[HTML][HTML] Domain-Specific On-Device Object Detection Method

S Kang, J Hwang, K Chung - Entropy, 2022 - mdpi.com
Object detection is a significant activity in computer vision, and various approaches have
been proposed to detect varied objects using deep neural networks (DNNs). However …

Deep Learning–Enabled Smart Safety Precautions and Measures in Public Gathering Places for COVID‐19 Using IoT

KS Pradeep, R Pushpakumar… - … Learning Paradigm for …, 2022 - Wiley Online Library
The security dimensions of public gathering cannot be breached and periodic reporting is
compulsory in most public gathering places. The Internet of Things (IoT) serving for human …

Object Detection Based Management System of Solid Waste Using Artificial Intelligence Techniques

TA Chowdhury, NJ Sinthiya… - 2022 IEEE 13th …, 2022 - ieeexplore.ieee.org
Object detection-based waste management system remains a challenge for Bangladesh
because of the inadequate diversity of data. Solid waste management is a grave concern for …

[PDF][PDF] Deep Consensus Network for Recycling Waste Detection in Smart Cities.

MA Hamza, HA Mengash, N Negm… - … Materials & Continua, 2023 - cdn.techscience.cn
Recently, urbanization becomes a major concern for developing as well as developed
countries. Owing to the increased urbanization, one of the important challenging issues in …

[HTML][HTML] AquaVision: Automating the detection of waste in water bodies using deep transfer learning

H Panwar, PK Gupta, MK Siddiqui… - Case Studies in …, 2020 - Elsevier
Water pollution is one of the serious threats in the society. More than 8 million tons of plastic
are dumped in the oceans each year. In addition to that beaches are littered by tourists and …

Telecommunication Fiber Box Detection Using YOLO in Urban Environment.

AJ Azmawi, WN Mohd-Isa… - International Journal on …, 2023 - search.ebscohost.com
Abstract The Fiber Distribution Panel (FDP) box is an essential piece of internet access
hardware because it provides users with highspeed data networking and functions as a …

Enhanced smart waste management system with incinerator compartment

P Leninpugalhanthi, G Bharanidaran… - 2021 7th …, 2021 - ieeexplore.ieee.org
As of now we are in the 21 st century, where we find many technologies ruling the world, and
the Internet of Things is one among them which can be defined as an intelligent node that …

[HTML][HTML] An Enhanced Deep Learning Model for Obstacle and Traffic Light Detection Based on YOLOv5

Z Li, W Zhang, X Yang - Electronics, 2023 - mdpi.com
Timely detection of dynamic and static obstacles and accurate identification of signal lights
using image processing techniques is one of the key technologies for guidance robots and …

WasteDet: An Anchor Free Novel Detection Algorithm for improving Waste Management

R Tiwari, AK Dubey - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Noteworthy steps are being taken towards improving the level of hygiene and cleanliness in
cities. Even with these efforts littering and non-recyclable waste is still a serious major issue …

Deep learning-based real-time object detection for empty-dish recycling robot

X Yue, H Li, M Shimizu, S Kawamura… - 2022 13th Asian …, 2022 - ieeexplore.ieee.org
The world is facing a shrinking workforce by the sagging birth rate and an aging population.
Robot techniques are one of the best solutions for taking place of humans and overcoming …