The project revolves around creating a carrier that can carry any object ranging from 3 to 5 kilograms and follow the owner of the carier ideally by means of detecing the posture of the owner (Human) using Digital Image Processing/Kinect Technology or simply by bluetooth connectivity (alternati
Human Following Object Carrier
The project revolves around creating a carrier that can carry any object ranging from 3 to 5 kilograms and follow the owner of the carier ideally by means of detecing the posture of the owner (Human) using Digital Image Processing/Kinect Technology or simply by bluetooth connectivity (alternative). The goal is to make life easier by making such a carrier that can carry things such as bags, groceries etc. The target audience ranging from students to senior citizens.
The project has 3 main implementation areas:
To implement the first area, Kinect technology, ROS (Robot operating system and/or bluetooth module or biometric equipement will be used. The kinect technoloy detectes and tracks key 48 points of a human body to understand its movement. It would be used to send data of the human body's movement to a single board computer/microcontroller (Raspberry PI/Arduino UNO) to process and make the carrier follow the owner. If this fails, we would go for our alternate; bluetooth module that would connect the owner's smartphone and the carrier and would enable the carrier to follow the human.
For the second area, we would make use of Blynk Mobile Application used for IoT projects to provide facial recognition, connection and data sharing with the hardware carrier. Alternatively, we would use biometric technology.
For the last area, we would connect different hardware components such as sensors, motors, tires and wooden grilled base for the carrier to carry objects.
The beneifts of the project are as under:
Final deliverables would include a hardware carrier robot and/or Blynk free mobile application to be downloaded and installed.
The final carrier would have empty space on top to place objects. 3 to 4 tires at the bottom and a concealed box in the middle that has hardware equipment connecting the whole robot. there would be two sections on the top of the carrier; one would be where objects are to be placed and the other would have Kinect device placed on it.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Microsoft Kinect Sensor | Equipment | 1 | 12000 | 12000 |
| Raspberry Pi 3 Model B | Equipment | 1 | 8000 | 8000 |
| Kinect USB Adapter | Equipment | 1 | 1000 | 1000 |
| 4WD Aluminum Mobile Robot Platform (Black) | Equipment | 1 | 9500 | 9500 |
| UltraSonic HC-SR04 | Equipment | 4 | 130 | 520 |
| HC-05 Bluetooth Module | Equipment | 1 | 600 | 600 |
| Breadboard (generic) | Equipment | 1 | 290 | 290 |
| Arduino UNO R3 | Equipment | 1 | 680 | 680 |
| Jumper Wires | Equipment | 1 | 180 | 180 |
| Carrier wood and grill | Miscellaneous | 1 | 3000 | 3000 |
| Total in (Rs) | 35770 |
A smart AI based content management system is a multi-feature tool used for grammar checki...
Electrical energy one of the most if not the most used form of energy is generated using m...
Aim of the project is to develop a portable solar power generating system. Mobile Solar Po...
It is an innovative, smart & protective Cradle System to nurtue an infant in an effici...
In this project we intend to build a gesture based system to control the presentation navi...