Our project is basically a smart human following general trolley which can be used everywhere even for defence purposes. It identifies the specific human being and follows him smartly at a specific speed and distance. It can also be controlled through voice recognition and it can avoid the obstacles
Autonomous smart human following and obstacles avoiding robot
Our project is basically a smart human following general trolley which can be used everywhere even for defence purposes. It identifies the specific human being and follows him smartly at a specific speed and distance. It can also be controlled through voice recognition and it can avoid the obstacles coming in its way while following.
Our objectives are to make a robotic trolley using rasberry pi and else to make human life easier. It can lift a weight of 50kg almost. it can be controlled through voice and it follows a specific owner with getting hit or distracted(smartly).
We are using rasberry pi, IR/Ultrasonic sensors, LCDs, sipeed miax-II dock camera, ESP32 bluetooth and wifi module, servo motors and python coding. We will do it through image processing in which we will compare the images.
Project has alot of commercial and market applications. It can be used in malls, supermarkets, restaurants, defence, airport, golf club and alot other places. It is an automation based project which will reduce the human effort.
Working hardware design with all the functions mentioned above
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Frame and body | Equipment | 1 | 10000 | 10000 |
| Raspberry pi kit | Equipment | 1 | 40000 | 40000 |
| Li-ion batteries | Equipment | 2 | 500 | 1000 |
| Ultasonic sensors | Equipment | 5 | 100 | 500 |
| PCB boards | Equipment | 4 | 300 | 1200 |
| LCDs | Equipment | 4 | 1000 | 4000 |
| PIC | Equipment | 2 | 2000 | 4000 |
| voice recognition device | Equipment | 1 | 5000 | 5000 |
| IR sensors | Equipment | 5 | 100 | 500 |
| Buzzers | Equipment | 5 | 100 | 500 |
| LEDs | Equipment | 10 | 100 | 1000 |
| Total in (Rs) | 67700 |
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