Overpickling Identification: Ensuring Optimal Steel Surface Quality
The Overpickling Assistant is a software-based detection and monitoring system designed to assist operators, quality assurance managers, and production managers in a pickling line. It aims to recognize strip surface defects resulting from overpickling. By providing automatic recognition of overpickling through machine learning models and real-time visualization of pickling issues in an augmented camera stream, it increases the automation and accuracy of detecting pickling problems.
Overpickling, which causes strip spots on steel strip surfaces, can lead to poor product quality. This issue arises from excessive pickling time or insufficient acid inhibitors and typically requires manual detection by operators. The Overpickling Assistant automates the detection and monitoring of overpickling conditions, ensuring fast recognition of strip defects.
This AI-powered solution uses advanced computer vision to analyze the camera stream in real-time, detecting overpickling issues with low latency. It offers real-time visualization through an augmented camera stream that highlights affected areas on the steel strip as it enters the evaluation zone, providing immediate feedback for the superimposed systems like PDA or MES. The system goes a step further by quantifying the severity of overpickling on a scale of 0 to 100, providing invaluable data for the next processing stage. The Overpickling Assistant identifies and records strip spots due to overpickling, which might lead to strip break issues in the cold rolling process.
Its web-based configuration interface allows users to define specific areas for evaluation, offering flexibility and precision. The system supports seamless integration with existing video recording and display systems via the RTSP protocol, enabling continuous monitoring and recording of the pickling process and providing a comprehensive overview of production line performance for long-term quality assurance.
Benefits of the Overpickling Assistant
- Quality assurance: automatically detects and reports overpickling issues, ensuring high-quality strip surface issues recognition
- Production reliability: provides real-time feedback with superimposed systems for further action
- Reduced manual intervention: minimizes human error by automating the detection process
Features of the Overpickling Assistant
- AI-based detection: utilizes machine learning models to recognize overpickling conditions, such as strip spots on strip surfaces
- Real-time visualization: displays pickling issues in an augmented camera stream, allowing afterwards analyzation
- Web-based configuration: offers a user-friendly interface for defining evaluation zones within the camera signal
- Integration with RTSP and MQTT protocol: enables augmented camera streams for continuous monitoring with the existing camera system
Overpickling Assistant HMI shows no overpickling
Overpickling Assistant HMI shows medium overpickling
Overpickling Assistant HMI shows strong overpickling
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