Deep Learning OCR and Symbol Presence Inspection on Washing Machine Panels
A two-camera deep learning OCR system locates and reads printed characters and checks for the presence or absence of indication symbols on washing machine control panels.
Vision system for OCR and presence / absence of symbols
The Application
Accurate quality control of printed panel characters
A deep learning OCR system is employed to inspect character printing on washing machine panels. It locates and reads characters while checking for the presence or absence of indication symbols, ensuring accurate quality control in manufacturing.
Key Factors
Two camera setup
Accuracy in OCR
Comprehensive error detection
Adaptability to variations
User-friendly HMI
Multi-level access to user and operator
Performance at a Glance
Two cameras covering each panel
2
Cameras covering the left and right sides of the panel.
OCR
Deep learning character recognition.
PASS / FAIL
Panel marked PASS only when all characters and symbols are correct.
Operation
How the inspection works
Each camera performs the same tasks on its own side of the washing machine panel.
01
Left-hand camera
Locates, performs OCR, and checks the presence or absence of indication symbols on the left side of the panel.
02
Right-hand camera
Performs the same tasks on the right side of the panel.
03
PASS or FAIL
If all characters are read and all symbols are correctly identified, the panel is marked PASS; otherwise it shows FAIL.
Final Result
Left and right camera results on the HMI
Result screen — LH and RH cameras reading characters and symbols, both Pass
Technology Used
Hardware behind the inspection
Basler 3.2 MP Camera
Two cameras capture the left and right panel areas.
12 mm Lens
Optics for the panel field of view.
White Bar Light
Even illumination of the printed panel.
Aurora Vision Deep Learning
Deep learning OCR and symbol detection.
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