This project serves the need to automatically identify and track the location of people usually within a building or other contained area where GPS would fail entirely.Our project become the most helpful features of a smart environment or smart building.This project will provide the best&n
Indoor Tracking system
This project serves the need to automatically identify and track the location of people usually within a building or other contained area where GPS would fail entirely.Our project become the most helpful features of a smart environment or smart building.This project will provide the best security of any building. By deploying this system we can track any person in a building and we can also detect registered person by face recognition model whether he is authorized person or not to enter that area of building. Or we can aslo find person where he is in the building .This product will be increment in security of a building. The perspective of this product is to help security team to manage security affectedly in daily routine like it will help security team to track person moving in building and it will also identify them with name from automatic face recognition.
The objective of this project is develop an indoor tracking system for identifying the location of objects (i.e. human) inside a building using face recognition techniques with iBeacon technology.
In this project we are using agile process. In start we collected requirement of system for the building, and how we can install the tracking sensors. Then we design system on two thing iBeacon technology for tracking and face recognition. Implementation of iBeacon and its integration with face recognition system will be carried out at SZABIST university Hyderabad campus. Then the implemented system will be tested and evaluated at same place. For tracking a person, a map will be created for the building in which we can visualize the person(s) movements
By deploying this system.The system will enhance the security of building in next level will make building more secure and will be valuable to security company.This project will help to increase, improve and maintain security level in which people can rely on. It will help user in finding people who are not allowed in a particular area or those who are danger or security risk for building management . In terms of security, this project will have an enormous impact on our daily functioning.
This project is integration of two system consist of face recognition and Person tracking system using iBeacon.There will be 4 option in our project .
1st option will be for tracking a person, A person will be track by using iBeacon devices and it will show on a building of map.
2nd option will be for face detection it will identify person with name or his registration No using face recognition model.
3rd option will be of name new face add which will add new face in database to idtentify new person.
4th option it will be for training model, it will train model after you add new faces in database if you dont train it will not identify new person.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Waterproof Ibeacon BLE 4.0 Bluetooth Module NRF51822 | Equipment | 5 | 6432 | 32160 |
| Raspbery pi 4 Model B | Equipment | 2 | 15000 | 30000 |
| power supply | Equipment | 7 | 150 | 1050 |
| Mi Home Security Camera 360° 1080P | Equipment | 1 | 6500 | 6500 |
| Total in (Rs) | 69710 |
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