Secure Payment Terminal

Inspiration

Credit card hacking is a serious issue that affects millions of people around the world every year. Hackers can use a variety of methods to gain access to credit card information, including phishing scams, malware attacks, and physical theft. Once they have this information, they can use it to make fraudulent purchases, sell it to other criminals, or use it to access other personal information. There are several ways that individuals can protect themselves from credit card hacking.

What it does

One way to protect against credit card hacking is to use a credit card with added security features, such as a chip or a virtual card number. These features make it more difficult for hackers to access and use credit card information. However, this does not prevent theft from stealing the card and making physical fraudulent purchases. One of the solutions my team has come up with is AI Face recognition when making a physical transaction. This AI recognition will include facial recognition or fingerprint (The customer’s choice) to increase security making the user feel much safer and preventing theft from making fraudulent purchases.

How we built it

My team will implement a camera or a fingerprint on the payment terminal where we will capture the user’s face or fingerprint. In the case where a thief uses the card to make a transaction, the AI system will recognise that it is not the owner of the physical card and will alert both the cashier and the bank indicating that there may be a fraudulent purchase at the store. The owner will be informed followed by freezing the card.

Challenges we ran into

While brainstorming, we ran into many challenges like how user-friendly the AI system was, what issues we will face when implementing this system (How fast the facial recognition will process, how will the fingerprint system be implemented ETC.) We also had to see if the idea was feasible or not as we do not want to cause too much of a hassle to both users.

Accomplishments that we're proud of

Though it was tough at first, all ideas were taken into consideration and all of us were able to accept criticism. This way we are able to learn from each other's point of view which makes us a team. As one says, you can have the best product in the world but if your management is poor, there will be no success but only failure. Learning machine language is tough for the three of us as we are complete beginners, however we did not let that stop us from learning and we can proudly say that we overcame the obstacle.

What we learned

We learn how to communicate effectively as a team and learn from each other's strengths and weaknesses. Through this process, we learn the importance of teamwork. Although we are complete beginners to machine language, we were able to learn quickly and effectively in machine language and came up with a solution to today’s modern world problem. Teamwork is what makes a group successful.

What's next for Secure Payment Terminal

Secure Payment Terminal features will be moved online and on Automated Teller Machine. The owner's mobile gadget location must match the card usage location. Machine Learning will be used to track usual purchases and then alert if a sudden change in spending is detected. The inbuilt device security functions like a fingerprint, face recognition or password will be activated. If any fails a prompt will be sent to the user's banking app to verify.