
AI-based visual quality control
With BSMART AI, you can reliably automate and digitize your quality control by simply annotating fewer defect images and without any investment risk.
Stay competitive by automating your visual inspections within a day. You don't need any image processing expertise and you maintain full productivity.

Applications of BSMART AI
Our intuitive software enables you to reliably automate the following use cases in your production hall without any AI expertise

Surface inspection
Automated inspection of irregular defects on surfaces
Detection of surface damage such as scratches, dents or burrs
Detecting discoloration or smearing

Component detection & verification
Automated detection of components, even with minor
Distinguishing featuresInterfaces for automatic comparison of target and actual states

Positioning error
Detection of incorrectly positioned components
Detection of incorrectly oriented or non-centered elements

Classification
-
Automated classification of objects into predefined categories, such as subdivision by product type or error classes

OCR / Text Recognition
Automated extraction of lettering
Reliable detection of engravings on metal surfaces, embossing on rubber parts as well as poorly printed and deformed characters

Barcode / Datamatrix Code Recognition
Automated recognition of 1D and 2D barcodes
Reliable detection of e.g. engravings on metal surfaces or embossings on rubber parts
How it works
Pulls the image in
1

Image capture
Independent setting of all optical parameters for specific applications
Adapts autonomously to changes in the production environment during runtime
Intelligently selects optimized images from the live stream for the detection and inspection modules
Identifies the object
2

Recognition
Detects and recognizes static objects of any shape and surface
A reference image is sufficient for recognition
Supports variations of position and rotation in the field of view (FOV)
Can be self-triggered or use an external trigger
Find the error
3

Inspection
Only requires 20-30 good parts, no on-site training
Detects product tolerances
Physical properties
Differentiation between errors and permissible errors (without prior referencing or training)
Continuous improvement through permanent deep learning

View more case studies
Here you will find an overview of selected case studies. If you have any questions about individual examples or your specific use case, please feel free to contact us at any time!
Your benefits at a glance
BSMART AI offers you numerous advantages over classic quality control systems
0x
Recalibration
>80%
100%
Less pseudo-committee
Risk-free
0
AI expertise
Necessary
100%
Digitalized
Analyses