What is Baidu AI Cloud YiJian
Baidu AI Cloud YiJian is a visual large model platform launched by Baidu AI Cloud, aiming to democratize professional-grade visual AI applications based on leading visual large model technology and rich scenario-based algorithm solutions. The platform connects the entire chain 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 threshold. At the 2024 Baidu Cloud Intelligence Conference, Baidu AI Cloud YiJian Visual Large Model Platform v4.5 was newly upgraded and released, further reducing model production costs, achieving end-to-end effect tuning automation, and providing zero-code AI skill orchestration to adapt to the needs of different business scenarios. The platform has cloud-edge collaboration capabilities, supports software-hardware integrated deployment, and is equipped with the intelligent assistant Du An'an, comprehensively improving the efficiency and convenience of AI applications.
The latest upgrade of Baidu AI Cloud YiJian introduces the Multi-person Collaboration SOP Analysis Agent. Based on multimodal large model technology, it can accurately identify operation procedures in multi-person collaboration scenarios and provide real-time warnings for errors. This technology can effectively solve the pain points of chain stores in food safety, service compliance, and material management, helping stores achieve digital management upgrades and improve operational efficiency and customer experience.
Main Features of Baidu AI Cloud YiJian
- Multimodal Large Model: Significantly reduces the marginal cost of model production and improves the efficiency of model training and application.
- End-to-End Effect Tuning Automation: Achieves full-process automation from warning generation to model updates, simplifying the tuning process of AI applications.
- Zero-Code AI Skill Orchestration: Supports non-technical personnel to flexibly adapt to on-site management needs through drag-and-drop, enabling effective integration of AI models with business scenarios.
- Rich Industry Model Library and Algorithm Production Line: 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 Collaboration: Supports effective collaboration of data between the cloud and edge, enabling unified control at headquarters and edge inference analysis at sites.
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Operation Procedure Recognition and Warning: Accurately identifies operation processes in multi-person collaboration scenarios, analyzes and warns of erroneous steps in real time, ensures operations comply with standards and specifications, and reduces mistakes.
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Food Safety Risk Identification: Accurately detects food safety risks such as kitchen pests, cross-contamination, and hygiene issues, reducing manual inspection costs and the probability of missed judgments.
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Service Compliance Management: Quantifies service steps, such as dish serving time and table clearing after customers leave, enabling unified management of store service standards and improving customer experience.
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Material Inventory Management: Through "AI inventory counting," automatically completes material consumption counting, enables automatic synchronization of inventory information, reduces manual inventory counting time, and improves management efficiency.
Technical Principles of Baidu AI Cloud YiJian
- Deep Learning: Processes complex visual tasks based on deep neural networks, training models on large amounts of data to recognize patterns and features.
- Multimodal Learning: Combines different types of data (such as images, text, and sound) to improve the model's understanding and processing capabilities.
- Transfer Learning: Models pre-trained on large-scale datasets are fine-tuned to adapt to specific application scenarios.
- Automated Machine Learning (AutoML): Automatically performs model selection, hyperparameter tuning, and training, improving efficiency and effectiveness.
- Cloud-Edge Computing: Combines the powerful computing capabilities of cloud computing with the low-latency characteristics of edge computing to achieve efficient data processing and model inference.
Project address of Baidu AI Cloud YiJian
- Project official website：yijian.cloud.baidu.com
Application scenarios of Baidu AI Cloud YiJian
- Industrial quality inspection: In manufacturing, automatically detects product defects, improving product quality and production efficiency.
- Safety production monitoring: In high-risk environments such as mines and construction sites, video surveillance analyzes employee behavior to ensure compliance with safety regulations.
- Restaurant chain management: Evaluates the service quality of chain restaurants, and video analysis scores employees' service standards.
- Retail analysis: In retail stores, analyzes customer behavior and traffic patterns to optimize store layout and marketing strategies.
- Traffic monitoring: Traffic flow analysis and violation detection, improving road safety and traffic efficiency.