| Autor: |
Vaishnavi R. Mali, Anil Surve, V. R. Ghorpade |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Lecture Notes in Electrical Engineering ISBN: 9789811531248 |
| DOI: |
10.1007/978-981-15-3125-5_29 |
| Popis: |
Nowaday’s security is the main thing in all industries. The most serious thing facing the industries which provide financial services and the retail markets is ATM physical attack. The industry which provides financial services and the retail markets lose their lots of money due to physical attack. Today, however, ATMs give a considerable measure of administrations to the clients; they are still dominatingly utilized for their essential capacity of pulling back cash. ATM security is the main issue that has been addressed in the proposed work by studying current scenarios where the traditional way is to take actions after an attack has occurred. But using the CCTV cameras present in the ATM we can prevent these attacks from happening. We can take actions before an incident is going to happen. The proposed system is an attempt to analyze the human in the ATM with the various parameters mentioned in this paper and send alert to the respective entity utilizing IOT platforms if he/she found suspicious. So that actions can be taken before the loss. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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