Convolutional Neural Network Approach and Implementation Sensor Design for Detecting Object. Issue 1 (1st December 2022)
- Record Type:
- Journal Article
- Title:
- Convolutional Neural Network Approach and Implementation Sensor Design for Detecting Object. Issue 1 (1st December 2022)
- Main Title:
- Convolutional Neural Network Approach and Implementation Sensor Design for Detecting Object
- Authors:
- Suherman,
Lucky Trasya, S
Ihsan, M. Ari
Ali Hanafiah, R
Al-Akaidi, Marwan - Abstract:
- Abstract: This research offered sensor design for detecting animal for any applications uses convolutional neural network within JeVois smart camera. The camera is connected to communication processor through serial connection. By using 900 images for training, the sensor has been able to detect the intended animal presence and send the result to end node. The acuracy achieves 95 %, with 90.91% precision, recall 100% and F score of 95.24 %. Even dough the power consumption increases from 2.2 W to 4.08 W, the detection is potentially reduces number of the transmitter images.
- Is Part Of:
- Journal of physics. Volume 2394 Issue 1(2022)
- Journal:
- Journal of physics
- Issue:
- Volume 2394 Issue 1(2022)
- Issue Display:
- Volume 2394, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 2394
- Issue:
- 1
- Issue Sort Value:
- 2022-2394-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-12-01
- Subjects:
- Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/2394/1/012036 ↗
- Languages:
- English
- ISSNs:
- 1742-6588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.223000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24766.xml