Ai Based Thievery Exposure Using IoT

The project is called AI based Thievery Exposure using IOT, and it aims to replace existing security systems with current IoT and AI-based solutions. Commercial image recognition solutions are widely accessible, however such systems with a single security level are vulnerabl

Project Title

Ai Based Thievery Exposure Using IoT

Project Area of Specialization

Internet of Things

Project Summary

The project is called AI based Thievery Exposure using IOT, and it aims to replace existing security systems with current IoT and AI-based solutions. Commercial image recognition solutions are widely accessible, however such systems with a single security level are vulnerable to attack. To address these shortcomings, we created a two-level A.I.-based security system that can be readily expanded and packed with more features without sacrificing efficiency. IoT refers to the infrastructure of connected physical devices which is growing at a rapid rate as huge number of devices and objects are getting associated to the Internet. Home security is a very useful application of IoT and we are using it to create an inexpensive security system for homes as well as industrial use.The main advantages of such a system includes the ease of setting up, lower costs and low maintenance.Develop a Mobile Application and also hardware setup that will help the client to access remotely and get security across the home, building and etc. This system will be able to prevent intruder to enter or engage him until security(police) is arrived. This will allow only one admin but, multiple users can use after admin allow. This system will be multilevel low budget security system with many other features.Ai Based Thievery Detection Using IoT system have multiple features to improve security and it allows user to perform surveillance by themselves.

Project Objectives

1. To detect the intruder through AI based system.
2. Cross-platform O.S App.
3. Two-way communication between visitor and admin/user.
4. To send alert to respective devices once detect the intruder
5. To develop a system that works on both Wi-Fi and GSM and also send alerts when someone trying to hack our system
6. Auto Rooms locked when intruder if user bypass entrance measures
7. Secure windows using vibration sensor
8. Secure equipment from sabotaging using vibration sensors.
9. To detect suspicious entry from roof using motion sensors. 

Project Implementation Method

Ai Based Thievery Detection Using IoT is system consist of IoT sensors and Ai facialdetection algorithm. A cross-platform application is used to receive alerts from sensors, manage logs, IP-Camera live streaming, manage visitors record list. This system also used NODE-MCU for sending commands and receive messages from the sensors and also used buzzer to inform whether the intruder or suspicious activity is
observed.Ai Based Thievery Detection Using IoT is system consist of IoT sensors and Ai facial detection algorithm. This system used wireless IP-Camera for the detection of face
and also used for the purpose of surveillance. This system used vibration sensor to detect the door sabotaging and also used door sensor to detect the state of the door. In this system NVR is used to provide the remote access of IP-Camera. Buzzer is used to alert when the intruder is detected or the suspicious activity is observed by the system.For face detection this system used IP-Camera integrated with Ai Algorithm through which we can check whether the visitors is in list or an intruder.In above Architecture diagram is showing how user interact with in system, by using different types of operations provided by the system’s interface.all the system is controlled by the Node-MCU which is integrated with raspberry-pi which directs to the database Iot sensors sends signals to the Node-MCU then raspberry pi connect it to the cloud and Node-MCU sends signals to the Raspberry-pi through WI-FI network then raspberry-pi receive signals from sensors and send it to the user and user sends commands to the sensors through application and also notification media can be send and receive notification and alerts from rest api IP-camera is connected to the NVR for video recording and real time video streaming through cloud and NVR is connected to the Raspberry-pi

Benefits of the Project

Develop a Mobile Application and also hardware setup that will help the client to access remotely and get security across the home, building and etc. This system will be able to prevent intruder to enter or engage him until security(police) is arrived. This will allow only one admin but, multiple users can use after admin allow. This system will be able to record video for evidence and for future record. This system will maintain daily visitors log App provide features like auto-door operation, can two-way- talk with visitors, can also report security department, receive notifications, provide feedback about app and system and so on. This system will be multilevel low budget security system with many other features.

Technical Details of Final Deliverable

Above figure shows the class and their features in the system first of user launch the application as it is first time to use the system app he have to provide information required by the authentication screen then a request is sent to the database for the approval and the admin can approve the request after the authentication systems checks the sensors states means checks all the sensors like door is opened/closed camera is working or not the state of buzzer and also check the vibration sensor status and then tells the user about the status of the sensors through app then user can add the camera user can add up to 4 cameras which is used for the surveillance. It allow user to send request to the server in real time sending commands to the hardware through database and also bind all devices through buttons embedded in an applications in admin account and give authority to the admin to add members whom requested him for access the system it also help to check the daily logs which help to maintain the record of the activity on the application.

In above Architecture diagram is showing how user interact with in system, by using different types of operations provided by the system’s interface.all the system is controlled by the Node-MCU which is integrated with raspberry-pi which directs to the database IoT sensors sends signals to the Node-MCU then raspberry pi connect it to the cloud and Node-MCU sends signals to the Raspberry-pi through WI-FI network then raspberry-pi receive signals from sensors and send it to the user and user sends commands to the sensors through application and also notification media can be send and receive notification and alerts from rest api IP-camera is connected to the NVR for video recording and real time video streaming through cloud and NVR is connected to the Raspberry-pi

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Security

Other Industries

IT

Core Technology

Internet of Things (IoT)

Other Technologies

Artificial Intelligence(AI), Cloud Infrastructure, Big Data

Sustainable Development Goals

Industry, Innovation and Infrastructure, Sustainable Cities and Communities, Partnerships to achieve the Goal

Required Resources

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