ESP32-CAM Car Project: Traffic Sign Detection and Control || CUBIT

ESP32-CAM Car Project: Traffic Sign Detection and Control || CUBIT
Here's a step-by-step guide on how you can proceed with your project:
*1. Set Up ESP32-CAM:*
- Ensure your ESP32-CAM is properly connected to your ESP32 and is configured for video streaming over Wi-Fi. You can use libraries like `esp32-cam-ai-thinker` or `esp32-cam-webserver` to achieve this.
*2. Video Streaming:*
- Stream the video feed from ESP32-CAM to your PC over Wi-Fi. You can use protocols like HTTP or MQTT for this purpose.
*3. Python and OpenCV:*
- Use Python and OpenCV on your PC to process the video feed. You can start by capturing frames from the video stream.
*4. Traffic Sign Detection:*
- Implement traffic sign detection in OpenCV. This involves:
- Color filtering to detect the red color of the stop sign and any other colors for car signs.
- Edge detection and contour analysis to detect the shape of signs.
*5. Sign Recognition:*
- Classify detected signs. You can use pre-trained machine learning models or train your own. For car signs, it may involve training a custom classifier.
Download Link: drive.google.com/file/d/11BvK...
*6. Car Control Logic:*
- Implement control logic based on the recognized signs:
- When a "stop" sign is detected, send a command to your ESP32 to stop the car.
- When a "car" sign is detected, send a command to your ESP32 to move the car.
*7. ESP32 Control:*
- Set up your ESP32 with an L298N motor controller to control your 4WD motors and wheels. Implement the logic to receive commands from your PC and control the car's movement accordingly.
*8. Communication:*
- Ensure that your ESP32 and PC can communicate effectively over Wi-Fi. You can use protocols like HTTP, MQTT, or custom sockets for this purpose.
*9. Testing and Calibration:*
- Test your system in a controlled environment to ensure that it reliably detects and responds to traffic signs. Calibrate your system as needed to improve accuracy.
*10. Safety Precautions:*
- Always prioritize safety. Implement emergency stop mechanisms and ensure that the car can be controlled manually in case of unexpected behavior.
*11. Optional Features:*
- If you wish to enhance your project, you can consider adding features like obstacle detection, lane following, or remote control.
Keep in mind that creating a fully functional autonomous car is a complex project that involves both hardware and software components. It may require significant experimentation and fine-tuning to achieve reliable performance. Always prioritize safety, especially when working with moving vehicles, and adhere to any relevant regulations or safety guidelines.
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1. #AutonomousCar
2. #ImageProcessing
3. #ESP32CAM
4. #OpenCV
5. #DIYRobotics
6. #TrafficSignDetection
7. #SmartCarProject
8. #TechInnovation
9. #DIYElectronics
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11. #SelfDrivingCar
12. #MachineVision
13. #DIYAutomation
14. #RoboticsCommunity
15. #MakerMovement
16. #EmbeddedSystems
17. #STEMProject
18. #InnovationInTech
19. #DIYCoding
20. #ArduinoProjects

[@masudparves1875]

Thank you for making this project. I need this project very badly ❤

[@cubityt]

Enjoy 😍

[@MRREDDY-ih7wb]

Esp32_Video_Streaming:102:7: error: invalid preprocessing directive #Draw
# Draw line 1
how to resolve this issue?

[@nasirhosan7521]

Wow❤❤

[@cubityt]

Thank you 😊

[@benimaru2887]

Hi. What if i want to change the picture/logo? I want the camera to detect certain logo, and move

[@ciseozbagci]

Hello, is the DC motor movement detected through the esp32 cam or is esp32 used?

[@ciseozbagci]

Hello, if I do the same steps, will it work wirelessly?

[@jaypolietty6260]

Where can i get the program codes used in this

[@Gk_india01]

Bro please provide documemt and ppt of this project

[@digitronix532]

Can we use ESP32CAM alone for this project ?

[@priyaop5040]

Can't cause ESP32 CAM is not powerful enough to process the data