Comparative analysis of various feature descriptors for efficient ATM surveillance framework

Sanserwal, Vishal; Tripathi, Vikas; Chen, Zhiqian; Pandey, Monika

doi:10.1109/ccaa.2017.8229860

Cited by 6 publications

(1 citation statement)

References 18 publications

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“…Although photos taken are sharpened for better identification, it highly depends on the suspect's appearance towards the Camera. The use of gradient-based descriptors and shape-based descriptors (Hu moments) provides comparative analysis for abnormal activity detection (Sanserwal et al 2017).…”

Section: Introductionmentioning

confidence: 99%

A novel design and implementation of IoT based real-time ATM surveillance and security system

Gavaskar¹,

Ragupathy²,

Elango³

et al. 2021

Adv. in Comp. Int.

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Security and safety are a necessity for automated teller machines (ATM). The ATM security system is implemented using the Internet of things (IoT) and GPS (global positioning system). The main idea of this project is to develop an ATM surveillance and security system. In this project, when any physical attack against the ATM takes place, then information about the attack is sent using IoT and also alerts the surrounding area using a buzzer, at the same time the entire data from the sensors is sent to the developed mobile application and puts alert message to the bank officials. The officials who have control over the mobile application can control the Door through their mobile to lock from their location remotely. To prevent the escape of the thief chloroform connected to the controller through relay can also be sprayed inside the ATM by the officials remotely from their place using the mobile app. The Camera (ESP32) is used for live video coverage and to monitor the activity inside the ATM. The Camera will not only record the activity but also, transmit will live video taken inside the ATM and the ATM location as latitude and longitude are tracked using GPS. The system is connected to the Blynk mobile application. The sensor and GPS data are read by the microcontroller and these data are sent to the Blynk application. With the help of the Blynk application, the official who has access to it can control the relays and the respective devices connected to the relay to turn it ON or OFF. It can be used in many real-time applications such as banks, homes, and industries.

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Section: Introductionmentioning

confidence: 99%