Chicken Disease prediction

Virtually, Almost every bank around the world employs some form of video technology to enhance security of their Atm Machine?s, and increasingly for business intelligence to enhance operations and services. These systems help us to find and analyze the working mechanics of a place and employee or wo

Project Title

Chicken Disease prediction

Project Area of Specialization

Cyber Security

Project Summary

Virtually, Almost every bank around the world employs some form of video technology to enhance security of their Atm Machine’s, and increasingly for business intelligence to enhance operations and services. These systems help us to find and analyze the working mechanics of a place and employee or workers associated with the place too. So if any sort of anamoly or irregular pattern will be generated then the cameras and security system will be good enough to find them out first and then label them or declare them as suspicious or normal. This helps us to get one step more closer towards the advanced security technology being used and implemented by the systems and corporations.

The data set will be of 100 or more than 100 different Objects and person hiding their faces and entering the atm machine.

For example: A person enter atm carrying a gun. The camera will detect gun and will beep Alarm. These activities will train the Algorithm and Algorithm will be capable of differentiating between normal and dangerous objects and will also capture person hiding their faces.

Project Objectives

• To detect the Objects e.g weapons stealing tools in the video sequence.

• To detect more than one object in the video sequence and focus on the object and person with hidden face

• Analyze the Objects being carried by the human in the data source

• Camera tampering

• Will focus and take a clear image of the person with face covered and beep alarm

• To generate the real time ruling with a good accuracy number so that it can be used for real time analysis.

Project Implementation Method

Firstly, the scenario will be created according to the ATM machines and other banking anomalies. For this complete information will be gathered from the banks. On the basis of that information dataset will be selected which can help us detect faces in front of the ATM machine within the bank. 

After the dataset is complete portal will be implemented which will handle the front end for the detected faces in front of the ATM. 

Then machine learning model will be integrated will the complete back-end tools so that system could perform fully and functionally.

Benefits of the Project

Project will be very beneficial to protect banks Atm's against robbery and theft.

It will help people to protect their money.

It will help banks to protect from loss of money.

Technical Details of Final Deliverable

Machine Learning model will be implemented and also AI will be implemented in the final product and it will have Front End portal as well asBack End portal and final product contain dataset and also database.

There will be a camera.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Security

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Good Health and Well-Being for People, Decent Work and Economic Growth, Sustainable Cities and Communities, Peace and Justice Strong Institutions

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com