Drone Control by Hand Gestures through webcam

Project Title

Drone Control by Hand Gestures through webcam

Project Area of Specialization Artificial IntelligenceProject Summary

This project is a hardware and software integrated system. There is a simple drone, which is totally control by laptop camera i.e webcam..Hand gestures will perform in front of the camera and camera will recognize through machine learning.

Project Objectives

Drone Control by Hand Gestures Through Webcam (DCHGTW) is a drone which is controlled by a hand gesture. Hand Gesture Recognition system used for interfacing between machine and human using hand sign. Normally drones are controlled by remote or motion sensors. But in this, we are using a hand gesture to provide a good interaction to control the drone remotely from a laptop camera or any other camera. We propose the use of hand gesture as a method to control drones.

Project Implementation Method

We will use a simple drone on which we will attach Raspberry Pi & wireless module, which is used to connecting hand gesture recognition software (which will be running in a laptop) and drone. In hand gesture recognition system is based on machine learning, there will be the training of hand gesture (only navigations control system based on a particular gesture) that will be performed. After the recognition of the correct gesture, it will send instructions to the Raspberry Pi system based on that drone will be navigated. We use the Linux operating system as a platform for this project and OpenCV (library/package) will be the main part of this software, which will recognize live hand gestures.

Benefits of the Project

The idea of developing this application is to make an innate and easy to use an alternative that is different and more entertaining than common controls. This software is replacing a remote, which was difficult to carry, and it also has cost. After this application, there will not be a problem of carrying any hardware except drone and it will reduce cost. It can be used by any person and without any gadgets, it will only control by gestures, which is very easy to control for everyone. Controlling a drone via gestures are not very common hence it’s beneficial to take advantage of a growing field. In the future, after attaching a camera on this drone, it can be used for security purpose or after attaching different gadgets it can be used for solving various problems.

Technical Details of Final Deliverable

We are using Raspberry Pi, which will give instructions to the drone. Wireless (wireless serial communication device), which will provide communication between PC and Raspberry Pi. It is connected to PC through USB explorer and connected to Raspberry Pi.4 Motors will be used and 5 IC will also be used. The microcontroller will control everything on the drone. The battery will give power to every component on the drone. The drone will help with process movement.

Final Deliverable of the Project HW/SW integrated systemType of Industry IT Technologies Artificial Intelligence(AI), RoboticsSustainable Development Goals Decent Work and Economic GrowthRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	69250
Motors	Equipment	4	5000	20000
Drone Body	Equipment	1	5000	5000
Wireless Module	Equipment	1	7000	7000
Raspberry Pi	Equipment	1	15000	15000
Printing SRS	Miscellaneous	3	1000	3000
Printing Project Poster	Miscellaneous	1	1000	1000
Webcam	Equipment	1	3000	3000
Battery	Equipment	1	2000	2000
Propeller	Equipment	4	250	1000
Microcontroller	Equipment	1	8000	8000
IC	Equipment	5	850	4250