Invention, intellectual property and income
info
Develop a plan for dissemination of your final project Complete your final project, tracking your progress:
- What tasks have been completed, and what tasks remain?
- What's working? what's not?
- What questions need to be resolved?
- What will happen when?
- What have you learned?
Prepare drafts of your summary slide (presentation.png, 1920x1080) and video clip (presentation.mp4, 1080p HTML5, < ~minute, < ~25 MB) and put them in your website’s root directory
Dissemination of final project
| Period | Plan |
|---|---|
| 28th May-4th June | Submit all the documentation, and the draft of slide and video |
| 4th June-12th June | Optimize the slide and video |
| 12th June | Persentation |
What tasks have been completed, and what tasks remain?
| Specification | Importance | State |
|---|---|---|
| Design a PCB for the main game | Essential | Completed |
| Design the outlook of the main game | Essential | Completed |
| Set up the wireless input to send signal | Essential | Completed |
| Build up a new PCB for the wand | Essential | Completed |
| Adding LED strip and motion sensor on the wand | Essential | Completed |
| Upgrade the outlook of the character model | Optional | On processing |
| Adding sound effect | Optional | Remain |
What's working?
- Wireless communication By using ESP-NOW communication, the signal from the wand can be sent to the main game stably.
- Motion detection By the MPU6050, the wand can detect the motion of the player, and set as a trigger to send the signal to the main game.
- The reaction of the main game After receive the signal from the wand, the light effect of the LED strip and the movement of the servo will be activated.
What have you learned?
- Detect the motion and set it as a trigger.
- Make up my own PCB from design to manufacture.
- Integration of different system.
Intellectual Property Considerations
- I do not plan to patent this project.
- Instead, I favor open innovation and sharing, to encourage collaboration.
- The components used (ESP32-C3, camera modules, etc.) are open and accessible.
- Any machine learning model used will be based on open-source alternatives (e.g., Whisper, TFLite)
tip
This work by CHAN LONG WAI is licensed under a MIT License.
MIT License
The MIT License is a permissive free software license originating from the Massachusetts Institute of Technology (MIT). It imposes minimal restrictions on the reuse of software, making it highly compatible with other licenses, including many copyleft licenses. Notably, MIT licensed software can be integrated into GNU General Public License (GPL) software, though the reverse is not permissible.
MIT License
Copyright (c) [2025] [CHAN LONG WAI]
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
