Opticon LG2 Series, Manual

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LG2 User’s Manual 25-ULG2MU01-02 - 4
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LG2 User’s Manual 25-ULG2MU01-02 - 5
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To read a symbol with the LG2:
1.
The LG2 features omnidirectional decoding. Center the symbol in any orientation within
the laser dot aiming pattern (figure 1.3).
Note:
The LG2 can read a symbol that is not centered however, the LG2 performs best
when a barcode is centered. If two (2) barcodes are with the imagers decode zone, the LG2
will decode the symbol closest to the center of the aiming dot.
2.
The LG2 was developed to decode both very small 2-dimensional barcodes and larger
1-dimensional barcodes. The unit features two imagers to create an innovative dual
decode zone. The LG2 features a high speed processor and
DECODES BOTH
ZONES SIMULTANEOUSLY . The unit has one imager focused on a near-field for
smaller barcodes (optimal focal point is 4 inches) and one imager focused on a far-field
for larger barcodes (optimal focal point 9 inches). To read smaller symbols move the LG2
closer to the symbol. To read larger barcodes move the unit farther away from the
barcode (see figure 1.4). The entire LG2 decode zone varies between two (2”) and
twenty (20+”) or more inches.
3. Hold the LG2 still -
DO NOT SWIPE OR MOVE THE READER.
Press the
trigger until the LG2 beeps, indicating the barcode has been successfully decoded.
4. The LG2 may be optimized to your specific environment by scanning barcodes in Chapter 3.
1.3 - Targeting and Reading Techniques (con’t)
Figure 1.3
1.4 - Imager Field of View & Resolution
The LG2’s dual field optical system may be modified based on your scanning environment. The LG2’s
megapixel imager may be set to the following two modes:
SXGA Mode: In standard SXGA mode (default), the 1.3 Million Pixel imager is divided into near field
and far field decode zones. In each zone the resolution is 1024 x 640 pixels (see figure 1.4). In
this mode of operation, the highest resolution, and therefore, widest working range on symbols of all
densities is achieved. The trade-off is the amount of time the reader spends processing the image.
This time can be reduced by optimization functions: