The outbreak of coronavirus is very deadly yet it is still being taken for granted as it is an obligation for people to buy grocery items and food to carry out their daily activities, also as we are now moving more towards the technological era, a lot of fuel is wasted when a common person moves out
Autonomous delivery robot
The outbreak of coronavirus is very deadly yet it is still being taken for granted as it is an obligation for people to buy grocery items and food to carry out their daily activities, also as we are now moving more towards the technological era, a lot of fuel is wasted when a common person moves out of home in search of household items and also moving out of home leaves you prone with many deadly diseases including coronavirus itself.
A mechanism has to be developed to ship the required common household items without any human involvement to save the people who will be at risk involving the shopping items moreover to save time and energy for people who work at home as the trends in society have changed due to safety purposes.
Artificial intelligence is playing a vital role in every aspect of human life, from anomaly detection, image-classification and health care, it is being developed to ease a human's life in every possible way. To ease the time and energy involved in the transport of household items and materials we are developing a self-driving car based mechanism which will be controlled using GPS to autonomously deliver items from one place to another moreover it will be powered using a mobile application. The user will have to shop for the item needed, once the items are selected, the robot will autonomously move towards the selected brand's location first, and then it will move towards the location provided by the user autonomously keeping in view only the pedestrian footpath.
Since this is a complex project it is broken down into several implementation steps:
Simulation software:
The open-source self-driving car simulator provided by Udacity will be used to test the algorithms developed for lane detection and autonomous navigation using a convolutional neural network architecture provided by Nvidia, once tested the same architecture will be used for training the car in actual to predict the right steering angle given an input image.
Hardware integration:
Mobile application integration:
The goal of the project is to develop an Artificial intelligence system that can be used to transport household items from one place to another without human involvement and this project has many benefits to mankind such as:
One of the advantages is that the health of people is not at risk as there is very minimal human contact thus enabling the users to not move out from their locations in order to prevent coronavirus from spreading.
Time is valuable and since work from home cultures have become widespread the time and energy of every individual is important therefore by just shopping through the application the users will not move out of their homes in their cars which minimizes fossil fuels emission moreover a time of a busy person is also saved.
The robot will be controlled electronically therefore no fossil fuels will be burned in order for it to move. Only the batteries will have to be recharged once drained.
The robot will have a locked lid that can only be opened when the right customer enters a certain code provided by the application to the user.
The robot is equipped with anti-theft technology that if someone tries to steal it, an alarm will be generated and the two-way camera will take the picture of the person involved.
One of the main advantages of this robot is its cost, the cost of a prototype is low whereas a real-time robot is not that high and can easily be created.
The robot can deliver packages to as far as four miles at max whereas a prototype can deliver packages up to one mile, therefore allowing the users with capacious flexibility.
Final Deliverables:
The robot will only move on the pedestrian path and will not move on the road moreover will be controlled by GPS but will keep only the pedestrian walking path in its memory.
The robot will avoid all obstacles in its way to keep people and humans safe without damaging the environment.
The robot will have anti-theft technology such as the lid will only be opened only when the code generated to the user is entered.
The robot will be controlled by the GPS coordinates of the user.
The robot will take GPS coordinates only by a mobile application also a wide variety of brands will be available to the users to shop from.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Rasberry pi | Equipment | 1 | 12000 | 12000 |
| Robot body | Equipment | 1 | 20000 | 20000 |
| Rasberry Pi camera | Equipment | 1 | 6000 | 6000 |
| Tensor processing unit | Equipment | 1 | 20000 | 20000 |
| Motor driver | Equipment | 1 | 500 | 500 |
| Neo 6m gps sensor | Equipment | 1 | 2500 | 2500 |
| Magnetometer | Equipment | 1 | 200 | 200 |
| Accelrometer | Equipment | 1 | 1000 | 1000 |
| HC-05 | Equipment | 1 | 1000 | 1000 |
| Servo motos | Equipment | 2 | 1000 | 2000 |
| DC motors | Equipment | 4 | 300 | 1200 |
| Travelling | Miscellaneous | 6 | 400 | 2400 |
| Other expenses during travelling | Miscellaneous | 6 | 500 | 3000 |
| Stationary(Thesis) | Miscellaneous | 1 | 2000 | 2000 |
| Brochure | Miscellaneous | 1 | 2500 | 2500 |
| Total in (Rs) | 76300 |
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