AIoT Edge Computing Digital Intelligence Base of Industrial Interconnection
Based on the cross-platform heterogeneous computing capability , build an efficient productivity platform for industrial algorithms, use the edge computing acceleration engine to build an AIoT base, and build a software and hardware integration digital intelligence base.
A
B
Algorithm Training
____
Automatic Data Annotation - Small Sample Migration - Automated Model Training - Automated Model Training - Algorithm Evaluation Adaptation
C
Multimodal Large Visual Language Model
____
Big model fine-tuning and recognition services of AI industry
Basic large model training
Definition of Industry Scenario Requirements
Algorithm Inference and Deployment
____
Intelligent Manufacturing Analysis Pipeline - Visual Arrangement - Behavioral Event Inference - Zero Code Generation System
Product Advantages
— Smart production within reach—
Super Reliable
Ultra simple
Ultra Precision
Super flexible
Industrial grade protection design with fanless, suitable for wide temperature working environments; Supports gigabit dual port cross domain transmission, as well as 4G/5G/WiFi wireless transmission;
Under standard scenarios, most algorithms have high recognition accuracy and can be connected to the AI visual platform to achieve iterative algorithm updates;
Plug and play, compatible with mainstream cameras, comes with a visual wa-rning application, easy to deploy, can be used independently, and can also be connected to third-party platforms;
Self-developed algorithm warehouse, flexible algorithm scheduling, compr-ehensive intelligent functions, and sh-elf style selection;
AI Training and Promotion Integrated Platform
1 hour to build a complete AI production system
Automated Training Platform Inference Platform SDE Edge Devices |
Building a Lower Algorithm Production Threshold, UGAI Achieves Inclusive AI
Translation: Open platform, thriving ecosystem: Standardized interfaces facilitate the construction of an AI ecosystem, with a modular approach to generating and registering event algorithms based on the process Graph, allowing users to fully participate in AI production and meet diverse scene requirements;
Training and inference cloud-edge collaboration: Integrated training and inference, with real-time field data feeding continuous incremental training for iteration and optimization;
Full-stack innovation: Respond to user needs within hours, quickly completing IT innovation adaptation without data leaving the network, ensuring information security.
Create user-defined flowcharts and build event algorithms in a modular manner
On-demand deployment: Define the software algorithm capability architecture of the end-edge-cloud products on demand; quickly and dynamically deploy the AI analysis engine;
Expanding the AI boundary: Integrate smart video analysis and IoT technology to adapt to the actual needs of business scenarios and the diversity of edge inference capabilities.
To focus on the foundation, cloud-edge collaboration expands the boundaries of AI applications
Precision: Built in data augmentation to improve data utilization efficiency, automated training and parameter tuning, with expert level accuracy in 80% of scenarios;
Efficient: Supports one click push of AI models to intelligent terminals, with low code design and rapid deployment, reducing development costs by 95%;
Flexibility: Excellent basic operator model, distillation and transfer of source domain knowledge, strong scene fusion ability;
Intelligent Security
———
In fields such as chemical engineering, fire protection, construction sites, factories, and limited spaces, proactive monitoring and early warning, prevention and control, safety production, compliance operation warning, safety emergency response, full utilization of the old, plug and play, over a hundred algorithms, can be updated and iterated, and can be customized.
Smart branches
———
Reduce financial business risk control, comply with operational monitoring and early warning, reduce costs and increase efficiency, proactively alert for security prevention, reduce the workload of manual video monitoring in the background, save night patrol investment costs, and actively monitor safety 24 hours a day without blind spots, improving customer satisfaction and exploring potential customers; Improve operational efficiency and effectively allocat
e resources.
Smart Inspection
———
AI+Road Inspection: Unlocking New Skills for Road Disease Management! For over 20 common road diseases, algorithms automatically identify, analyze, and predict them, reducing personnel operational risks while improving quality and efficiency, helping to create a data-driven new mode of road maintenance
Application Scenarios
Targeting the large-scale implementation of various industries, creating a new era of industry+AI with full scenario implementation
——
Smart Transportation
———
In scenarios such as smart intersections, highways, and road transportation, technologies such as MEC edge computing and radar-vision fusion are employed. This integration leverages the advantages of radar, which offers all-weather and high-precision capabilities, and video information, which provides rich and visually intuitive data. By fusing radar-vision data with AI intelligence, the technology is capable of detecting a full range of traffic parameters and events, thereby achieving better outcomes and broader application across various scenarios.
Smart Patrol
———
Power cable protection inspection; Utilize AIoT edge intelligence to provide real-time warning for abnormal targets and behaviors, and prevent damage to power cables during construction.
Community, park, campus, mobile patrol
———
Capture facial features, human bodies, motor vehicles, non-motor vehicles, license plates and so on. Analyze their attributes, and bind their association relationships; Behavioral warning analysis, such as supporting analysis of various behaviors such as fighting, falling, rapid running, intrusion, etc.
Smart Education
———
Sincn the laboratory production and construction of AI systems have a long cycle, our integrated training and teaching system of AI training and reasoning is in line with the national policy of investing heavily in education and promoting the implementation of inclusive AI.
Smart Healthcare
———
The integration of AIoT technology enables real-time and accurate collection, transmission, analysis, processing, and application of medical data.
|
|
Service Cases
AI monitoring and early warning of safety production in chemical industrial parks, achieving access to over 20 enterprises.
Intelligent control of branches, achieving access to over 200 branches, effectively mining the value of video data in branches, assisting financial security, compliance operations, refined operations, and improving customer service.
Build an intelligent security monitoring system to monitor the security status of branches in real time, quickly respond to abnormal situations, and effectively ensure the stable operation of business.
About Us
Enterprise Introduction
AIoT Product
Algorithm Ecosystem
Solution
Technical Support
Contact Us
18923898977
Address
B709, Lan Guang Technology Building, No. 27 Gaoxin North 6th Road, Songpingshan Community, Xili Street, Nanshan District, Shenzhen
Development History
Corporate Culture
Enterprise Qualification
AI Box Series of NVIDIA Jetson
AI Box Series of Sophon
Industrial production site management
Smart Transportation
Smart Inspection and Patrol
Smart Finance
Safety Emergency
Financial Service
Smart transportation
Patrol and Inspection
Smart City
After-Sale Service
Customized services
Download Center
Smart Campus
AIoT Intelligent Gateway Series of Rockchip
AI Training and Promotion Integrated Platform
AIoT Edge Computing
Digital Intelligence Base
Community/Shop/Campus
Smart Charging Station
AI Industry Application All-in-one Machine
Industrial Dust Explosion-Related Production
Safety Emergency and Hazardous Chemical Industrial