Difference between revisions of "Duckling"

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Supplies purchased according to source: https://picar.readthedocs.io/en/latest/chapters/usage/mechanical.html#design
 
Supplies purchased according to source: https://picar.readthedocs.io/en/latest/chapters/usage/mechanical.html#design
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== Code ==
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https://github.com/Matheus-camacho/ese205
  
 
[[Category:Projects]]
 
[[Category:Projects]]
 
[[Category:Fall 2018 Projects]]
 
[[Category:Fall 2018 Projects]]

Revision as of 12:50, 28 October 2018

Link to Log

Weekly log

Overview

There once was a time when children's toy cars would be bland and boring. A child might push the car and chase it, or use her own remote controller to move the car around, but no real fun was to had when the car couldn't move freely! We wish to fix this lack of fun by designing an entirely new kind of car-the kind of car that chases you! By integrating remote-controlled car, raspberry pi, and arduino, we plan to design a pi car so that its sensors (through the Pi camera) may evaluate a person's movement and follow them. The arduino will direct the car by communicating with the motor, servo and ESC . All components will be mounted on top of the car to create one autonomous system that needs no outside influence, besides a person's movements, to direct its path.

Team Members

Patricia Collins

Tushar Menon

Matheus Camacho

Tony Sancho (TA)

Objectives

The duckling project will be deemed a success if

1. The duckling's pi car is constructed successfully according to the reference guide

2. The pi car is able to sense a red dot (or other comparable reference point) and move towards it

3. The raspberry pi successfully connects to a pi camera

4. The sensors can differentiate between the movements of a target person or object and other movements.

5. The duckling pi car will move according to information from the camera

6. The duckling pi car will use the camera to follow a person

Presentation

click here for slides

Challenges

We expect our challenges to include:

1. Completing our project under budget

2. Learning how to use the raspberry pi and arduino

3. Interfacing the pi and arduino with one another

4. 3-D printing. No members have experience.

5. Getting the camera to communicate with the raspberry pi

6. Working with the PI camera image processing to sense a person

7. Difficulties with hardware assembly

We also expect that we may have difficulty working on the project independently if we do not all have access to the pi car with the arduino and raspberry pi mounted on top. We plan to leave it in the lab in order to protect our project and promote inclusivity in access. We have no concerns regarding privacy, user safety, or security from malicious attacks.

Gantt Chart

Duckling Gantt.png

References

Pi Car documentation

Budget

Dromida 1/18 Buggy($99)

ISC25 Rotary Encoder($40)

32GB MicroSD Card($13)

IMU 9DoF Sensor Stick($15)

Raspberry Pi Camera Module V2($30)

Brushed ESC Motor Speed Controller($6)

TowerPro SG90 Micro Servo($4)

TFMini - Micro LiDAR Module($40)

Arduino (free from lab)

Raspberry Pi (free)


Total: $247

Supplies purchased according to source: https://picar.readthedocs.io/en/latest/chapters/usage/mechanical.html#design

Code

https://github.com/Matheus-camacho/ese205