I am happy to announce today's Winners of the Design For A Cause 2021 Design Challenge!
After 20+ weeks of designing, researching, prototyping, coding, and testing, with 188 Blog posts and 83 Videos created, the Design For A Cause 2021 Design Challenge has come to a close. Our challengers were tasked to use the Arduino Nano 33 IoT create something for the good of humanity and a cause close to their hearts.
The judges have rounded up their thoughts on the projects, and selected their favorites!
Arduino Nano 33 IoT
The board's main processor is a low power Arm Cortex-M0 32-bit SAMD21.
The WiFi and Bluetooth connectivity is performed with a module from u-blox, the NINA-W10, a low power chipset operating in the 2.4GHz range.
On top of those, secure communication is ensured through the Microchip ECC608 crypto chip.
Besides that, you can find a 6 axis IMU, what makes this board perfect for simple vibration alarm systems, pedometers, relative positioning of robots, etc
IoT support for:
*Or local equivalent
Winners of the Design For A Cause 2021 Pi Design Challenge
javagoza designed an IoT Device which monitors gas density and controls windows in a given area to prevent the spread of COVID-19. We loved the practical engineering, software, IoT dashboard and expandability of this project.
sunnyiut - Vital Care
The project goal was to design a continuous vital monitoring device which can ease the post recovery after care process for CoVid - 19. This device will send health parameters into the Cloud for telemedicine.
We loved the listed below finishers' works so much they come highly recognized for their amazing efforts.
Other finishers will be contacted directly to receive their prizes.
Here are a selection of our favorite finishers.
Open Source EMDR Machine
Victoria's project is to make a fully functional EMDR machine. EMDR is used by psychotherapists in the office setting to reduce patients’ stress and anxiety. It works very well for patients diagnosed with depression, panic attacks, PTSD, addictions, eating disorders. Now due to Covid-19 almost everyone even without diagnosis is stressed and anxious. However this machine costs over $500. My goal is to make a fully functional EMDR machine with some enhancements that will make it even more effective. I plan to make it as cost-efficient as possible, with the instructions and code published on the web. This way therapists from poverty-stricken countries, like Belarus, Ghana etc., can afford it and help people.
EnergySaverHighScore - Using MQTT, and a Raspberry Pi to Gamify green energy usage
Garden Controller - a simple Bluetooth Garden water controller
Tony used the MIT App and Build to build his Bluetooth Android app. The app can monitor soil moisture, temperature, pumps, and water level remotely.
Trakcore - Posture correction device
I think technology and community can help improve your posture. Here is how my solution can apply to orthopedic recommendations for better posture:
- Be conscious of your posture
- The Arduino Nano 33 IoT (MCU) has capability to collect position information from 6 axis IMU sensor, analyze it using a neural model, recognize activity and communicate results using BLE to a smartphone app to provide a real-time feedback to a person.
- Get up and move often
- MCU will detect lack of movements for an extended period of time and send a notification to the app
- Get breaks to stretch
- App will recommend stretching and MCU will measure compliance to the recommendation and publish it to the app
BIBoP - Brother Industry Band of Power - Telemedical device
BIBoP is a smart armband designed for remote patient monitoring and overall health assessment. It is based on the Arduino Nano 33 IoT with some external sensors. It uses AWS Lambda and MQTT for communication. Jakub is also making this project Opensource and you can check out the project's GitHub resources.
Dale created a telecocation robotic hand using the Adruino Nano IoT 33 and a set of EMG sensors. They monitored the signals from Dale's hand and flex the same electronic muscles in the robotic hand. This project also included 3D printed fingers and palm.
Smart Agro Probe
Vishwas created a solar powered remote sensor that used a microphone and temperature sensor to obtain and train a machine learning model. It runs on the Arduino Nano 33 Sense to detect cricket infestations and elephants.
Remote Agriculture Solution
An agricultural robot with custom Bluetooth App for safe pesticide dispersion.
Beats Per Minute Nano
Stephen created a IoT heartrate monitor using his work from the Azure Sphere Challenge and access the information using Blynk and AWS IoT Core.
smartChair - Stand up and Walking Aid. IoT Mobility aid
Hitesh's aim was to design and build a lightweight and easy-to-use device; it is a smartChair that would support the "sit-up" position by providing power assistance from an IoT App.
Alexandru created a smart IoT device to help staff in galleries monitor works of art in exhibits as well as the general public.