A comprehensive study towards high-level approaches for weapon detection using classical machine learning and deep learning methods

P Yadav, N Gupta, PK Sharma - Expert Systems with Applications, 2023 - Elsevier
Surveillance systems do not give a rapid response to deal with suspicious activities such as
armed robbery in public places. Consequently, there is a need for technology that can …

A systematic review of using machine learning and natural language processing in smart policing

P Sarzaeim, QH Mahmoud, A Azim, G Bauer, I Bowles - Computers, 2023 - mdpi.com
Smart policing refers to the use of advanced technologies such as artificial intelligence to
enhance policing activities in terms of crime prevention or crime reduction. Artificial …

Ancilia: Scalable intelligent video surveillance for the artificial intelligence of things

AD Pazho, C Neff, GA Noghre… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the advancement of vision-based artificial intelligence, the proliferation of the Internet of
Things connected cameras, and the increasing societal need for rapid and equitable …

Detection of pine wilt nematode from drone images using UAV

Z Sun, M Ibrayim, A Hamdulla - Sensors, 2022 - mdpi.com
Pine wilt nematode disease is a devastating forest disease that spreads rapidly. Using drone
remote sensing to monitor pine wilt nematode trees promptly is an effective way to control …

Integrating deep learning-based iot and fog computing with software-defined networking for detecting weapons in video surveillance systems

C Fathy, SN Saleh - Sensors, 2022 - mdpi.com
Due to the widespread proliferation of multimedia traffic resulting from Internet of Things
(IoT) applications and the increased use of remote multimedia-based applications, as a …

Development and optimization of deep learning models for weapon detection in surveillance videos

S Ahmed, MT Bhatti, MG Khan, B Lövström, M Shahid - Applied Sciences, 2022 - mdpi.com
Featured Application This work has applied computer vision and deep learning technology
to develop a real-time weapon detector system and tested it on different computing devices …

Systematic review on weapon detection in surveillance footage through deep learning

T Santos, H Oliveira, A Cunha - Computer Science Review, 2024 - Elsevier
In recent years, the number of crimes with weapons has grown on a large scale worldwide,
mainly in locations where enforcement is lacking or possessing weapons is legal. It is …

Carry Objects Detection utilizing mmWave Radar Sensor and Ensemble Based Extra Tree Classifier on the Edge Computing Systems

A Sonny, A Kumar, LR Cenkeramaddi - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Indoor human-carried object detection refers to the use of technologies and methods to
detect objects that may be carried by individuals in indoor environments. This can include …

Automatic tracking of objects using improvised Yolov3 algorithm and alarm human activities in case of anomalies

PH Kashika, RB Venkatapur - International Journal of Information …, 2022 - Springer
Detection of anomalies into surveillance recordings is gaining in its popularity. The term"
abnormal data" refers to data that deviates greatly from the data's typical behaviour. Fraud …

Learning to detect open carry and concealed object with 77 GHz radar

X Gao, H Liu, S Roy, G Xing… - IEEE journal of …, 2022 - ieeexplore.ieee.org
Detecting harmful carried objects plays a key role in intelligent surveillance systems and has
widespread applications, for example, in airport security. In this paper, we focus on the …