SE42_Activity Recognition In Industry 4.0

dc.contributor.authorMuhammad Kashif , Muhammad Zubair , Anas Abdullah
dc.contributor.authorFA17-BSE-155 , FA17-BSE-096 , FA17-BSE-123
dc.contributor.authorDr. Wajahat Mahmood Qazi
dc.contributor.authorLHR TP 7036
dc.date.accessioned2026-02-19T06:38:32Z
dc.date.issued2021
dc.description.abstractIndustry 4.0 is known as the fourth industrial revolution in which advanced technology like the internet of things, data analytics are used to make the industry more efficient. Industry 4.0 refers to such industrial units that are integrated and find the hidden pattern from the industry data to make it more reliable and reduce the possibility of error. With the quick growth in digital technologies, most development and research domains are entailed in the human activity recognition system. The activity recognition system will help the industry to automate the monitoring system and help the industry to analyse the performance of the employees. The activity recognition system can also allow the industry to find the hidden patterns from the activities of employees. These hidden patterns will help the industry to train its employees well and prevent their employees to do mistakes. The proposed system will supervise and monitor human activities in production and inspection processes in the Industries I-e Textile Industry. Like if a person is inspecting a product during the inspection system will check whether the person is following standards of inspection or not. The system is designed in a way that the managers or officials will be able to watch the results of activities recognized by the system on their smart devices. There are 4 actors Admin, supervisor and employee who will interact with the system. The system will be work in such a way that a Jetson device will be integrated with already installed security CCTV cameras in such a way that Jetson Units will continuously recognize human activities and sent results to the Server. The server will decide the action, and then send alerts to Supervisor, and admin. The trained model is deployed in Jetson Unit. The managerial (Admin) officials will be notified automatically if any violation is recorded by the system. Admin/supervisor will be able to take action on misconduct.
dc.identifier.urihttps://repository.cuilahore.edu.pk/handle/123456789/1934
dc.language.isoen
dc.publisherLibrary Information Services, COMSATS University Islamabad, Lahore Campus
dc.relation.ispartofseriesLHR TP 7036
dc.subjectTECHNOLOGY::Information technology::Computer science
dc.subjectDr. Wajahat Mahmood Qazi
dc.titleSE42_Activity Recognition In Industry 4.0
dc.typeThesis

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