The safety of the Human being have become very important and in the industries we need to make it sure that the production rate would grow with least accidents or casualities. It's the era of Technology and Artificial Intelligence. The problem we face during accidents in every organ
SMART IOT-BASED INDUSTRIAL FIRE EXTINGUISHER SURVELIENCE ROBOT
The safety of the Human being have become very important and in the industries we need to make it sure that the production rate would grow with least accidents or casualities. It's the era of Technology and Artificial Intelligence. The problem we face during accidents in every organization is that the human itself has to resolve the accidents by putting its live at risk. Either its a bank or any other industry, everywhere this problem usually occurs.
The solution that we proposed is to resolve the accident without and with least human Interferance by designing and developing a Smart Surveillance Robot which is capable enough to do the same task but it can be control remotely at certain distance. Here, Artificial Intelligence along with Internet of Things makes it capable enough to predict the hazardous situation if it is going to happen.
There are 2 main objective of this project which are as under:
1. Remotely Control and Monitoring
Since the task is risky and to insulate the human lives from these is very important. So, we are focusing it to make it rulable with safe distance and in addition with that we are also trying to make it capable to keep track on the situation in which it is allocated.
2. Quick Response
All such accidents begin with slight leakage or some other issue with the system and it is very difficult to manually monitor each and every sensitive part of the system. So, we implement an Artificial Intelligence model that will be that much proficient and shows rapid response on these condition.
Since the project is Hybrid (Hardware/Software based) so we are going with the given flow:
> Material and Instrument Selection
> Instrument testing
> Body Fabrication
> Artifical Intelligence Model Developing
> IoT cloud platform establishment
> Integerating with the controller
> Final Testing
This project mainly targeting the Industries, banks, and hospitals. There are several benefits depends upon the organization, some general benefits are:
> User-friendly and flexible control system (Every user whether technical or not can easily use it)
> Affordable and efficient design
> Does not require that much maintenance and technical assistant for this
> Monitoring becomes way more easy then usual
The hardware fabrication is quite simple but there are few things in its software from technical aspects. It works with the Integeration of Artificial Intelligence and Internet of Things. At first, the IoT platform that we are using is NodeRed in which we design the Dashboard for the user and establish the connectivity between the hardware and software and to the AI model. The AI model that we are building is a Deep Learning model and specifically we are using is YOLO V3 (Great model for Object Detection at real-time) model. YOLO is a special type of Deep Learning model in which mostly the objects of daily routine would be detected. So, we prepare a dataset of different types of Fire and prepare the Model with the help of YOLO algorithm and then connect it with the cloud (NodeRed).
In this way, our model is accessible remotely with great accuracy.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| ESP 32 MCU | Equipment | 3 | 850 | 2550 |
| Servo SG90 | Equipment | 3 | 300 | 900 |
| Servo MG995 | Equipment | 2 | 800 | 1600 |
| DC Motor | Equipment | 6 | 450 | 2700 |
| Vero board | Equipment | 2 | 40 | 80 |
| LED Indicator | Equipment | 3 | 200 | 600 |
| Single channel Relay Module | Equipment | 2 | 150 | 300 |
| BMS System | Equipment | 2 | 350 | 700 |
| 18650 Lithium Cell | Equipment | 12 | 150 | 1800 |
| Mini Power Bank | Equipment | 1 | 1000 | 1000 |
| IP Camera | Equipment | 1 | 2500 | 2500 |
| Body Parts | Equipment | 1 | 5500 | 5500 |
| Body Fabrication | Miscellaneous | 1 | 9000 | 9000 |
| Documentation | Miscellaneous | 1 | 1000 | 1000 |
| Total in (Rs) | 30230 |
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