Image processing: Process monitoring with image sensors in blurred scenarios (gypsum production)
Recognize and measure
Research and development in the field of image processing can be oriented quite differently. On the one hand, advances in the definition of a theoretical mathematical model for digital images provide important foundations for the understanding of image acquisition and interpretation. On the other hand, rapid developments in the field of robotics and the use of neural networks for visual sensors in industrial practice go hand in hand. Within this field of conflict, the IAB is working in the field of model-based, camera-based object detection and optical measuring. When monitoring production processes, image sensor-based factory automation and quality assurance, the employees in the competence area of process analysis and control are the appropriate contact persons.
Object recognition and object measurement
The main emphasis is on object recognition and measurement with intelligent optical sensors. Special emphasis is on production monitoring processes such as image sensor-based automation in production or quality assurance.
Process optimization
An example from the process monitoring is the Alpha-Gypsum project. Within this research project, the crystal forms occurring in the plaster production process were determined using image processing methods and were statistically evaluated. With an increased proportion of unwanted crystal forms, the plant operator can consciously take counter measures, thus optimizing the production results qualitatively.
Quality assurance system
The quality assurance system for the production of concrete blocks implemented at IAB Weimar automates the replacement process. With the help of image processing controlled robot, concrete blocks that do not meet the quality guidelines and are defective, can be sorted using robot thereby eliminating physically exhausting work processes.
Image processing: robot control based on 2D image data (concrete blocks)
Quality control and process monitoring
For quality control and process monitoring, we have a project called bubble-point test. The test setup for filters serves to rule out possible material and manufacturing defects.
Quality assurance in industrial production (filter)
Robust monitoring systems
The live trap is an intelligent device to capture animals in the wild and to relocate. The latch mechanism of the trap is activated only when the image processing system has uniquely identified the predetermined species.
Camera-based animal species recognition for animal welfare purposes (resettlement of wild animals)
Recognize and measure
Research and development in the field of image processing can be oriented quite differently. On the one hand, advances in the definition of a theoretical mathematical model for digital images provide important foundations for the understanding of image acquisition and interpretation. On the other hand, rapid developments in the field of robotics and the use of neural networks for visual sensors in industrial practice go hand in hand. Within this field of conflict, the IAB is working in the field of model-based, camera-based object detection and optical measuring. When monitoring production processes, image sensor-based factory automation and quality assurance, the employees in the competence area of process analysis and control are the appropriate contact persons.
Object recognition and object measurement
The main emphasis is on object recognition and measurement with intelligent optical sensors. Special emphasis is on production monitoring processes such as image sensor-based automation in production or quality assurance.
Process optimization
An example from the process monitoring is the Alpha-Gypsum project. Within this research project, the crystal forms occurring in the plaster production process were determined using image processing methods and were statistically evaluated. With an increased proportion of unwanted crystal forms, the plant operator can consciously take counter measures, thus optimizing the production results qualitatively.
Quality assurance system
The quality assurance system for the production of concrete blocks implemented at IAB Weimar automates the replacement process. With the help of image processing controlled robot, concrete blocks that do not meet the quality guidelines and are defective, can be sorted using robot thereby eliminating physically exhausting work processes.
Image processing: robot control based on 2D image data (concrete blocks)
Quality control and process monitoring
For quality control and process monitoring, we have a project called bubble-point test. The test setup for filters serves to rule out possible material and manufacturing defects.
Quality assurance in industrial production (filter)
Robust monitoring systems
The live trap is an intelligent device to capture animals in the wild and to relocate. The latch mechanism of the trap is activated only when the image processing system has uniquely identified the predetermined species.
Camera-based animal species recognition for animal welfare purposes (resettlement of wild animals)