




·6TOPS INT8/3 TOPS FP16 equivalent computing power, typical power consumption 8W (peak 12 W).
· RISC-V 64-bit multi-core CPU works with deeply customized DPUs to reduce inference latency by 60% compared to CPU-only architectures.
Native support for PyTorch/TensorFlow, ONNX & TFLite one-click quantization/compilation toolchain.
Full SDK: model pruning, compilation, deployment, performance profiling, remote OTA.
Gigabit Ethernet x1, Wi-Fi6/BT 5.2 module optional 4G/5G expansion.
· USB-C (Power + Debug) for automated GPIO customization
·-20°C~70°C industrial temperature, aluminum-magnesium alloy heat dissipation base, support DIN-Rail/wall mounting.
Hardware PMP, Secure Boot.
· RESTfulAPI + MQTT/WebSocket, supporting mainstream edge NMS platforms (KubeEdge, OpenYurt, etc.).
Smart musical instruments, AI music.
Call center, transcription of meeting minutes, ambient sound monitoring in public places, wearable voice assistant.
· 1D FFT/MFCC dedicated instructions & SRAM double-buffered in the DPU for ≤2 ms latency for streaming audio processing.
Onboard 2-channel 24-bit ADC+1W Class-D DAC, supporting multi-microphone ring array/beamforming.
Built-in AEC/ANS algorithm library, real-time voice enhancement SNR increased by 20 dB.
Reference Model:
-WhisperTiny/Base On-Device inference 150 ms/30s fragment.
-PianoSession piano music real-time midi stream conversion.
-AudioLM Noise Detection, BirdNet Offline Bioacoustic Detection.
· Streaming ASR SDK: WebSocket/GRPC and low-code integration.
Analysis of access control gates, intelligent building attendance, park perimeter, and crowd behavior.
Dual-channel MIPI-CSI-2+DPU for face/gait vectorization operator (CosFace/GaitSet) hardware splicing.
Multi-model pipeline: detects one-alignment and one-feature extraction, 1080p<\18 ms per frame, and supports multi-person parallelism.
Encryption feature code (256 B) offline comparison > 100,000 databases, ≤ 0.3s.
Reference models: YOLOv7-tiny-facial, ArcFace-50, GaitGL-base, with an official quantization accuracy loss of ≤0.5%.
Provide Python/C++SDK+RESTAPI, built-in liveness detection, personnel classification and whitelist.
Live e-commerce camera insertion, real-time face effects, sound beautification, intelligent subtitles, barrage/traffic QoS optimization.
· The H.264/H.265 1080060 codec is directly connected to the DPU, and the inference path is zero.
Image fragmentation parallel + ROl (Region of Interest) mechanism, which prioritizes the facial area of the anchor.
· RTMP/SRT/WebRTC three-way protocol aggregation with built-in CDN collection acceleration plug-in.
Real-time body segmentation (BodyPix), dermabrasion/filters, speech recognition and subtitles with 80 ms end-to-end latency.
· OBS Studio plug-in: enable the Live-Edge acceleration channel with one click, supporting Windows, macOS, and Linux.