.0, HDMI 2.0, RS-485, RS-232, Audio, SATA 3.0, CAN, and customizable I/O interfaces, among others
Supports LTE/5G/WIFI/BT wireless functions (optional)
Video stream and image stream recognition, video structure analysis, trajectory analysis, etc.
Checkpoint, automatic vechicle identification, law enforcement assistance, smart parking
Face recognition security checking, staff attendance management, smart alart system
Goods recognition, smart stores application, face recongnization payment
SOPHON SDK one-stop toolkit provides a series of software tools including the underlying driver environment, compiler and inference deployment tool. The easy-to-use and convenient toolkit covers the model optimization, efficient runtime support and other capabilities required for neural network inference. It provides easy-to-use and efficient full-stack solutions for the development and deployment of deep learning applications. SOPHON SDK minimizes the development cycle and cost of algorithms and software. Users can quickly deploy deep learning algorithms on various deep learning hardware products of SOPHGO to facilitate intelligent applications.
Model
SE9 8-BP1-11
Processor
6 core ARM CA53@1.6GHz
Memory
4G,Maximum support 16GB
EMMC
32GB,Maximum support 128GB
Deep learning Performance
8 channels of high-definition video intelligent analysis, supporting mixed precision operations,int4/int8/fp16/fp32
Video encoding capability
H.264&H.265:1080P@240fps
8192 * 8192 / 8K / 4K / 1080P / 720P / D1 / CIF
Picture codec capability
H.264&H.265:1080P@240fps
8K / 4K / 1080P / 720P / D1 / CIF
JPEG Codec
JPEG:1080P@240fps,Maximum support 32768*32768
Interface
ETH 10/ 100 / 1000Mbps*2
USB3.0 *2 / HDMI2.0 / Audio (in|out) / CAN / RS-232 / RS-485 / TF / GPIO / SATA 3.0
Optional Interface
LTE / 5G / Wi-Fi / BT
Thermal Cooling Solution
Passive cooling
Typical Power Consumption
12W
Working Temperature
-20℃ ~ +60℃
Mechanical
219.8mm * 200mm * 46.8mm
Protection Class
IP41
Power Supply
AC 220V / DC 12V