Evidence map›Paper›PMID 42120936›Full record

ArticleScientific reports2026

AI-enabled smart surveillance system for secure monitoring and authentication.

Farida A Ali, Sabita Mali, Rina Mahakud, Gaurav Yadav

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Farida A AliFaculty of Engineering and Technology, ITER, Siksha 'O' Anusandhan (Deemed to Be) University, Khandagiri, Bhubaneswar, 751030, India.
Sabita Mali *Faculty of Engineering and Technology, ITER, Siksha 'O' Anusandhan (Deemed to Be) University, Khandagiri, Bhubaneswar, 751030, India.
Rina MahakudFaculty of Engineering and Technology, ITER, Siksha 'O' Anusandhan (Deemed to Be) University, Khandagiri, Bhubaneswar, 751030, India.
Gaurav Yadav *Faculty of Engineering and Technology, ITER, Siksha 'O' Anusandhan (Deemed to Be) University, Khandagiri, Bhubaneswar, 751030, India. gauravyadav@soa.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The proposed Smart Surveillance System presents a novel, hardware-integrated prototype demonstration aimed The proposed Smart Surveillance System presents a groundbreaking hardware-integrated prototype that decisively validates the effectiveness of a dual-branch anti-spoofing model on the low-power edge device, Raspberry Pi 3B+. This prototype goes beyond algorithmic performance research, showcasing a fully functional proof of concept. In contrast to existing surveillance solutions that typically rely on centralized cloud processing or basic recognition systems, our system employs an advanced dual-branch model that utilizes both spatial and frequency-domain features. This approach enables real-time anti-spoofing with an impressive error rate of less than 2%. What truly sets our system apart is its seamless end-to-end integration of cloud-based authentication, edge-level inference for rapid response, and an interactive live video conferencing feature. This configuration empowers immediate verification and action during potential spoofing events. With IoT-enabled devices, our system ensures effortless communication for live streaming, automated alerts, and scalable cloud data management. Coupled with edge computing, it guarantees real-time decision-making with minimal latency. Experimental results confirm its high accuracy in distinguishing genuine users from spoofing attempts, positioning our solution as a lightweight, proactive, and user-interactive surveillance option that is perfectly suited for homes, enterprises, and public infrastructures.

Indexed as

Anti-spoofingCloud securityEdge computingFacial recognitionIoT surveillanceReal-time monitoring

Identifiers

PMID42120936
PMCPMC13358116

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.