Nowadays more and more individuals are turning to robots to do their work, because robots are more versatile, accurate, reliable and reduce human efforts. Especially A.I Robots are very useful in every aspect and one of them is education sector where they help human beings in different fields. Our p
Modular Artificial Intelligent Robot
Nowadays more and more individuals are turning to robots to do their work, because robots are more versatile, accurate, reliable and reduce human efforts. Especially A.I Robots are very useful in every aspect and one of them is education sector where they help human beings in different fields. Our project is to design a robot that can help peoples in developing interest in their learning process. This robot can be helpful in schools and homes. In this era of technology, where the people are exposed to technology devices more than ever, our robot will help them to learn and grow and also to be a useful citizen for a country.
Our objective is to develop an AI based smart robot which will have multiple features related to learning and detection. It will be equipped with HD camera to process the live image and video and perform features like object detection, human face detection and human following feature the more an emotional intelligence user can interact with robot using voice commands that sensing and region captured through camera. Learning feature based on STEM education will help children to boost their educational and knowledge skills. It will be equipped with ultrasonic sensor which help robot in autonomous movement.
In this project, we will be using raspberry pi 4 as main controller for the whole project. Logitech HD 1080p camera will be used to capture image and video. Ultrasonic sensor will be used to detect any obstacle and hurdle. Robotics chassis motors will be drive using L298 dual channel driver. It will also have touch screen LCD display for display output and read our touch inputs.
Smart A.I based Voice Assistant.
Human Follower.
Object Detection and Human Face Detection.
Autonomous Movement.
Face Recognition & Emotion Recognition.
User interface via Robot using voice touch and Vision.
Ultrasonic sensors for Obstacle Avoidance.
Capacitive touch sensing using touch Sensors.
Manual control using Android App.
Raspberry pi 4 with 8GB RAM is the core controller of the project. One of the modules interfaced with the controller is camera. We will be using Logitech HD 1080p (c615) camera which will be interfaced using USB port. Sensors will be powered by 5v and interfaced with the GPIO of raspberry pi. The whole project is powered with 8v rechargeable battery. For 5v, we will use LM2596-5v buck converter. DC motor will be drive using L298N dual channel driver with 8v supply from battery.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Raspberry Pi 4 (8 GB RAM) with complete accessories | Equipment | 1 | 20000 | 20000 |
| SD Card (64 GB) | Equipment | 1 | 1600 | 1600 |
| HD Camera with Built-in Microphone | Equipment | 1 | 14000 | 14000 |
| Speakers | Equipment | 1 | 2000 | 2000 |
| Esp32 Module | Equipment | 1 | 1500 | 1500 |
| Ultrasonic Sensors | Equipment | 1 | 1000 | 1000 |
| LCD Touch Display | Equipment | 1 | 5000 | 5000 |
| Capacitive Touch Sensors | Equipment | 3 | 100 | 300 |
| Power Supplies (Buck/Boost Converters) | Equipment | 1 | 1000 | 1000 |
| Motor Driver (L298N) | Equipment | 1 | 500 | 500 |
| Complete Chassis Assembling including Motors and Lights | Equipment | 1 | 18000 | 18000 |
| Rechargeable Battery | Equipment | 1 | 2000 | 2000 |
| Battery Charger | Equipment | 1 | 1200 | 1200 |
| Jumper Wires, Connectors and Cables | Equipment | 1 | 1500 | 1500 |
| Total in (Rs) | 69600 |
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