1. Product Overview

The XM-AIBOX-32 AI Smart Edge Analysis Appliance is a high-performance, low-power edge computing product. Equipped with the BM1684X main chip, it boasts an INT8 computing power of up to 32 TOPS, FP16/BF16 computing power of up to 16 TFLOPS, and FP32 computing power of up to 2 TFLOPS. It can simultaneously process 32 channels of HD video, supporting hardware decoding for 32 channels of 1080P HD video and encoding for 12 channels.

This product highly integrates high-precision AI intelligent algorithms based on computer vision and deep learning networks, as well as a comprehensive video intelligent management platform. The AI intelligent algorithms cover various scenarios such as industrial parks, communities, construction sites, and campuses, and can be combined on demand and configured according to the specific scenario. The comprehensive video intelligent management platform supports front-end device management, real-time video preview, alarm push, forensic snapshot, online algorithm loading and optimization, data situational analysis dashboard display, and more. The device is easy to operate, plug-and-play, and features rich northbound API interfaces to empower upper-layer business application platforms.

1. Product Features

Ultra-High Performance Computing and Codec Capabilities

Supports peak INT8 computing power of up to 32 TOPS;
Supports FP16/BF16 half-precision computing power of up to 16 TFLOPS;
Supports FP32 high-precision computing power of 2 TFLOPS;
Supports hardware decoding for up to 32 channels of H.264/H.265 1080P@25FPS video;
Supports hardware encoding for up to 12 channels of H.264/H.265 1080P@25FPS video.

Rich Built-in AI Algorithms

Built-in with over 30 AI algorithms, supporting flexible matching and custom combinations;

(Supports Person Structuring / Face Recognition / Vehicle Structuring / License Plate Recognition / Flame Detection / Smoke Detection / Smoking Detection / Phone Call Detection / Mobile Phone Usage Detection / Mask Non-compliance Detection / Personnel Absenteeism Detection / Personnel Sleeping on Duty Detection / Person Fall Detection / Personnel Static Discharge Detection / Area People Counting / Area Under-occupancy Detection / Area Over-occupancy Detection / Area Abnormal Occupancy Detection / Area Intrusion Detection / Work Uniform Detection / Safety Helmet Detection / Reflective Vest Detection / Electric Bicycle Detection / Standardized Parking (Illegal Parking) / Entrance/Exit Passenger Flow Statistics / Perimeter Climbing Intrusion / Personnel Cross-border Detection / Area Loitering Detection / Fire Lane Occupancy / Fire Escape Route Occupancy / Waste Not in Bin Detection / Overflowing Waste Bin Detection / Waste Disposal Reminder / Camera Abnormal Movement Detection and other algorithms)

Each video channel supports up to 3 AI analysis tasks running simultaneously;
Supports up to 32 video AI analysis tasks running concurrently; when exceeding 32 AI analysis tasks, polling analysis can be performed.

Rich Interfaces, Flexible Deployment

Supports rich interfaces: 1000M Ethernet port, USB3.0/USB2.0, HDMI, RS-485, RS-232;
Supports wide operating temperature range from -20℃ to +60℃;
Supports IP30 protection rating, fanless cooling (subject to specific model);
Adapts to support SATA storage, supports 2TB storage capacity (subject to specific model);
Optional support for LTE wireless backhaul function (subject to specific model);
Northbound interfaces: Supports HTTP protocol, MQTT protocol, GB28281
Southbound interfaces: Supports GB28281, Onvif, RTSP

High Reliability, Encrypted Protection

Supports high-capacity eMMC with development support for primary/secondary partitions;
Supports abnormal fault alarm and protection handling mechanisms;
Supports programmable encryption chip for privacy information protection.

User-Friendly Toolchain, Flexible Development

One-stop deep learning development toolkit Sophon SDK;
Supports mainstream deep learning frameworks such as Caffe/DarkNet/TensorFlow/PyTorch/MXNet/ONNX/PaddlePaddle;
Supports mainstream classification and detection network models, supports custom operator development;

Supports Docker containerization for rapid deployment of algorithm applications.

1. Technical Specifications

Specifications

XM-AIBOX-32

Technical Specifications

Chip

SOC

BM1684X

CPU

8-core A53@2.3GHz