Baidu AI Cloud Yijian - Baidu's AI Vision Large Model Platform

What is Baidu AI Cloud Yijian?

Baidu AI Cloud Yijian is a visual large-scale model platform launched by Baidu AI Cloud. It aims to democratize professional-grade visual AI applications based on leading visual large-scale model technology and rich scenario-based algorithm solutions. The platform establishes a closed-loop system from model production and effect optimization to application configuration, helping enterprises and industry partners build professional-grade visual AI applications at low cost and with zero barriers to entry. At the 2024 Baidu Cloud Intelligence Conference, Baidu AI Cloud Yijian Visual Large-Scale Model Platform v4.5 was newly upgraded and released, further reducing model production costs, achieving end-to-end automated effect optimization, and providing zero-code AI skill orchestration to adapt to the needs of different business scenarios. The platform has cloud-edge collaboration capabilities, supports integrated hardware and software deployment, and comes with the intelligent assistant Du An'an, comprehensively improving the efficiency and convenience of AI applications.

Baidu AI Cloud's latest upgrade to Yijian introduces a multi-user collaboration SOP analysis agent. Based on multimodal large model technology, it can accurately identify operational procedures in multi-user collaboration scenarios and provide real-time error alerts. This technology effectively addresses pain points for chain stores in areas such as food safety, service compliance, and material management, helping stores achieve digital management upgrades and improve operational efficiency and customer experience.

The main functions of Baidu AI Cloud One-Stop

• Multimodal large modelIt significantly reduces the marginal cost of model production and improves the efficiency of model training and application.
• End-to-end performance tuning automationIt automates the entire process from early warning generation to model updates, simplifying the optimization process for AI applications.
• Zero-code AI skills orchestrationIt supports non-technical personnel to flexibly adapt to on-site management needs through drag-and-drop, achieving effective integration of AI models with business scenarios.
• Extensive industry model library and algorithm pipelineIt provides a large number of pre-trained models and algorithms, supports the management and iteration of third-party models, and lowers the threshold for enterprises to build their own models.
• Cloud-edge collaborationIt supports effective data collaboration between the cloud and the edge, enabling unified management and control at headquarters and edge inference analysis at the site.
• Operation process identification and early warningIt accurately identifies operational processes in multi-person collaborative scenarios, analyzes and warns of errors in real time, ensures that operations comply with standards and specifications, and reduces mistakes.
• Food safety risk identificationIt can accurately detect food safety risks such as pests, cross-contamination, and hygiene issues in the kitchen, reducing the cost of manual inspections and the probability of missed detections.
• Service Compliance ManagementQuantify service steps, such as the time it takes for dishes to be served and clearing tables after customers leave, to achieve unified management of store service standards and improve customer experience.
• Material inventory managementThe "AI Inventory Check" system automatically completes material consumption checks, synchronizes inventory information automatically, reduces manual inventory time, and improves management efficiency.

Baidu AI Cloud's Technical Principles

• Deep learningIt uses deep neural networks to process complex visual tasks, and trains models with a large amount of data to recognize patterns and features.
• Multimodal learning: Combine different types of data (such as images, text, and sound) to improve the model's understanding and processing capabilities.
• Transfer learningModels pre-trained on large-scale datasets are fine-tuned to adapt to specific application scenarios.
• Automated Machine Learning (AutoML)It automatically performs model selection, hyperparameter adjustment, and training, improving efficiency and effectiveness.
• Cloud edge computingIt combines the powerful computing capabilities of cloud computing with the low latency of edge computing to achieve efficient data processing and model inference.

Baidu AI Cloud project address

• Project official websiteyijian.cloud.baidu.com

Baidu AI Cloud Application Scenarios

• Industrial quality inspectionIn manufacturing, automated inspection of product defects improves product quality and production efficiency.
• Safety production monitoringIn high-risk environments such as mines and construction sites, video surveillance analyzes employee behavior to ensure compliance with safety procedures.
• Restaurant chain managementThe service quality of chain restaurants is evaluated, and video analysis is used to score employee service standards.
• Retail AnalysisIn retail stores, analyze customer behavior and traffic patterns to optimize store layout and marketing strategies.
• Traffic monitoringTraffic flow analysis and violation detection improve road safety and traffic efficiency.