Project Group 21: Objects Recognition Robot

Team Name:

Wall-E

Project Title: 

Objects Recognition Robot

Team Members:

Captain: Yuchen Fan, Electrical Engineering

Members: Shiqi Wei, Electrical Engineering

        Shuo Chen, Electrical Engineering

        Xiaofan Chen, Computer Science and Engineering

Team Mentor:

Professor Nader Bagherzadeh

Project Description:

The idea of the project is to design an intelligent robot which can identify objects and display relevant information of the object. When walking, it can also avoid obstacles and choose the safest way by algorithm. This type of objects recognition robots can be developed to undertake some routine jobs, like guide robots in museums, or find certain things in a particular area.

Introduction:

Object recognition is not something new. However, most of the object recognition technique is used in apps or some laboratories, and not many people apply it to practical use. Our object recognition robots can be used to guide the tourists in museum or detect things in the wild  where researchers are hard to reach. For now, few similar robots have appeared in the market, but what we want to do is to combine some certain functions together to make the robot become more useful.  There are some programmable prototypes available for us to use.

Our team has rich experience in image process and motion control. We have a deep cooperation in research for a long time.

Approachs: 

• Use the programmable robot as a prototype and add the sensors to avoid obstacles;

• Storage audio files in SD card and use a speaker to display relevant information;

• Optimize the photo process algorithm to fasten the response to users.

Innovations:
Object recognition robot can not only identify the objects in its sight, but also avoid obstacles and go to other directions when it is too close to the objects. Information of the objects can be displayed to users through a speaker.

Process & Schedule:

Winter Quarter

• Build the Prototype                     End of Week 1

                                   ( Milestone 1 )           

• Motion Control &

   Obstacle Avoidance                     End of Week 4         

                                   ( Mile stone 2 )                        

• Data Transmission                         End of Week 6

• Object Recognition & 

    Function Test                                End of Week 8

                                   ( Milestone 3 )

• Algorithm Optimization               End of Week 9           

• Project Completion                      End of Week 10         

Basic Parts:

• Camera sensor: CMU cam5 Pixy

   Capture objects in the picture and send the data back 

• Motherboard: Propeller Activity Board 

• Distance sensor: PING))) Ultrasonic Distance Sensor      

   Measure the distance between the obstacle and the robot

• Motor: Parallax’s High Speed Continuous Rotation Servo      

   Bi-directional, rotation speed controlled by PWM wave

• Speaker: Veho 360 Speaker      

   Play the introduction audio file

Accomplishment:

Demo on Youtube: https://youtu.be/xfpUDldcvLA

Contact Information:

Yuchen Fan: yuchenf3@uci.edu