Face Recognition Based New Generation ATM Machine

Kumar, D. Arun; Iniyan, B.; Askar, M. Ahamed; Ajay, Adheen; Ambika, R.

doi:10.1109/icaccs.2019.8728317

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…However, the results were not accurate enough, and they ran into difficulties when something changed in the person's expression, and the accuracy rate is also proved to be insufficient. Kumar et al the work in [4] has presented the Arduino ATM security system based on Haar's algorithm to recognize the face of the bank's customers. Still, they found that it needed more expansion and better implementation to produce an accurate result.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Automated Teller Machine Authentication Using Biometric

Aljuaid¹,

Ansari²

2022

Computer Systems Science and Engineering

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Section: Literature Reviewmentioning

confidence: 99%

“…13A respectively. [3] Face only 67% Method [4] Face only 95% Method [5] Face & Fingerprints only 70% Method [6] Face only 76%, 96% Method [7] Face only 72.24% Method [28] Face only 96% Method [29] Finger only 94%…”

Section: Cnn Classificationmentioning

confidence: 99%

Automated Teller Machine Authentication Using Biometric

Aljuaid¹,

Ansari²

2022

Computer Systems Science and Engineering

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“…First, the field of RL has attracted the attention of numerous scholars [4][5][6][7] and has achieved beneficial research results. Second, used ATMs can be upgraded and modified, such as adding facial [8], finger vein [9], iris and other biometric recognition functions to ATMs, or remanufacturing their internal function modules for recycling. At present, taking most cities in China as an example, banks directly return idle or outdated ATMs to manufacturers for harmless treatment, or use commercial bidding to deal with them through a third party.…”

Section: Introductionmentioning

confidence: 99%

Reverse Logistics Network Design and Simulation for Automatic Teller Machines Based on Carbon Emission and Economic Benefits: A Study of the Anhui Province ATMs Industry

2021

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In recent years, mobile payments have gradually replaced cash payments, resulting in a gradual decline in the number of automatic teller machines (ATMs) demanded by banks. Through investigation and analysis, we determine four means to deal with decommissioned ATMs, and construct thereafter an ATM reverse logistics (RL_ATMs) network model, which includes suppliers, producers, warehouses, operators, maintenance centers, collection and inspection centers, disposal centers, remanufacturing centers, and recycling centers. This model is further expressed as a mixed integer linear programming (MILP) model. Given that an ATM recycling network has planned and batched characteristics, a percentage diversion method is proposed to transform a real multi-cycle problem to a single-cycle problem. The RL_ATMs network constructed in this study presents the two forms of ATMs, functional modules and the entire machine. We used the actual situations of the related companies and enterprises in Anhui Province and its surrounding areas, as well as major banks’ ATMs, as bases in using the LINGO software to solve the proposed MILP model with the objective function of minimizing costs and environmental emissions, and obtain the relevant companies’ launch operations. Lastly, we analyzed the relationship between coefficients in the percentage diversion method and calculation results, cost, and carbon emissions. Accordingly, we find that the number of remanufacturing and maintenance centers has no evident impact on the objective function, transportation costs account for a large proportion of the total cost, and emissions tax is small.

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