Enhanced Occupational Safety in Agricultural Machinery Factories: Artificial Intelligence-Driven Helmet Detection Using Transfer Learning and Majority Voting
The objective of this study was to develop an artificial intelligence (AI)-driven model for the detection of helmet usage among workers in tractor and agricultural machinery factories with the aim of enhancing occupational safety. A transfer learning approach was employed, utilizing nine pre-trained...
Saved in:
| Main Authors: | Simge Özüağ, Ömer Ertuğrul |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/14/23/11278 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
- The Operation ,Care and Repair of Farm Machinery/
-
Notes on Iterative Summation of Alternating Factorials
by: Vladimir Kanovei, et al.
Published: (2025-06-01) -
Farm power and machinery management /
by: Hunt, Donnell
Published: (2016) -
A Textbook of Farm Machinery and Power Engineering /
by: Basavaraj
Published: (2019) -
Informational Support for Agricultural Machinery Management in Field Crop Cultivation
by: Chavdar Z. Vezirov, et al.
Published: (2025-06-01)