S.O.S by Omar Díaz

Description: It is a RC toy car controlled by a Backpropagation Neural
             Network installed in a standard personal computer. The car
             has built on it a little system which main task is to 
             measure distances from objects around the car.  This 
             measuresments are done by a Polaroid 6500 Series Sonar 
             Ranging Module and sent back to the computer by a RF 
             transmitter. The information transmitted to the computer
             is introduced by the parallel port and used as the inputs
             to the neural network tutor.  The outputs or decisions 
             made by the net represent the orientation which the car
             has to turn to, and is transmitted through the parallel 
             port to the car with the original remote control brought 
             by the toy.

Functions:   This is a self-oriented system capable of learn about 
             diferent environments.

Parts Used: *6500 Sonar Ranging Module             
            *RF Transmitter 310MHz AM
            *Remote Controlled Toy Car
            *Steper Motor 5VDC, 220mA
            *Motor Controller MC3479P
            *Multiples TTL Gates.

Problems:   To optimize its performance a better RF system can be 

Time:       8 Months.

Cost:       Around $600.00 American Dollars

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