AI Algorithm Edge Box -- Intelligent Terminal for All Scenes, Making Computing at the Edge “Fast, Accurate, and Stable”

Product Value
Integrates high-performance NPU and adaptive algorithm framework, realizing millisecond-level end-side reasoning and multimodal data processing. It supports real-time decision-making in industrial quality inspection, security inspection, smart retail and other scenarios, reduces 90%+ cloud transmission costs, improves business response efficiency, and creates an edge intelligent hub with low latency, high reliability, and strong privacy protection (Picture: Edge Box Hardware Appearance + Dynamic Dashboard for Real-time Video Analysis).

Core Functions

Algorithm Factory:
Preset 100+ industrial-grade AI model libraries, support one-key switching scene adaptation;
Dynamic optimization:
TensorRT-based model quantization acceleration + incremental learning self iteration;
Multi-source fusion:
Support video/sensor/PLC data collaborative analysis;
Minimal operation and maintenance:
Remote OTA upgrade + visualized configuration interface.
Technical Advantages

Strong computing power adaptation: 4TOPS-32TOPS computing power coverage, -30℃~75℃ wide temperature operation;
Protocol omnipotence: compatible with ONNX/PyTorch/TensorFlow models, supports 20+ industrial protocols such as RTSP/Modbus/MQTT;
Lightweight design: power consumption as low as 5W, size adapted to DIN rail/wall mounting.
Application Scenarios

Industrial manufacturing:
High-speed production line foreign object detection + equipment predictive maintenance;
Intelligent transportation:
Real-time analysis of congestion at intersections + edge forensics of illegal events;
Retail upgrade:
Passenger flow hot zone analysis + intelligent shelf out-of-stock reminder;
Agricultural monitoring:
Pest and disease leaf identification (real-time feedback from mobile app) + intelligent inventory of livestock and poultry numbers (dynamic counting board).
Security and Openness
Through IP67 protection certification and state-level data encryption, support federal learning to ensure that private data does not go out of the domain, and provide Python SDK and Restful API to seamlessly interface with cloud platforms, SCADA systems and third-party applications.

Industry Empowerment

Industrial quality inspection efficiency is improved by 50%+, and the leakage rate is reduced to less than 0.1%;
Campus security labor costs reduced by 70%, incident response shortened to within 2 seconds;
Retail ping efficiency analysis granularity is refined to a single hour, and store optimization decision-making is accelerated by 80%.