A Comparative Analysis of Cross-Validation Techniques for a Smart and Lean Pick-and-Place Solution with Deep Learning
As one of the core applications of computer vision, object detection has become more important in scenarios requiring high accuracy but with limited computational resources such as robotics and autonomous vehicles. Object detection using machine learning running on embedded device such as Raspberry...
Main Authors: | Elven Kee, Jun Jie Chong, Zi Jie Choong, Michael Lau |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-05-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/12/11/2371 |
Similar Items
-
Development of Smart and Lean Pick-and-Place System Using EfficientDet-Lite for Custom Dataset
by: Elven Kee, et al.
Published: (2023-10-01) -
Object Detection with Hyperparameter and Image Enhancement Optimisation for a Smart and Lean Pick-and-Place Solution
by: Elven Kee, et al.
Published: (2024-02-01) -
Analysing Edge Computing Devices for the Deployment of Embedded AI
by: Asier Garcia-Perez, et al.
Published: (2023-11-01) -
Custom Hardware Inference Accelerator for TensorFlow Lite for Microcontrollers
by: Erez Manor, et al.
Published: (2022-01-01) -
Rekayasa Perangkat Lunak Aplikasi Presensi Mobile Menggunakan Metode Deep Learning
by: Ragil Setiawan, et al.
Published: (2023-12-01)