Development of a Low Cost Car Over Speed Checking System Using Rfid Tag

Agbo, David O.; Madukwe, Chinaza A.; Shittu, Dodo H.

doi:10.29322/ijsrp.8.6.2018.p7863

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2023

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“…Artificial intelligence-based home security systems employed the following approaches: password authentication, facial recognition (Gawande et al, 2017), fingerprint recognition, Radio Frequency Identification (RFID) (Srinivasa et al, 2013), Bluetooth based system (Lia et al, 2014) and GSM-based (Donatus and Akaiso, 2013;Jayashri and Arvind, 2013) and androidbased (Agbo et al 2017). Although, these systems were able to solve the problems with conventional approach but there are some drawbacks.…”

Section: Introductionmentioning

confidence: 99%

An automatic door lock security system based on convolutional neural network

Esan,

Okomba,

Sobowale

et al. 2023

dujopas

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Door lock security is important because it prevents intruders or unauthorized individuals from entering our homes or offices. Previous door lock security systems based on password, radio frequency identification and facial recognition are unreliable. Therefore, this project developed an automatic door lock security system using Convolutional Neural Network. Fifty faces of home owners were captured and trained using CNN. The system was tested at different distances and lightning condition and evaluated using accuracy, precision and f1 score. Results show that the developed system is 91.67% accurate. However, it is recommended that future work considers increasing dataset for model training to obtain more accurate results.

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Section: Introductionmentioning

confidence: 99%