Realtime Computer Vision
for quality and process optimization
Visual Inspection for AI-Based Quality Checking
Realtime Computer Vision - RCV - is a modular platform that can be used to implement all computer vision applications, such as image classification, object recognition, and image segmentation. RCV uses deep learning algorithms, a subfield of artificial intelligence (AI).
Use Case: Quality Inspection
- Control of surface defects
- Final assembly inspection of components or products
The example shows the indication of good (green colored segments) and
bad (red colored segments) areas during the quality inspection of weld seams.
Use Cases: Object Detection and Completeness Check
- Component inspection for shape, structure, color or texture
- Label and barcode recognition in logistics
- Optical inspection of final assembly
- Automated component picking
The example shows the detection and counting of wrapped cups (red bounding box) and unwrapped cups (yellow bounding box) in a crate for completeness control.
Use Case: Storage Location Detection
- Label and barcode recognition
- Precise positioning and orientation by drone
- Capturing, classifying and tracking objects in warehouses
The example shows the detection and documentation of various containers
and objects such as mesh boxes, dollies or pallets in a warehouse.
RCV Platform in Detail
Extensive Platform Solution
Functionalities and Benefits
From Image to Model
Computer Vision in Action
References
Our solutions are already being used successfully by customers and help them every day, for example, to increase quality and efficiency in production.
Learn more about:
Further Examples of Use
See for yourself
More videos and information about the use of RCV
Type plate identification
Demonstrator at the Microsoft Technology Center (MTC)
We look forward to hearing from you!
We will be happy to answer your questions and provide you with individual advice.
