S16: Ahava - Revision history

Proj user10: /* Image Processing on Compute Module */

2016-05-24T21:42:20Z

‎Image Processing on Compute Module

Proj user10: /* Objectives & Introduction */

2016-05-24T21:34:47Z

‎Objectives & Introduction

Proj user10: /* References */

2016-05-24T21:34:04Z

‎References

Proj user10: /* Project Source Code */

2016-05-24T21:25:19Z

‎Project Source Code

Proj user10: /* Project Video */

2016-05-24T21:24:22Z

‎Project Video

Proj user10: /* Conclusion */

2016-05-24T21:23:57Z

‎Conclusion

Proj user10: /* Parts List & Cost */

2016-05-24T21:22:07Z

‎Parts List & Cost

Proj user10: /* Conclusion */

2016-05-24T21:17:17Z

‎Conclusion

Proj user10: /* Objectives & Introduction */

2016-05-24T21:07:49Z

‎Objectives & Introduction

Proj user10: /* Team Members & Responsibilities */

2016-05-24T21:07:14Z

‎Team Members & Responsibilities

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 ===Image Processing on Compute Module===
 After the image processing algorithm was tested on the PC using a webcam, it was ported to Compute Module which made use of Raspberry Pi Camera. Algorithm was tested for various objects in different lighting conditions. Based on trial and error method, various threshold values like HSV components and object area were finalized.
 ===Integration testing===

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 This project aims at tracking a known object from a vehicle and follow the target at a pre-fixed distance. The RC car is mounted with a camera which is interfaced to a Raspberry Pi Compute module. The Compute module performs the required image processing using OpenCV and provides relevant data to the Car Controller for driving. An Android Application is developed to allow a user to select an object by adjusting the HSV filter thresholds. These values are then used by the imaging application to track the desired object.
-== Objectives & Introduction ==
+== Introduction ==
 === Team Members & Responsibilities ===

@@ Line 820: / Line 820: @@
 == References ==
-=== Acknowledgement ===
+https://www.raspberrypi.org/documentation/hardware/computemodule/
-Any acknowledgement that you may wish to provide can be included here.
-=== References Used ===
+[https://gitlab.com/hemanthkn/Cmpe240_autonomous_car_Fall15/ Android Source code repository from TopGun]
-=== Appendix ===
+=== Acknowledgement ===
-You can list the references you used.
+We would like to acknowledge the guidance and efforts of Professor Preetpal Kang. This project was an undertaking in his course CMPE244, Spring 2016.

@@ Line 817: / Line 817: @@
 === Project Source Code ===
-*  [https://sourceforge.net/projects/sjsu/files/CmpE_S2016/ Sourceforge Source Code Link]
+*  [https://gitlab.com/akshay-vijaykumar/Team_Ahava.git Gitlab Repository Link]
 == References ==

@@ Line 814: / Line 814: @@
 === Project Video ===
-[https://youtu.be/DqkPMwClIxo Demo video]
+[https://youtu.be/DqkPMwClIxo Video demo]
 === Project Source Code ===

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 == Conclusion ==
-To conclude, we were able to track a given target object using a single camera image processing although with some limitations. We already discussed the flaws of the imaging algorithm in section [http://www.socialledge.com/sjsu/index.php?title=S16:_Ahava#Flaws_of_Current_Algorithm 5.2.4.4] and what better approach can be adopted for this purpose. It was a great learning experience undertaking an image processing based project. We learnt a great deal about board bring-up, kernel customization, customizing OS, porting and cross compilation while setting up the platform. We also looked at isolating and identifying target objects and some of its characteristics in an image frame which we hope will be useful for us in the future. We also looked at multi-tasking and its associated issues.
+To conclude, we were able to track a given target object using a single camera image processing although with some limitations. We already discussed the flaws of the imaging algorithm in section [http://www.socialledge.com/sjsu/index.php?title=S16:_Ahava#Flaws_of_Current_Algorithm 5.2.4.4] and what better approach can be adopted for this purpose. We learnt a great deal about board bring-up, kernel customization, customizing OS, porting and cross compilation while setting up the platform. We also looked at isolating and identifying target objects and some of its characteristics in an image frame which we hope will be useful for us in the future. We also looked at multi-tasking and its associated issues like synchronisation between tasks, task priorities and their impact, etc.
 === Project Video ===
-Upload a video of your project and post the link here.
+[https://youtu.be/DqkPMwClIxo Demo video]
 === Project Source Code ===

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+|$10
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+|$596
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← Older revision		Revision as of 21:07, 24 May 2016
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	== Objectives & Introduction ==		== Objectives & Introduction ==
−	~~Show list of your objectives. This section includes the high level details of your project. You can write about the various sensors or peripherals you used to get your project completed.~~
−
	=== Team Members & Responsibilities ===		=== Team Members & Responsibilities ===

@@ Line 14: / Line 14: @@
 |-
 ! scope="row" style="text-align: center;"| Aditya Devaguptapu
-| Compute Module Board Bring-up, Android application
+| Compute Module board bring-up, Android application
 |-
 ! scope="row" style="text-align: center;"| [https://www.linkedin.com/in/ajaikrishna Ajai Krishna Velayutham]
-| Motor API Implementation, Bluetooth Module Interface, Compute Module Interface through UART.
+| Motor API Implementation, Bluetooth module interface, LPC1758 communication interface.
 |-
 ! scope="row" style="text-align: center;"| Akshay Vijaykumar
-| Write here
+| Image Algorithms implementation, Compute Module communication interface, Software integration and testing
 |-
 ! scope="row" style="text-align: center;"| Hemanth Konanur Nagendra
-| Write here
+| Compute module board bring-up, Hardware design of VisionCar, Compute module communication interface
 |-
 ! scope="row" style="text-align: center;"| Vishwanath Balakuntla Ramesh
-| Motor API Implementation, Hardware Design of Vision Car
+| Motor API Implementation, Hardware Design of VisionCar, LPC1758 communication interface
 |-