Object detection car using Esp32

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Created by
Autobot Robotics
Categories
Internet of Things
Review
9.45 (9.8k+ reviews)

Course Description

An ESP32 camera-based object detection robot using the Android application ESP32 AI Cam typically works by streaming live video from the camera module to the Android device using Wi-Fi or Bluetooth communication. We will also set up the Arduino IDE for the ESP32 Camera Module. We will also upload the firmware and then work on the object detection & identification part. The robot will need AI-based algorithms to detect and identify objects within the video data. These algorithms can be trained on large datasets of annotated images or videos to learn patterns and features that can be used to recognize objects

What you'll learn

  • Arduino:- How to use C, C++ and embedded c programming in Arduino IDE
  • ESP32-CAM:- How to install/upload Arduino programming in ESP32-cam & Other microcontroller
  • Interface:- ESP32-CAM and Android app interface.
  • Object Detection, Identification and video processing

Requirements

  • Esp32-Cam
  • Android App
  • Motor driver
  • Bo Motor
  • Battery

Student feedback

4.93

Course rating
4132
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    Oscar Cafeo

    Beautiful courses

    This course was well organized and covered a lot more details than any other Figma courses. I really enjoy it. One suggestion is that it can be much better if we could complete the prototype together. Since we created 24 frames, I really want to test it on Figma mirror to see all the connections. Could you please let me take a look at the complete prototype?

  • ...
    Alex Morgan

    Beautiful courses

    This course was well organized and covered a lot more details than any other Figma courses. I really enjoy it. One suggestion is that it can be much better if we could complete the prototype together. Since we created 24 frames, I really want to test it on Figma mirror to see all the connections. Could you please let me take a look at the complete prototype?


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Enroll this course
  • Duration
    11days
  • Lectures
    1
  • Language
    English
  • Skill level
    Mediocre