Paper PublishingIntruder detection in Queue
Objective
The aim of this project is to introduce a new smartphone-equipped Android application for assistance via the camera: in particular, the lane detection part will be covered. Using computer vision algorithms generated ad-hoc for the task; the application must be able to position, in the most practical way, people should maintain a straight line in any event and should stand within the line. This helps the administrator of the event to control the queue and can see that no fights occurs in event, this can be fueled by Deep Learning algorithms.
Abstract
In this project, we describe how to control events and detect the intruders in the queues of the event. Lane tracks are provided in real time by the baseline video surveillance system. Given trajectory information, the event analysis module will attempt to determine whether or not a presence of intruder is currently being observed. However, due to real-time processing constrains, there might be false alarms generated by video image noise or non-human objects. It requires further intensive examination to filter out false event detections which can be processed in an off-line fashion.
We propose a system to detects the intruders in the queues by analyzing video surveillance. In low level task, a trajectory-based method processes trajectory data and detects intruder events in real time. In high level task, an intensive video analysis algorithm checks whether the detected intruder event is triggered or not.
Keywords: Coma Patient Tracker, Trace Movements, Activity Detection.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
SOFTWARE SPECIFICATIONS
- Operating System: Windows and Android
- SDK IDE: Android Studio 3.3
- Virtual Emulator: Nexus Pixel 2
- Programming Language: Java
- Front End: Xml
- Server scripting Language: PHP
- Database: MySQL
HARDWARE SPECIFICATIONS
- CPU type: Intel i7
- Ram size: 16 GB
- Hard disk capacity:1TB
- Monitor type: 15 Inch color monitor
- Keyboard type: Internet keyboard
- Mobile: Android
Learning Outcomes
- About Android Studio.
- Android architecture.
- Basic about java.
- Basic about MySQL.
- Knowledge about server-side programming.
- Difference between client side and server-side programming language.
- Knowledge about server.
- Knowledge about database and queries.
- Knowledge about API.
- How to communicate with API.
- How API Communicate with Server.
- What are Packages and dependencies regarding the app?
- What are various versions of android app and android operating system.
- About Android studio.
- Client-side validation.
- Server-side validation.
- Difference between client-side validations.
- Different Debugging Technique’s.
- Deployment of app.
- About play store deployment.
- What is manifest?
- About XML.
- Widgets in android.
- Views in android.
- Layouts in android.
- How to design the user Interface.
- About activities.
- About Different types of Buttons.
- About Video Streaming.
- Project Development Skills:
- Problem analyzing skills.
- Problem solving skills.
- Creativity and imaginary skills.
- Programming skills.
- Deployment.
- Testing skills.
- Debugging skills.
- Project presentation skills.
- Thesis writing skills.
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Disclaimer - Takeoff Edu Group Projects, are not associated or affiliated with IEEE, in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, and not projects of or by IEEE.
