Human Follower robot using Deep learning with Raspberry Pi
₹15,338.00
Human Follower Robot has feature of following the human using Deep Learningwith Raspberry Pi
Features:
Human Detection using Deep learning | Human Following Robot | Path Following
Shipping: 4 to 8 working days from the date of purchase
Package Includes:
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Complete Hardware Kit
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Demo Video-Embedded Below
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Abstract
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Reference Paper
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PPT (20 Slides)
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99 in stock
Description
Introduction
Deep learning is one of the subcategories of Artificial Intelligence. By using Deep learning object recognition can be deployed to classify and locate the object such as Person, Table, chair, plant, etc. It will be merged with robotics to follow the person.
Abstract
In this project, USB Camera is interfaced with the Raspberry Pi. Deep learning is applied to identify the person from the frame. And with the help of Computer Vision, Human follower application is developed based on the position of the person.
Existing system
In the existing system, Human follower application is done using sensors. Based on the distance between the robot and the person. The vehicle gets moved.
Proposed System
In this proposed system, Deep learning with Computer vision is used by obtaining the vision-based application using the camera.
Demo Video
Connection Description
In this project, the web camera is interfaced with the Raspberry pi through USB. The car will be operated by connecting the motors with the Driver through GPIO pins of the Raspberry Pi.
Project Description
This project initially opens the camera, by applying deep learning person will be classified and computer vision estimates the position of the person in the camera frame. Then based on the position of the person, Vehicle will be driven using Raspberry Pi to follow the human.
Hardware Required
- Raspberry Pi
- 16 GB SD card
- Camera
- Power supply
- LI – PO battery
- Driver circuit
- Robot setup
Software Required
- Raspbian OS with libraries installed
- SD Card Formatter
- Etcher/Win32 Disk imager
Result
In this project, Raspberry Pi with the camera to perform Deep learning is used to identify the person. Which has less FPS. To deploy the Human following application with a high frame rate with high efficiency, a Neural compute stick can be interfaced with the Raspberry Pi for high performance.
Additional information
Weight | 1.000000 kg |
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