Automaid The Smart Vacuum
An automated vacuum cleaner that would suck cotton dust and clean the floor and air for availability of a better working environment for the workers. The robot would be able to map the surroundings, keeping a track of itself using SLAM algorithm/edge detection algorithm and perform cleaning. Self-cl
2025-06-28 16:30:21 - Adil Khan
Automaid The Smart Vacuum
Project Area of Specialization RoboticsProject SummaryAn automated vacuum cleaner that would suck cotton dust and clean the floor and air for availability of a better working environment for the workers. The robot would be able to map the surroundings, keeping a track of itself using SLAM algorithm/edge detection algorithm and perform cleaning. Self-cleaning and self-charging will be the key features of the product version of this proposed solution.
Merging the aforementioned methods with the propounded idea can perpetrate the task to a great extent by further improving the overall efficiency of the product.
In addition to it the robot would not only be restricted for use in industry however it will have another model of slightly lower specifications and changes in shape suitable as a home appliance. This project aims to present this product in two categories,
i. Robot Vacuum Cleaner for Industry
ii. Home cleaner
Project ObjectivesEmployees working in to textile firms face their own problem, such as exposure to large amounts of cotton dust along with pesticide and soil particles. This exposure can lead to respiratory disorders and fatal disease of dysplasia, known as brown lung, which causes chest tightening, coughing, wheezing and shortness of breath.
The project aims to design a plausible solution that would clean the specified vicinity of particular departments ensuring reduced health risks for the workers, in textile industries of Pakistan, Bangladesh and other developing countries. A number of surveys conducted in past decade signify the validity of this issue and the substantial health risks that it brings with it. In addition, the developments and setbacks of the textile industry in the last ten years, give an insight to the probable customers and market size the final product would serve and face.
Project Implementation MethodFollowing are the implementations methods set.
i. Efficient Power and charging solution for the product. The charge to performance ratio of the product would be at least 25-35% or more performance time compared to charge time, this however can be comparable to already launched products of its kind. For either the suction module or the cleaning module, the power module would be efficient enough to power both the modules for at least 30% more uptime than the charge.
ii. Simulated (and further, later on real time) ROS based mapping/Edge detection (via camera) of infrastructure of the current residence of work for the robot. SLAM algorithm/Edge detection algorithm can provide better tracking and smooth mapping. The hardware technology so being used can be LDS sensors or ultrasonic, however low-level image processing is also viable.
iii. Self-Charge Routine, will re-track the robot back to its original docking position.
iv. Cleaning Module, different than any of the product of its kind. Having linear and fast movements of the brush to remove dust and debris.
v. Suction Module, is by far also the most important module, and due to its sheer workload is an end-time priority deliverable, requiring really precise power management. An extremely high powered module capable of sucking in fluff in the air.
vi. A module to collect dust, unlike conventional vacuums, the bank will plastic-material based.
After implementation, a check of the desired objectives would be done at the end of the completion of task. For the finished product to face the market this phase would actually be the most important.
Benefits of the ProjectDue to the several severe cases of respiratory issues in textile industries due to massive cotton and dust inhalation by the workers. According to the survey/questionnaire held by American Society of Chest Diseases in the ATS-DLD-78A and World Health Organization (WHO) it was found that 70% of workers in textiles mills were unaware of the cause of their respiratory issues were due to their work place.
Due to the aforementioned issues, this project aims to benefit such cases, so as to allow better health of our workers and to an extent our homes.
Technical Details of Final DeliverableThe Final deliverable itself consists of several deliverable highlighted below:
1. Mobile Mapping: ROS based mobile mapping simulation using SLAM algorithm or Edge Detection base mobile mapping via camera and OpenCV
2. Self-Charge routine: The robot will keep track of its battery during its cleaning routine. Once a threshold lower than required battery power is reached, self charge routine is activated, which allows it to stop all functions and proceed to its nearest charging dock.
3. Android based Cloud Application: This application consists of details of the robot along with controling capabilities. This will be linked to the cloud via servers along with the robot.
Final Deliverable of the Project HW/SW integrated systemCore Industry OthersOther Industries IT , Health Core Technology RoboticsOther Technologies Artificial Intelligence(AI)Sustainable Development Goals Good Health and Well-Being for People, Sustainable Cities and CommunitiesRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 63440 | |||
| Chassis | Miscellaneous | 1 | 3000 | 3000 |
| Raspberry Pi | Equipment | 2 | 6000 | 12000 |
| 24V High Torque Brushless DC Motors | Equipment | 6 | 400 | 2400 |
| Li-Po Battery 5200mAh | Equipment | 2 | 5200 | 10400 |
| TFT LCD Screen | Equipment | 1 | 700 | 700 |
| Ultrasonic Sensors | Equipment | 3 | 130 | 390 |
| Lidar Sensors | Equipment | 2 | 13000 | 26000 |
| DLink Cameras | Equipment | 2 | 1500 | 3000 |
| 12V 1.6A High RPM Motor | Equipment | 2 | 150 | 300 |
| Misc (Wires, Boards etc) | Miscellaneous | 1 | 5250 | 5250 |