Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Force Classification01:22

Force Classification

1.8K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
1.8K
Classification of Systems-II01:31

Classification of Systems-II

253
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
253
Classification of Systems-I01:26

Classification of Systems-I

350
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
350
Methods of Classification and Identification01:28

Methods of Classification and Identification

297
Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
297
Light Acquisition02:16

Light Acquisition

8.7K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
8.7K
Detection of Black Holes01:10

Detection of Black Holes

2.3K
Although black holes were theoretically postulated in the 1920s, they remained outside the domain of observational astronomy until the 1970s.
Their closest cousins are neutron stars, which are composed almost entirely of neutrons packed against each other, making them extremely dense. A neutron star has the same mass as the Sun but its diameter is only a few kilometers. Therefore, the escape velocity from their surface is close to the speed of light.
Not until the 1960s, when the first neutron...
2.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Enhanced bioavailability of a novel double-layered nano-liposomal curcumin (BNT-C060): a randomized, double-blind, clinical trial.

Scientific reports·2026
Same author

Preoperative Predictors of Subsequent Breast Cancer Events Detected on Abbreviated MRI in Patients with Early-Stage Breast Cancer.

Diagnostics (Basel, Switzerland)·2025
Same author

[Surveillance Report of Imported SARS-CoV-2 Variants at Incheon International Airport and Incheon Port (February 15, 2021-March 2023)].

Jugan geon-gang gwa jilbyeong·2025
Same author

[Surveillance and Outbreak Status of SARS-CoV-2 Originated from China].

Jugan geon-gang gwa jilbyeong·2025
Same author

Development and evaluation of a hybrid capture-based NGS panel for comprehensive detection of respiratory pathogens.

Scientific reports·2025
Same author

Oncogenic DEAD-box ATPase DDX41 establishes transcript ensembles via CLK3-dependent and -independent mechanisms.

Nature communications·2025

Related Experiment Video

Updated: Oct 3, 2025

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.8K

An All-in-One Vehicle Type and License Plate Recognition System Using YOLOv4.

Se-Ho Park1, Saet-Byeol Yu1, Jeong-Ah Kim1

  • 1Contents Convergence Research Center, Korea Electronics Technology Institute, Mapo-gu, Seoul 03924, Korea.

Sensors (Basel, Switzerland)
|February 15, 2022
PubMed
Summary

This study introduces an advanced vehicle and license plate recognition system for smart cities. The deep learning model accurately identifies Korean vehicles and license plates, even small ones in high-resolution images.

Keywords:
YOLOv4license plate detectionlicense plate recognitionmake and model recognitionvehicle type detection

More Related Videos

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
05:41

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

Published on: February 6, 2020

9.5K
Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.1K

Related Experiment Videos

Last Updated: Oct 3, 2025

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.8K
A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
05:41

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

Published on: February 6, 2020

9.5K
Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.1K

Area of Science:

  • Computer Vision
  • Artificial Intelligence
  • Embedded Systems

Background:

  • Deep learning on embedded platforms is crucial for smart surveillance and urban mobility.
  • Accurate data collection tailored to deployment locations is essential for effective target identification.
  • Existing systems require enhancement for specific contexts like Korean vehicles in diverse traffic environments.

Purpose of the Study:

  • To propose an integrated system for vehicle type and license plate recognition tailored for Korean traffic scenarios.
  • To enhance the accuracy and efficiency of detecting vehicles and their license plates in multilane highways and urban settings.
  • To address the need for high visual sensitivity in smart city applications.

Main Methods:

  • Development of a system using YOLOv4 for integrated vehicle type detection, license plate detection, and character recognition.
  • Utilizing a custom dataset of multilane highway and urban images featuring Korean vehicles.
  • Testing the system's performance on both proprietary and publicly available datasets.

Main Results:

  • Achieved high mean Average Precision (mAP) scores: 98.0% for vehicle type, 94.0% for license plate detection, 97.1% for character recognition, and 84.6% on a custom dataset.
  • Demonstrated superior performance on license plate detection with mAP of 99.3% on the custom dataset and 99.4% on an open dataset.
  • Successfully detected minuscule license plates (as small as 100 pixels wide) from 4K high-resolution images.

Conclusions:

  • The proposed integrated system effectively recognizes Korean vehicle types and license plates in complex traffic conditions.
  • The system's ability to detect small license plates in high-resolution imagery enhances its utility for smart city applications.
  • This technology offers a valuable solution for densely populated areas requiring advanced visual surveillance and data collection for the Internet of Things.