In this pandemic COVID-19, we all have to use the ATM machine to withdraw some money to sustain a life in this hard time.

After some time liquidity of money will finish and so we have to go to withdraw some money and so we come in contact with ATM which is very dangerous at this time and the possibility to come in contact with virus bodies is increase.

So for that reason, I have a solution in which we don’t have to come in contact with ATM and safe from that virus.

AIM: To be safe from VIRUS while withdrawing money from ATM

MATERIAL: husky lens, Leonardo Microcontroller

Uses of Material.

Husky Lens: HuskyLens is an easy-to-use AI vision sensor. It can learn to detect objects, faces, and colors just by clicking. The more it learns, the smarter it is. The adoption of the new generation AI chip allows HuskyLens to detect faces at 30 frames per second. HuskyLens can connect to Arduino, Raspberry Pi, LattePanda, or micro: bit, and make your very creative projects without playing with complex algorithms. 

all about the husky lens: https://youtu.be/Y2Qx8A8rk9k

This lens is used for face verification and gesture mode to enter the amount for withdraw

Leonardo Microcontroller:

The Arduino Leonardo is a microcontroller board based on the ATmega32u4. It has 20 digital input/output pins (of which 7 can be used as PWM outputs and 12 as analog inputs), a 16 MHz crystal oscillator, a micro USB connection, a power jack, an ICSP header, and a reset button. It contains everything needed to support the microcontroller; simply connect it to a computer with a USB cable or power it with an AC-to-DC adapter or battery to get started.

The Leonardo differs from all preceding boards in that the ATmega32u4 has built-in USB communication, eliminating the need for a secondary processor. This allows the Leonardo to appear to a connected computer as a mouse and keyboard, in addition to a virtual (CDC) serial / COM port. 

all about Leonardo:https://youtu.be/e_jSDE8fsC4

PROCEDURE

This how we can withdraw money without touching the ATM.

Thank you.

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