التفاصيل البيبلوغرافية
| العنوان: |
COMPUTER VISION BASED ON RASPBERRY PI SYSTEM |
| المؤلفون: |
ABDULHAMID, Mohanad, ODONDI, Otieno, AL-RAWI, Muaayed |
| المصدر: |
Applied Computer Science; Vol. 16 No. 4 (2020); 85-102 ; Applied Computer Science; Tom 16 Nr 4 (2020); 85-102 ; 2353-6977 |
| بيانات النشر: |
Lublin University of Technology / Polish Association for Knowledge Promotion |
| سنة النشر: |
2020 |
| المجموعة: |
Lublin University of Technology Journals |
| مصطلحات موضوعية: |
Computer vision, Raspberry Pi system |
| الوصف: |
The paper focused on designing and developing a Raspberry Pi based system employing a camera which is able to detect and count objects within a target area. Python was the programming language of choice for this work. This is because it is a very powerful language, and it is compatible with the Pi. Besides, it lends itself to rapid application development and there are online communities that program Raspberry Pi computer using python. The results show that the implemented system was able to detect different kinds of objects in a given image. The number of objects were also generated displayed by the system. Also the results show an average efficiency of 90.206% was determined. The system is therefore seen to be highly reliable. |
| نوع الوثيقة: |
article in journal/newspaper |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| Relation: |
https://ph.pollub.pl/index.php/acs/article/view/3174/2883; https://ph.pollub.pl/index.php/acs/article/view/3174 |
| الاتاحة: |
https://ph.pollub.pl/index.php/acs/article/view/3174 |
| Rights: |
https://creativecommons.org/licenses/by/4.0 |
| رقم الانضمام: |
edsbas.931E2A70 |
| قاعدة البيانات: |
BASE |