Build an Object Tracking Robot with Arduino and HuskyLens

Table of Contents

1. Introduction
2. What is a Husky Lens?
3. Object Tracking Robot Using Arduino
4. Circuit of the Project
5. Setting up the Circuit
6. PCB Manufacturing with PCBWay
7. Assembling the Components
8. Robot Chassis
9. Installing Husky Lens Library
10. Coding the Object Tracking Robot
11. testing the Robot
12. Conclusion

Introduction

🤖 Welcome back to "Roots in the Code"! In this Arduino AI vision sensor Tutorial series, we've been exploring the amazing capabilities of the Husky Lens. In the previous videos, we discussed what a Husky Lens is, its functionalities, and how to connect it to Arduino. Building upon that knowledge, today we're going to delve into the exciting world of robotics. In this article, I will guide you through the process of creating your very own object tracking robot using Arduino and the Husky Lens. So, buckle up and get ready to embark on this exhilarating journey!

What is a Husky Lens?

Before we dive into building the object tracking robot, let's quickly Recap what a Husky Lens is. The Husky Lens is an artificial intelligence vision sensor designed specifically for maker projects. With its built-in camera and powerful AI algorithms, the Husky Lens can recognize and track objects, detect faces, and much more. It provides an easy and intuitive way to bring vision capabilities to your Arduino projects.

Object Tracking Robot Using Arduino

In this section, we will walk through the step-by-step process of building an object tracking robot using Arduino and the Husky Lens. This robot will be able to follow objects and track their movement. It's a great project to showcase the capabilities of the Husky Lens and explore the world of robotics.

Circuit of the Project

Let's start by taking a closer look at the circuitry of this project. The circuit consists of a simple L293D motor driver controlled by an Arduino. The input power is connected to a 7805 voltage regulator, which provides a steady 5V DC supply to the Arduino and the logic operations of the motor driver. Indicator LEDs are placed across the 12V and 5V terminals for easy troubleshooting. The circuit can be set up on a breadboard or a PCB, depending on your preference.

Setting up the Circuit

Once you understand the circuit layout, it's time to set up the circuit. You can start by connecting the components on a breadboard or designing a PCB layout. If you choose to work with a PCB, I recommend PCBWay, a reliable PCB manufacturer specializing in PCB prototyping, low volume production, and neat PCB assembly. PCBWay offers high-quality PCBs at affordable prices and delivers them quickly. Simply go to the PCBWay website, fill in the board details, make the necessary selections, and place your order. The professional technicians at PCBWay will review your design and ensure its accuracy before production.

Assembling the Components

Once you have your PCBs from PCBWay or if you're using a breadboard, it's time to assemble the components on the chassis. For this project, I highly recommend using one of the best chassis I've come across for building robotic projects. I'll provide a link to it in the description, so be sure to check it out. You can use the mounting brackets and pieces that come with the Husky Lens to attach it securely to the chassis.

Installing Husky Lens Library

Now that our hardware setup is complete, we need to install the necessary software libraries for the Husky Lens. In one of my previous videos, I explained the step-by-step process of installing the Husky Lens library from the Arduino IDE. If you haven't done it yet, I highly recommend watching that video and following the instructions. I'll leave the link in the description for your convenience.

Coding the Object Tracking Robot

Once we have the Husky Lens library installed, we can proceed to code the object tracking robot using Arduino. Don't worry if the code seems lengthy, as it is relatively simple to understand. We begin by setting up the Husky Lens library, which adds additional functionality to the Arduino. Next, we initialize the necessary connections and pins for driving the motors. The code contains functions for motor control and displaying the data read by the Husky Lens. You can customize these values according to your specific needs. Once you have the code ready, select the right port, and click on upload to transfer it to the Arduino board.

Testing the Robot

With the code uploaded, let's put our object tracking robot to the test! Power on the robot and train the Husky Lens in object tracking mode by pointing it at an object. Once the training is complete, move the object left or right, and watch as the robot dutifully follows its movement. It's a fascinating demonstration of the capabilities of the Husky Lens and Arduino working together seamlessly.

Conclusion

Congratulations on building your very own object tracking robot using Arduino and the Husky Lens! In this article, we explored the circuitry of the project, set up the hardware components, installed the necessary libraries, coded the robot, and tested its functionality. This project serves as a fantastic starting point to delve into the world of robotics and AI vision. In future videos, we will explore even more exciting projects, including face recognition using Arduino and the Husky Lens. Don't miss out on any of the upcoming videos by subscribing to my Channel and clicking the notification Bell. Until then, be sure to check out the resources and links provided in the description for more information and to support "Roots in the Code."

Highlights

• Building an object tracking robot using Arduino and the Husky Lens
• Circuit layout and components
• Setting up the circuit on a breadboard or PCB
• Assembling the components on a reliable robot chassis
• Installing the Husky Lens library for Arduino
• Coding the object tracking robot
• Testing the robot's functionality
• Exploring the possibilities of other AI vision projects with the Husky Lens

FAQ

Q: Can I use a different motor driver for this project? A: While the L293D motor driver is commonly used in Arduino projects, you can experiment with other motor drivers that suit your specific requirements. Just make sure to adjust the code accordingly.

Q: What other projects can I create with the Husky Lens? A: The Husky Lens opens up a world of possibilities for AI vision projects. Apart from object tracking, you can explore face recognition, color detection, gesture control, and much more. Let your creativity run wild!

Q: Can I use a different chassis for the robot? A: Absolutely! The chassis I recommended is one of the best options I have come across, but you can use any compatible chassis that meets your needs. Adaptability is what makes robotics so exciting!

Q: How accurate is the object tracking feature of the Husky Lens? A: The accuracy of the object tracking feature depends on various factors, including lighting conditions, size and shape of the object, and the training process. It's always good to experiment and fine-tune to achieve the desired results.

Q: Are there any resources or tutorials for learning more about this topic? A: Yes, there are plenty of resources available online for further exploration. You can refer to the PCBWay website for PCB manufacturing, visit the Husky Lens documentation for detailed instructions, and watch my previous videos for a comprehensive understanding of the project.

Q: Can I incorporate other sensors or modules into the object tracking robot? A: Of course! The object tracking robot we built serves as a foundation, and you can expand its functionality by integrating additional sensors or modules. Let your imagination and requirements guide you!

Resources:

• PCBWay: https://www.pcbway.com/
• Arduino IDE: https://www.arduino.cc/en/software
• Husky Lens Documentation: https://wiki.dfrobot.com/HuskyLens
• "Roots in the Code" YouTube Channel: [insert YouTube channel URL]