Design and Development of Multiplatform Surveillance System
e>In today?s modern world, security and safety is a big concern. Daily, banks and other shops are robbed, and the ratio of robbery is increasing eventually. So, there is a need of such a safety system which minimizes the chances of robbery and help to keep the peace and safety maintained. The
2025-06-28 16:26:18 - Adil Khan
Design and Development of Multiplatform Surveillance System
Project Area of Specialization Artificial IntelligenceProject SummaryIn today’s modern world, security and safety is a big concern. Daily, banks and other shops are robbed, and the ratio of robbery is increasing eventually. So, there is a need of such a safety system which minimizes the chances of robbery and help to keep the peace and safety maintained. The Design and Development of Multi-platform surveillance system offers such a system that would not only help to minimize the robbery factor in daliy life but also would save many precious human lives that are lost during such incidents. The project is hardware/software integration based. It uses a weapon detection algorithm that is trained on YOLO V5. YOLO V5 is the latest and fastest technology so far providing more accurate results and observations. The system uses CCTV to detect the weapon using the weapon detection algorithm. The system incorporates the Web portal (designed on Django framework of Python) and Android application (designed on Android Studio), that is why it is given the name of Multiplatform. When the CCTV detects a weapon, it sends an alert notification on Mobile phone and The Web portal. It sends a screenshot of the CCTV footage on both platforms along with two options, discarding the alert (by pressing green button) or approving the alert (by pressing red button). If the alert is discarded, the system resets and if the alert is approved, nearby police station or security agencies are notified with exact location to take action immediately.Project Objectives
Following are the objectives of the project:
- To train weapon detection model.
- To implement the model on herdware.
- To design the GUI for the system.
- To interface the hrdware with WIFI module.
- To interface the hardware with GSM module.
A proper timeline is to be followed for implementing the whole project till the end when a working prototype will be made.
- Literature review.
- Plan of working of system.
- Development of weapon detection algorithm.
- integrating CCTV with microprocessor and Weapon Detection algorithm.
- Web portal and Android application development.
- Integrating GSM module and ESP8266 WIFI moule in the system for sending alerts and notifications.
- Testing and Troubleshooting the system.
- Final prototype.
These are few implementation steps to get to the final outcome of this project.
Benefits of the ProjectThere are many benefits of this project. Let us take a look at these benefits.
- The most positive outcome of this project as we see is the proper mobilization of Police network and private security organizations by providing them with better technology and more accurate data so that action can be taken properly on proper time.
- Saving precious human lives is another benifit of this project and securing the assets of humans. By notifying the relevant authorities on time, many human lives and assets can be saved.
- The project will reduce the human efforts and will increase the accuracy level of the security system upto 90% as the weapon detection algorithm is more fast, durable and accurate.
The technical details of the project are as follows:
- The model will be trained on YOLO V5 using a dataset of 7,801 images. The images include rifel, hand guns.
- ESP8266 WIFI module will be used to send notifications on Web Portal and Android Application.
- GSM module will be used to notify nearby police stations and security organizations.
- CCTV will be used for detecting the weapon.
- Raspbarry pi/Jetson nano will be used as microprocessor.
- The web portal will be made on Django Framework of Pyrhon.
- Android Application will be made on Android Studio.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 69400 | |||
| Jetson nano | Equipment | 1 | 46000 | 46000 |
| Hikvision DS-2CD1123G0E-I | Equipment | 1 | 4900 | 4900 |
| SIM900A GSM Module | Equipment | 1 | 3000 | 3000 |
| Nodemcu ESP8266 | Equipment | 2 | 1000 | 2000 |
| Veroboard | Equipment | 1 | 500 | 500 |
| PCB manufacturing | Equipment | 1 | 3000 | 3000 |
| Logistics cost | Miscellaneous | 1 | 6000 | 6000 |
| Printing | Miscellaneous | 1 | 4000 | 4000 |