https://github.com/edydfang/electronic_car_diy

A small project for Digital Circuit Course
https://github.com/edydfang/electronic_car_diy

bluetooth cradle-head motor pi-camera servo

Last synced: 8 months ago
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A small project for Digital Circuit Course

• Host: GitHub
• URL: https://github.com/edydfang/electronic_car_diy
• Owner: edydfang
• License: lgpl-3.0
• Created: 2017-05-29T19:05:49.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2017-06-09T18:14:49.000Z (about 9 years ago)
• Last Synced: 2025-07-07T06:46:50.835Z (11 months ago)
• Topics: bluetooth, cradle-head, motor, pi-camera, servo
• Language: C
• Homepage:
• Size: 10.5 MB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Electronic Car DIY

A small project for Digital Circuit Course

---

## Hardware

 - Remote controller based on MCU `STC12C5A60S2`, triaxial accelerometer `ADXL345` and bluetooth 2.0 module `HC-05`

 - Car chassis and wheels

 - `Raspberry Pi 3` Model B

   - Pi Camera

 - Cradle head made with `two` `SG90` servo

 - `Two` Dual Full-Bridge Motor Drivers `L298N`

 - `Four` 12-V stepping motors

 - Adafruit 16-Channel 12-bit PWM/Servo Driver `PCA9685`

 - Wireless Network / WIFI

 

## Tools

 - USB to TTL Transformer

 - Dupont Lines

 - 5V power to support `Raspberry Pi`, remote controller, `PCA9685` and cradle servos

 - 12V power to support wheel motors

 

## Functions Implemented

 - `send.c` in the folder `Remote Controller` is for the MCU `STC12C5A60S2` to connect and read data from `ADXL345` via `I2C` protocal and then transmit them to bluetooth via `UART`

 - `client.py` is used on PC to read the data receive by bluetooth via a `USB-TTL` serial and send the data via internet to the server on the raspberry Pi

 - `server.py` is used to receive the data and make the decision for the motors and the cradle head.

 - `cradle.py` is used to control the servos on the cradle head

 - `face_tracker.py` is used to track the face appear in the camera of Pi and control cradle head via `cradle.py`

   - OpenCV

   - rough tracking method

## Important

 - Except for `cradle.py` and `face_tracker.py`, all the python scripts should be run in python 3 or higher.

## TO DO

 - improve the size of pictures from the Pi Camera

 - change the cradle head moving algorithm to PID

 - improve the motors algorithm, add feedback processing