The Bitmain Sophon Neural Network Module (NNM) is a USB module that designed for Deep Learning inference on various edge application. NNM is powered by high performance, low power Sophon BM1880 chip. BM1880 chip supports DNN/CNN/RNN/LSTM models or uniquely trained networks, and can perform facial detection, recognition, facial expression analysis, object detection, recognition, vehicle license plate recognition, voiceprint recognition, etc. The NNM enables traditional product with AI functions, and can be used in smart IPC, Robots, industrial PC, etc.
Power and all data provided over USB 9pin (pin width: 1.25mm) interface
Supports DNN/CNN/RNN/LSTM models profiling, compiling and tuning
Real-time inference in edge device Quickly deploy existing
DNN/CNN/RNN/LSTM models or uniquely trained networks Features
Sophon BM1880 with energy efficient DNN/CNN/RNN/LSTM processing
Facial detection (Frame by Frame), recognition and expression analysis, such as Age, Gender, etc.
Human attributes and pose analysis
Object detection and recognition
Vehicle license plate recognition
Voice print recognition
Caffe, ONNX, Tensorflow, Pytorch
Supported AI Models
ResNet50, Yolo V2, GoogleNet V1, MobileNet v1&v2, SSD300, AlexNet, VGG16
H.264 decoder, MJPEG encoder/decoder
1x 1080p @60fps or 2x 1080p @30fps H.264 decoder, 75fps for FHD images
USB 9pin (pin width: 1.25mm) interface
Operating environmental temperature
0 – 40C (commercial level)
Minimum system requirement
X86_64 computer running Windows or Ubuntu USB3.0 or USB2.0 port
BMNet: Bitmain Compiler which can convert supported AI models to internal format accelerated by Sophon TPU.
ONNX: Compiler which can convert ONNX format to internal format accelerated by Sophon TPU.
Quantization Tool: Convert FP32 to INT8 and support calibration function.