Sinkron : Jurnal dan Penelitian Teknik Informatika
Vol 4 No 1 (2019): SinkrOn Volume 4 Number 1, October 2019

Comparison Of Cellular Video Quality For Object Detection Using Neural Network Convolution

Kevin, Kevin (Unknown)
Gunawan, Nico (Unknown)
Zagoto, Mariana Erfan Kristiani (Unknown)
Laurentius, Laurentius (Unknown)
Husein, Amir Mahmud (Unknown)



Article Info

Publish Date
30 Oct 2019

Abstract

Abstract— The purpose of this study is to compare the video quality between the Samsung HP camera and the Xiaomi HP camera. The object of study was UNPRI students who walked through the front yard of the UNPRI SEKIP campus. Here we test how accurate the camera's HP capture capacity is used to take the video. The method used to test this research is the Convolution Neural Network method. Object detection and recognition aim to detect and classify objects that can be applied to various fields such as face, human, pedestrian, vehicle detection (Pedoeem & Huang, 2018), besides the ability to find, identify, track and stabilize objects in various poses and important backgrounds in many real-time video applications. Object detection, tracking, alignment and stabilization have become very interesting fields of research in the vision and recognition of computer patterns due to the challenging nature of several slightly different objects such as object detection, where the algorithm must be precise enough to identify, track and center an object from the others

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Journal Info

Abbrev

sinkron

Publisher

Subject

Computer Science & IT

Description

Scope of SinkrOns Scientific Discussion 1. Machine Learning 2. Cryptography 3. Steganography 4. Digital Image Processing 5. Networking 6. Security 7. Algorithm and Programming 8. Computer Vision 9. Troubleshooting 10. Internet and E-Commerce 11. Artificial Intelligence 12. Data Mining 13. Artificial ...