The system classifies images of numbers from 0 to 7 using the 16 most significant pixels The system´s input or features are the 16 most significant pixels of an 8x8 image with a number from 0 to 7. The output is shown in the 7 segments display.
In order to emulate an image in the input, the features must be set to one or zero according to the number of the image Example of the image of a zero: feature_10=0 feature_13=1 feature_18=0 feature_19=1 feature_20=0 feature_21=0 feature_26=0 feature_27=1 feature_28=0 feature_34=0 feature_36=0 feature_42=0 feature_43=1 feature_45=0 feature_60=0 feature_61=1
N.A
| # | Input | Output | Bidirectional |
|---|---|---|---|
| 0 | feature_10 = ui_in[0]; | segment a | feature_28 = uio_in[0]; |
| 1 | feature_13 = ui_in[1]; | segment b | feature_34 = uio_in[1]; |
| 2 | feature_18 = ui_in[2]; | segment c | feature_36 = uio_in[2]; |
| 3 | feature_19 = ui_in[3]; | segment d | feature_42 = uio_in[3]; |
| 4 | feature_20 = ui_in[4]; | segment e | feature_43 = uio_in[4]; |
| 5 | feature_21 = ui_in[5]; | segment f | feature_45 = uio_in[5]; |
| 6 | feature_26 = ui_in[6]; | segment g | feature_60 = uio_in[6]; |
| 7 | feature_27 = ui_in[7]; | dot | feature_61 = uio_in[7]; |