| Autor: |
Muhammad Ashar, Zargham Khan, Sitwat Ashraf, Engr. Dur-e-Shawar Agha, Muhammad Usama |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
2020 International Conference on Information Science and Communication Technology (ICISCT). |
| DOI: |
10.1109/icisct49550.2020.9080049 |
| Popis: |
As technology has brought a drastic change in the lives of human and adaptions to these technologies has risen to the peak, as we all are familiar with the concept of object detection which has brought an extraordinary ease in many of the fields of computer as well as in industry. Many of the researches are being done on it and still in process but it is not implemented for the purpose of industrial safety. Therefore, being embolden by the idea of object detection we have introduced our idea comparable to it known as ‘Safeguard Identification’, a model designed for safety purpose of the employees working in an industry where safety is a fundamental approach. Our model comprises of a camera which is trained for image classification and object detection from a Custom model using Tensorflow Object Detection API. For our project we have used MySql database for maintaining the data of workers. Future upgrades may lead this project by generating safety alerts on the phones of the individuals or by adding more features like detecting workers smoking in a prohibited area. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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