Project Summary This paper describes a study of image identification and voice recognition in Drone. we use our system with image processing technique, we can easily detect any images and getures by drone camera. The database has been used to store different hand g
Voice Assist and Vision Based Drone
Project Summary
This paper describes a study of image identification and voice recognition in Drone. we use our system with image processing technique, we can easily detect any images and getures by drone camera. The database has been used to store different hand gestures and voice. This system will help the user to use their UAV with more control on their UAV with the help of hand gesture detection and voice to control.
Project Objestives
Hand Gestures
Our Objectives is to improve Images processing technique in drones so it can perform better than before and add more gestures so it can detect more gestures and act accordingly of hand gestures. we are making hand gestures features in which it can follow your hand and you can set it in the air for a selfie or group pictures
Voice Recognition
we are implementing speech recognition in drone, so it can be controlled by voice. How it work?, we implement speech to text and AI. We Implement speech recognition in the drone to control it through voice when it goes out of camera range mesans that it can not recognize gesture from a long distance
Our Object is to make UAV for better controlling and more feaures in it and do new things like voice recognition in UAV
On this propose work composed in different modules or approaches which is based voice and hand gesture detection and our project based and it is developed on enhanced computer vision technology that connects UAV
HAND DETECTION
The module was created to detect Hand gesture recognition is an image processing technology that recognizes the gestures with human interference. It is an image processing technology used to identify gesture by their own signs. It is easier method for Hand gesture identification. When any user interact with drone, drone system automatically detect a gesture and match on the database and check action according to it
VOICE DETECTION
The third module is the detection of a Voice which is done by SP (Speech recognition) in python. The detection is done with the laptop microphone or mobile phone, it convert speech to text and match the text on database. System capture the text and check ondatabase and identify as if it is match and action is available on the text so it will give action on it
ARDUINO UNO
Arduino is a free and open-source electronics platform that allows you to construct physical compositions with only some few components and software. One thing that all Arduino boards have in common is a microcontroller. It is essentially a little processor, create and build devices that interact with your surroundings using the Arduino. It takes readings from sensor and they can accept inputs and convert them to outputs with the help of their internal CPU and display information. The Arduino software IDE is used to program it and Arduino UNO which is a microcontroller, is in control of the entire solution. Sensors keep an eye on or track the environment, and if something abnormal happens, the sensor informs the microcontroller, which then delivers an output. It contains 54 analogue and digital input and output pins which is shown in fig 1.Main system based on it reading send to it and system running on further.
CAMERA
On our proposed system using a camera with technique of computer vision/image processing. Hand Gesture will be Detect by camera and will match in database and then segmentation. After the detection many action can be performed and many more actions.
RASPBERRY PI
Raspberry Pi is a series of small single-board computers developed in the United Kingdom by the Raspberry Pi Foundation in association with Broadcom. The Raspberry Pi project originally leaned towards the promotion of teaching basic computer science in schools and in developing countries.
DATABASE CHECK
On the database system once a gesture or voice has been detected that it will check on database and identify the action then took action on their detection as we shown in our user interface on
Benefits of the projest is we can control it with hand no need of any controller and no need to wear any hand thing to control. we can just control it by showing some hand sign in the camera drone and we can control it by voice and command it to go any direction we want
we use Raspberry Pi, arduino nano, drone frame, motors, propellers, and esential hardware require ir to run
in the final we will show working of it
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Drone Fram 450mm size | Equipment | 1 | 5000 | 5000 |
| 4 BlDC 2200 KVA motor | Equipment | 4 | 3750 | 15000 |
| 4 ESC 30A | Miscellaneous | 4 | 1000 | 4000 |
| Arduino Nano | Miscellaneous | 1 | 2500 | 2500 |
| raspberry pi 3B | Equipment | 2 | 20000 | 40000 |
| camera USB | Miscellaneous | 1 | 2000 | 2000 |
| nrf20 radio pair | Equipment | 1 | 2000 | 2000 |
| propeller | Miscellaneous | 4 | 250 | 1000 |
| Battery | Equipment | 1 | 6000 | 6000 |
| Charger | Equipment | 1 | 2000 | 2000 |
| Gyro + maneto + accelero sensor 6050 | Miscellaneous | 1 | 500 | 500 |
| Total in (Rs) | 80000 |
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