Difference between revisions of "S16: Helios"

Revision as of 22:03, 15 May 2016

Grading Criteria

How well is Software & Hardware Design described?
How well can this report be used to reproduce this project?
Code Quality
Overall Report Quality:
- Software Block Diagrams
- Hardware Block Diagrams
  Schematic Quality
- Quality of technical challenges and solutions adopted.

Automated Assembly Line

This project is an automated assembly line capable to defect detection, rejection and sorting with the help of wireless communication and image processing.

Abstract

The project is an automated assembly line capable of object defect detection, object rejection and sorting with the help of image processing algorithms and wireless communication. The entire system comprises of three micro controllers (2 SJOne boards and one Raspberry pi 2). A wired interface exists between raspberry pi 2 and SJOne transmitter board, while the two SJOne boards communicate via nordic wireless. Raspberry pi 2 is equipped with a linux operating system with Open CV support to run image processing algorithms for color and shape detection. All three micro controllers are mounted to a miniature assembly line with object moving on it. The SJOne transmitter board is capable of object rejection using servo motor and IR object detector module, while the SJOne receiver board is capable of simple sorting using servo motor based on the result of object color and shape detection algorithms running on raspberry pi 2.

Objectives & Introduction

To design a automated assembly line with motor drive.
To implement nordic wireless communication on SJOne board for communication of control signals.
To design and implement color and shape detection algorithms using Open CV.
To use servo motors with mechanical parts to perform object rejection and sorting.
To be able to process images of objects on the belt and decide the acceptance of object for future processing on the assembly line.

There is a need for Assembly lines to incorporate intelligence to identify and reject defective products. Image processing is one of the foremost technologies responsible for achieving this intelligence. An assembly line with wireless and object detection, sorting capabilities is the prime goal of this project. The need for a wireless assembly line arises due to large wiring overhead in wired systems.

A camera captures the pictures of items that move on an Assembly line. The raspberry pi 2 board processes these pictures and assesses color and shape information and communicates to boards further down the aseembly line to take appropriate action. The SJOne transmitter board receives the information and rejects defective items from the assembly line while retaining fit items for the future stages of the assembly line. The SJOne receiver board uses servo motor to bifurcate the products into two separate belts based on color for future actions.

Team Members & Responsibilities

Kartick Parameswaran

OpenCV installation, Rasberry Pi environment setup, Hardware support

Anush Shankar

Open CV installation support, Nordic wireless communication, Stepper and servo control, Conveyor and Hardware

Sindhuja Gopalakrishnan Elango

Open CV algorithm design, Nordic wireless communication, Sensor implmentation, Hardware support

Akshay Dabholkar

Open CV algorithm design,implementation and verification, Hardware support

Schedule

This section of the report provides the team schedule for the Assembly line project, indicating the milestones to be achieved during the course of the project.

SI No.	Start Date	End Date	Task	Status	Actual Completion Date
1	03/20/2016	03/29/2016	Discussions on overall system design and implementation. Identification of parts and components required for the project. Ordering components required. Research on prospective image processing platforms and their feasibility.	Completed	03/29/2016
2	03/30/2016	04/05/2016	Familiarization with image processing tools and software(Open CV). Establish speed and direction control for Motors. To start building assembly line model for future integration.	Completed	04/05/2016
3	04/06/2016	04/12/2016	Decide on image acquisition, enhancement and basic color detection algorithm, start implementation. Complete motor controls and begin wireless communication design and implementation.	Completed	04/12/2016
4	04/13/2016	04/19/2016	Design Image morphology detection scheme and start implementation. Implementation of object sorting and rejection system.	Completed	04/25/2016
5	04/20/2016	04/26/2016	Verification of image processing algorithm on different objects based on color and morphology. Mounting of motor controls on assembly line system and verification of design.	Completed	05/05/2016
6	04/27/2016	05/03/2016	Integrating image processing and other systems (sorting and rejection system, and assembly line). Verification of wireless communication across individual boards. Decision on safety controls for the system.	Completed	05/12/2016
7	05/04/2016	05/10/2016	Extensive Testing of the design with varied control signals and perform necessary calibration.	Incomplete
8	05/11/2016	05/17/2016	Final testing, checks and enhancements in design.	Incomplete

Parts List & Cost

Item#	Part Description	Vendor	Qty	Cost
1	Conveyer system	Amazon	1	$34.62
2	IR Object detector	Fry's	2	$21.78
3	Antenna - Wireless communication	Amazon	2	$10.9
4	5V Stepper Motor with driver break out board	Amazon	2	$11.98
5	Microsoft USB HD camera	Amazon	1	$24.24
7	Wire Cutter	Amazon	1	$2.99
8	Hardware Items	Home Depot	1	$15.49
	Total Cost			$113.87

System Block Diagram

Design & Implementation

The design section can go over your hardware and software design. Organize this section using sub-sections that go over your design and implementation.

Hardware Design

Discuss your hardware design here. Show detailed schematics, and the interface here.

SJOne Board

Raspberry Pi

Conveyor Belt

Conveyor belt is a mechanical system with which materials can be transferred from one location to another. Conveyor systems are used in many industrial applications for safely transferring materials where several processing steps happen on the material when it travels on the belt. As the conveyor system is fully automated, it can be ensured to a have a uniform throughput of the deliverable. Industries thus use the conveyors for increasing their production rate. Conveyor systems are very popular in material handling, packaging, automotive, food processing and many other industries.

Basic conveyor structure

Conveyor assembly

Webcam

Nordic wireless

IR Detector

IR Detector OSEPP IRDET-01 detects obstacles when they are in the calibrated range. The module has 3 pins which are the ground(G), VCC(V) and Signal(S). The signal wire line is digital. It can be either high or low. High if the detected range is further than the calibrated distance, low if the detected range is less than the calibrated distance.

Calibration

IR Detector Calibration

IR detector module device has two potentiometers that can be used to calibrate the device. One for frequency (F) and one for distance (D). Much like an IR Remote, the IR light is oscillated at a defined frequency and detected at that same frequency; this enables the sensor to work in noisy environments. The frequency of the detector module can be adjusted to avoid interference with other detectors or other IR sources. Turning the frequency potentiometer clockwise increases the frequency and turning it anti clockwise decreases the frequency.The distance at which the sensor is triggered is determined by adjusting the Distance potentiometer. When the sensor is triggered the LED will light up. Turning this pot clockwise increases the triggering distance, turning it counter-clockwise decreases the distance.

Servo Motor

Stepper Motor

Hardware Interface

In this section, you can describe how your hardware communicates, such as which BUSes used. You can discuss your driver implementation here, such that the Software Design section is isolated to talk about high level workings rather than inner working of your project.

Interface with SJOne Master Board

Interface with SJOne Slave Board

Software Design

Show your software design. For example, if you are designing an MP3 Player, show the tasks that you are using, and what they are doing at a high level. Do not show the details of the code. For example, do not show exact code, but you may show psuedocode and fragments of code. Keep in mind that you are showing DESIGN of your software, not the inner workings of it.

Implementation

This section includes implementation, but again, not the details, just the high level. For example, you can list the steps it takes to communicate over a sensor, or the steps needed to write a page of memory onto SPI Flash. You can include sub-sections for each of your component implementation.

Testing & Technical Challenges

Describe the challenges of your project. What advise would you give yourself or someone else if your project can be started from scratch again? Make a smooth transition to testing section and described what it took to test your project.

Include sub-sections that list out a problem and solution, such as:

My Issue #1

Discuss the issue and resolution.

Conclusion

Conclude your project here. You can recap your testing and problems. You should address the "so what" part here to indicate what you ultimately learnt from this project. How has this project increased your knowledge?

Project Video

Upload a video of your project and post the link here.

Project Source Code

Sourceforge Source Code Link

References

Acknowledgement

Any acknowledgement that you may wish to provide can be included here.

References Used

List any references used in project.

Appendix

You can list the references you used.

@@ Line 208: / Line 208: @@
 IR Detector OSEPP IRDET-01 detects obstacles when they are in the calibrated range. The module has 3 pins which are the ground(G), VCC(V) and Signal(S). The signal wire line is digital. It can be either high or low. High if the detected range is further than the calibrated distance, low if the detected range is less than the calibrated distance.
 =====Calibration=====
-[[File:CMPE_244_S16_Helios_IRDetector_circuit.png|left|200px|thumb|IR Detector pins]]
+[[File:CMPE_244_S16_Helios_IRDetector_circuit.png|left|200px|thumb|IR Detector Calibration]]
 IR detector module device has two potentiometers that can be used to calibrate the device. One for frequency (F) and one for distance (D). Much like an IR Remote, the IR light is oscillated at a defined frequency and detected at that same frequency; this enables the sensor to work in noisy environments. The frequency of the detector module can be adjusted to avoid interference with other detectors or other IR sources. Turning the frequency potentiometer clockwise increases the frequency and turning it anti clockwise decreases the frequency.The distance at which the sensor is triggered is determined by adjusting the Distance potentiometer. When the sensor is triggered the LED will light up. Turning this pot clockwise increases the triggering distance, turning it counter-clockwise decreases the distance.