I am excited to announce the winners of the Sci-Pi Design Challenge
Challengers Used the Raspberry Pi 4 Model B or any other Raspberry Pi family products to take on the challenge of helping scientists solve common problems that they might e...
As always, I'm a little short on time to complete the project on time. Some parts are missing for final assembly. Therefore, I publish a test assembly for demonstration.
{gallery}Assembly
Pollinator Pollster (Powered by Pi)
In this, the final post for this project, I would like to firstly share with you the web domain for https://pollinatorpollster.cloud/, this is the website hosted on the Raspberry Pi 4 on which you can see the data ...
Introduction
For this project, I wanted to work on creating a device and a GUI that are fairly cheap and easy to use to conduct neuroscience projects. When I was working for my bachelor's senior design project, I was using a BCI from the lab that cos...
This will be a rather short blog post. In the previous one, I briefly discussed the challenges of communication. I also read a very insightful comment that I will take into account for future projects where I need to observe the behavior of microcont...
Final product
In this final blog, I would like to showcase the completed Project in a video. Thank you very much for your attention :)
community.element14.com/.../Pi_2D00_Sense.mp4
Design and Build the Structure
Table of Contents
1 Design the Reflective Telescope
2 Build the Structure
3 Run the Python Code
4 Put Together
5 Summary
1 Design the Reflective Telescope
Thank for the freeware Mynewton, the design can ...
Web Interface
In this blog, I want to show you an improvement I added to my project, which is uploading sensor data to the web. I feel that having the data on the screen and the monitor connected to the Raspberry Pi is something simple, it could be d...
Pollinator Pollster
This is going to be a technically-focused blog, walking through each major system element in the detection process, which I wanted to cover in detail now that the prototype sensor is 'live' and installed in the garden for ...
GPT4ALL + RP4 = Dead End (for now)
I've tried different LLM models with GPT4ALL and so far I was not able to find one, which can process inference on RPi 4B fast enough. I've described some of these tests in my previous blog post. I was close t...
In this blog, we shall see how to assemble all the parts identified in the previous blog. The first device that we will assemble is the UPS Plus V6 For Raspberry Pi. And followed The steps to assemble this hardware are pretty straightforward. Can qui...
Introduction
As mentioned on Post #1 and #2, I wanted to develop a device easy to use and powerful. The most common portable BCIs on the market connect to PC via Bluetooth using a Bluetooth dongle. I wanted to remove a dongle because I see it really ...
In this blog, I would like to discuss the limited resources available when working with a basic microcontroller like the ATtiny85. I was surprised to find that while communication is straightforward with other boards, it is not as simple when it come...
Last time, I mentioned that I would try to build something on a breadboard to demonstrate its functionality. So, I took on the task of constructing my circuit using local components. It was quite challenging to find the IR2104 driver, and although I ...
General Considerations for Using LLM
While large language models are very powerful, their power requires a thoughtful approach. Here are some technical considerations.I think are very important:
Context window limit - most of the current models...
This is going to be the final blog for Sci-Pi Design Challenge. In this blog I will not show any new work rather I will give a quick summary of my previous blogs. Without this I published total 9 blogs on my work. My target was to read a digital disp...
In my last blog I did successful OCR of a multimeter reading using Raspberry Pi 4. In this blog I will show you how you can upload the OCR data to cloud for your IoT application. Sending data to cloud is very important for any IoT application. So, I ...
Building the Graphical User Interface
The most important aspect of the sensors we connected in the previous blog is the data they provide. Therefore, it is important to display this data in an organized and understandable manner for all scientists wh...
In my previous blog I shown in step by step how we can take and preprocess an image for successful OCR using Raspberry Pi. I explained every step with example code, input and the output of the step. At the end of the last blog I added the source code...
Pollinator Pollster (Powered by Pi)
One week to go until the contest deadline, but things are coming together now - exciting and slightly nerve-wracking in equal measure! In this blog post I'll be showcasing the sensor assembly, and demonstrating som...
Project Summary
In my contest project, I documented the process of measuring air quality using Raspberry Pi and the SPS30 particle matter sensor. I shared my journey through a series of blog posts.
The first post, "Introduction," gives an o...
The Finished Graphic User Interface
After working for so long, I finally finished the GUI. The GUI has three main functions:
Plotting: it plots in real time from 8 channels
Motor Imagery Tasks: with this function, everybody can do a simple motor ima...
In this blog, I will show you step by step how to connect each of the sensors that make up Pi-Sense. To do this, you will need the following:
Materials
- Raspberry Pi 4 Model B
- Protoboard
- LCD I2C display
- Temperature and humidity sensor
- Motion...
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