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OCR Type A230
20.1 Specifications
Item
Frame memory
Operator interface
Monitor display
Processing
Gray scale
Number of product types
Position and
Rotation position
Rotation position
adjustment
function
Character
recognition
Dictionary for
character
recognition
Character
verification
Inspection
functions
Smart matching
(sub−pixel
processing)
Lead inspection
(sub−pixel
processing)
Gray edge
(sub−pixel
processing)
Gray window
Specification
512 × 480 (pixels) × 256 gradations
Menu selection using special−purpose keypad (English/Japanese switchable)
Can be switched between Gray Scale Memory, Gray Scale Thru and Gray Scale NG
8bit 256 gradations
32
8 per type
Sequence setting by matching/gray scale edge
Priority adjustment function, Multi−stage adjustment function
Max. 8 per type
Area: Rectangle
Inspection method:
Outputs character label with highest match with specified dictionary.
Processing:
Character reading using Neural Network
Inspection object:
Black/white specification possible
Inspection direction: Right to left, left to right, up to down, and down to up
Character segment: Gray scale, automatic binarization, fixed binarization, with swelling/
shrinking function
Adjustment:
Position and rotation adjustment group
Output value:
Read character string (16 characters max.)
Other:
Read function for joined characters and ability to specify character
strings for judgment
5 max. (equipped with OCR−A and OCR−B fonts)
40 characters max. (36 alphanumeric characters and 4 symbols) per dictionary
3 patterns max. per character
16 per type
Character quality inspection using matching, subtraction and labeling.
(Supports up to ±30 degrees rotation for each character.)
Character/Pattern detection selection method:
Character:
Possible to inspect up to a maximum of 30 characters.
Auto pattern registration function that uses an original character segmentation function.
It is possible to set so that only character edges are masked during pattern registration.
Pattern:
Patterns can be registered without character segmentation.
Output:
Number of detections, Detection position, Maximum differential, Number of differ-
entials, and Correlation value for each character.
Judgment: OK/NG for whole characters and individual characters.
4 per type
Includes a subtraction processing function that operates after detection matching
Sub−pixel accuracy multiple detection matching by gray scale correlation processing
Rotation by raster detection and raster detection position ( 30 degrees)
Output: number of detected items, correlation values, detection position and angle, teaching
registration changes possible from external source
Judgment learning function via smart template
32 per type
Detection at gray sub−pixel unit
Area specification: Line or rectangle
Scan method:
Single, gray filter/width
Detection position: Dual edge detection
Output:
Number of leads
Judgment:
Number of leads, pitch, width, and overall judgment
32 per type
Detection at gray sub−pixel units
Area specification: Line or rectangle
Scan method:
Single/projection, gray filter/width
Detection position: Edge, front edge and rear edge, maximum differential value, or multiple
edge (256 max.)
Output:
Detected edge coordinates, number of detections
Judgment:
Number of detections
32 per type
Area:
Rectangle, polygon (3 to 16 points), circle or oval
Mask area:
None, rectangle, polygon (3 to 16 points), circle or oval
Output value: Gray scale mean value
20.1
Specifications
20 − 3
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