In the field of industrial automation and machine vision, data integration and process optimization remain key challenges for enterprises. As a member of the Siemens Workflow Canvas community, we have partnered with Siemens to drive seamless integration of smart manufacturing and machine learning applications.
We specialize in AI, 3D vision technology, and Automated Optical Inspection (AOI) to provide efficient and intelligent inspection solutions for the manufacturing industry. Our AI algorithms accurately identify defects in production, while 3D vision technology enhances detection accuracy to ensure the highest product quality standards.
Traditionally, the gap between Information Technology (IT) and Operational Technology (OT) has increased the complexity of system development and deployment. Siemens Workflow Canvas provides an intuitive low-code/no-code development environment, enabling IT and OT teams to collaborate and quickly build intelligent automation solutions. Leveraging this platform, we seamlessly embed machine learning models into production processes for real-time decision-making and anomaly detection.
In industrial environments, data visualization and analysis are crucial. The built-in 3D visualization capabilities of Workflow Canvas allow us to clearly present production line data and enhance data usability through the Semantic Data Layer (SDL). This not only improves the efficiency of equipment condition monitoring but also helps businesses achieve more precise predictive maintenance.
Our team focuses on developing AI-driven machine vision and automated inspection solutions, ensuring flexible deployment in both on-premise and cloud environments through Workflow Canvas’ containerized runtime. This scalability enables us to provide customers with flexible smart factory solutions, covering everything from product quality inspection to production process optimization, all in real-time applications.
We will continue to deepen the integration of AI and industrial automation, maintaining close collaboration with the Siemens Workflow Canvas community to explore more innovative application scenarios. Through this platform, we look forward to helping more enterprises accelerate digital transformation and usher in a new era of smart manufacturing.
If you would like to learn more about our solutions, feel free to contact us and explore the future of industrial AI together!
Siemens Workflow Canvas is a cloud-native IT/OT integration toolkit designed to accelerate the development of integrated digital solutions. It offers web-based engineering, built-in 3D visualization, and a container-based runtime that can be deployed on-premise or in the cloud. This platform enables intuitive drag-and-drop workflow design, facilitating seamless collaboration between IT and OT engineers to orchestrate complex industrial processes efficiently. Workflow Canvas+1Siemens Developer+1
DaoAI's Automated Optical Inspection (AOI) system integrates with Siemens Workflow Canvas to provide high-precision defect detection within automated workflows. The integration allows for:
Seamless Communication: The Programmable Logic Controller (PLC) initiates inspection requests, which are managed by Workflow Canvas and forwarded to DaoAI's AOI system.
Real-Time Analysis: The AOI system captures images, analyzes data, and detects anomalies such as assembly misalignments or defects.
Automated Decision-Making: Based on inspection results, the system determines product quality status (OK or NG) and communicates with Workflow Canvas to trigger necessary corrective actions via the PLC or other connected equipment.
The integration offers several advantages:
Enhanced Efficiency: Automates inspection processes, reducing manual intervention and increasing throughput.
Improved Accuracy: DaoAI's AOI system achieves up to 99.7% precision, with defect miss rates and false positives below 1%.
Scalability: The containerized runtime of Workflow Canvas allows for flexible deployment across various environments.
Real-Time Feedback: Immediate detection and correction of defects minimize downtime and maintain product quality.
Yes. In a case study, a client implemented a fully automated laptop inspection system using DaoAI's AOI system integrated with Siemens Workflow Canvas. The system performed comprehensive defect detection, including screw height discrepancies and connector alignment precision. Upon detecting defects, Workflow Canvas aggregated the results and automatically triggered corrective actions, such as instructing robotic arms to make real-time adjustments, ensuring a fully automated quality control workflow.
Workflow Canvas's built-in 3D visualization capabilities and Semantic Data Layer (SDL) enhance data usability and equipment condition monitoring. This integration allows for:
Advanced Visualization: Clear presentation of production line data for better analysis
Predictive Maintenance: Improved efficiency in monitoring equipment conditions, enabling timely maintenance actions before failures occur. DaoAI
Yes. DaoAI's AOI system is available on the Siemens Xcelerator platform, allowing manufacturers to purchase and integrate it effortlessly. Additionally, DaoAI offers custom AI model development services tailored to specific industrial applications, including automotive manufacturing, electronics assembly, and more.