BeagleBoard/GSoC/2020 Projects/Cape Compatibility

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Revision as of 12:31, 16 March 2020 by Lorforlinux (talk | contribs) (Contingency)
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Proposal for Cape compatibility layer for BeagleBone Black and BeagleBone AI

Student: Deepak Khatri
Mentors: Jason Kridner
GSoC: [N/A]


This project is currently just a proposal.


Completed all the requirements listed on the ideas page. the code for the cross-compilation task can be found here submitted through the pull request #130.

About you

IRC: lorforlinux
Github: Deepak Khatri
School: Netaji Subhas Univerity of Technology (NSUT) formely NSIT
Country: India
Primary language(s): Hindi,English
Typical work hours: 9AM - 7PM IST
Previous GSoC participation: I participated in GSoC2019 but i was not selected for the project. The project was to make a jekyll website for AIMA organization, Discussion on the project can be found here and the prototype i made can be found here. From the GSoC2019 i learned the importance of communication.

About your project

Project name: Cape compatibility layer for BeagleBone Black and BeagleBone AI


The idea of this project is to make the same userspace examples work, to use the same references to drivers for peripherals assigned to the same pins between Black and AI. For making the boards pin to pin compatible as in pin names, we are required to create new device tree sources include files. The file "am335x-bone-common-univ.dtsi" defines the pin names for P8 and P9 header of Black and we are required to implement a similar file for am5729 like "am5729-beagleboneai-common-univ.dtsi". To use serial ports and userspace I2cdev/spidev, aliases provided by the device trees would match. For GPIOs, examples would work using pin names under libgpiod.


Mar 30 Proposal complete, Submitted to
Apr 27 Proposal accepted or rejected
May 18 Pre-work complete, Coding officially begins!
May 25 Milestone #1, Introductory YouTube video
June 1 Milestone #2,
June 8 Milestone #3
June 15 18:00 UTC Milestone #4, Mentors and students can begin submitting Phase 1 evaluations
June 19 18:00 UTC Phase 1 Evaluation deadline
June 22 Milestone #5
June 29 Milestone #6
July 6 Milestone #7
July 13 18:00 UTC Milestone #8, Mentors and students can begin submitting Phase 2 evaluations
July 17 18:00 UTC Phase 2 Evaluation deadline
July 20 Milestone #9
July 27 Milestone #10
August 3 Milestone #11, Completion YouTube video
August 10 - 17 18:00 UTC Final week: Students submit their final work product and their final mentor evaluation
August 17 - 24 18:00 UTC Mentors submit final student evaluations

Experience and approach

I have done an internship on Embedded Electronics using BeagleBoneBlack. I completed this project called "Mausam national" during my internship. Mausam national is an air quality cum multiple gases ppm level acquisition system. The interesting part of the project is that it can connect to the internet and fetch the air quality data from my university's pollution center that they provide for everyone to use. we used that data for the calibration of the MQ sensors on-board. I was one of the quarter-finalists in IICDC2017 and during that period I worked with ARM-M4 based MSP432. I participated in Electronics Maker contest '17 there I presented a low-cost biopotential amplifier based on TL074 and won Ti's C2000 DSP for the project. I have worked on both hardware and software-based projects, hardware projects can be found on my youtube channel here and software projects can be found on my GitHub here.


I believe that if I get stuck on my project and my mentor isn’t around, I will use the resources that are available to me. Some of those information portals are listed below.

  1. Derek Molly's beagle bone guide provides all the information needed for getting up and running with my beagle.
  2. Content on is very useful for information that ranges from tutorials and walkthroughs to the level of very advanced stuff.
  3. BeagleBone cookbook from Mark A. Yoder & Jason Kridner is the best source for test projects during the prototyping period.
  4. The technical docs provided by TI on am3358 and am5729 are the best source for getting the insights on the SoC used in Black and Ai.


If successfully completed, what will its impact be on the community? Include quotes from community members who can be found on and


Is there anything else we should have asked you?