Human Activity Recognition (HAR) is one of the most effective research areas for computer visualization and computer communication. However, it remains a very difficult task, due to irreversible challenges such as sensory movement, sensory implants, congested backgrounds, and biological diversity in
Mobile Phone Detection System in Atomic Defense Area
Human Activity Recognition (HAR) is one of the most effective research areas for computer visualization and computer communication. However, it remains a very difficult task, due to irreversible challenges such as sensory movement, sensory implants, congested backgrounds, and biological diversity in the activities performed by different people. . HAR is widely used to monitor the activities of older persons living in rehabilitation and disease prevention centers. HAR is also integrated into smart homes to track the daily activities of older people.
HAR has been widely used in sports such as full-blown gymnastics for adults and adults with emotional injuries. With HAR, the touch of the human body can be seen teaching a machine to complete dedicated tasks.
The main objectives of the development of the Mobile Phone Detection in Atomic Defense Area are:
Understand the various models and strategies of Mobile Phone Detection in Atomic Defense Area based on research papers.
See various person activities from webcam, video and photo data.
Provide an inexpensive and fast person performance plan.
Provide a Mobile Phone Detection Monitoring system that can be integrated into various real-time programs such as surveillance etc.
Changing the job recognition process from a webcam, video or photo stream.
In this project, we will detect a mobile user persons who are using mobile in a defense area where mobile is not allowed.So for detecting persons we have to take a CCTV camera which will detect persons and when the camera detects the persons there is buzzer alarm which will start alarming.
Mobile Phone Detection in Atomic Defense Areais a software application we will develop using the latest technology of deep learning.
This software application system will detect the activities of persons in Atomic Defense Area using image, videos and web camera. If anyone is using mobile phone the system will detect and capture the picture of that individual person and store in the database and start alarm. Mobile Phone Detection System in Atomic Defense Area is done through using the libraries of machine learning and deep learning Tensor Flow, Numpy etc and computer vision OpenCV and many other AI based libraries are used.
The system is developed keeping in mind the complication for the person in front of the camera that he easily check that what’s happening in the area.
Atomic defense area is very confidential and secret place, all the secret and confidential files and information is being saved there where the security is the main concern and these security concern can be destroyed only by availability of just a smartphone. Atomic defense area should take steps very carefully and if not then consequences would be unbearable. The most dangerous device is smartphone in which image, audio, video, etc. are captured and transmitted and receive messages, audio etc. By only miner info leak is meant as destruction or attack on defense of Atomic defence area virtually or physically.
To overcome this we are developing a software name “Mobile phone detection in Atomic area “. This software will be able to detect the activities of every individual person in that area by using different algorithm of machine learning. If any person uses mobile then the system will alert though alarm.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| CCTV Camera | Equipment | 1 | 30000 | 30000 |
| Alarm | Equipment | 1 | 30000 | 30000 |
| DataSet Collection | Miscellaneous | 1 | 10000 | 10000 |
| Total in (Rs) | 70000 |
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