Blues and our community regularly publish projects on Hackster to showcase the things we're building. Check out these guides for reference implementations, and for inspiration for the app you might want to build next.
Product Quality Analyzer using Unit V2 & Blues Wireless
Will guide you to make a Cellular IoT based Product Quality Analyzer with M5Unit V2.
Citizen Science Badge
This badge enables automated data collection using a microphone to collect data, and upload it using a cellular module.
Pothole Detection with Blues Wireless and Edge Impulse
A smooth ride for all; detect potholes on the move and report the according GPS coordinates for future reference and repair.
Detect and monitor the states of a 3D printer with TinyML
Deploy a TinyML model to detect the states of a 3D printer and monitor those states by sending them over cellular to the cloud.
Smart Helmet powered by Blues Wireless Notecard
Smart headgear that covers up your safety on road with tinyML-based crash detection and SOS alert over LTE-M
Web browser operated robot for gas leak detection
Do you want to build a powerful remote operated robot for environmental anomaly detection? You can do it on a budget.
ID Chicken Eggs with Thermal Images, ML, and Cellular IoT
In part one of a two-part project, we display thermal images on a TFT display, save them to flash, all to build an ML model w/ SMS alerts!
IoT AI-assisted Deep Algae Bloom Detector w/ Blues Wireless
Take deep algae images w/ a borescope, collect water quality data, train a model, and get informed of the results over WhatsApp via Notecard
Phototrap with object detection alarm
A Design Study to use ML with Edge Impluse to detect a object and use Blue Wireless hardware, notehub. io with Mqtt for notification
Old MacDonald had a FARM, and became a safer driver
Driver ID, location/velocity data, seatbelt, aggressive driving and alcohol detection for Fatal Accident Risk Mitigation (FARM) in vehicles.
Building a Cloud-Connected Person Sensor in 30 Lines of Code
Learn how to build a low-code connected ML + IoT project using the Blues Wireless Notecard and a Person Sensor from Useful Sensors.
Cold Storage Monitoring System Based on Cellular& Wi-Fi Mesh
In this project will guide you to build an ML Cluster Based Cold Storage Monitoring System with Cellular connectivity.
Appliances Identifier Smart Energy Meter
It measures Voltage, Current, Power, Power Factor and Energy, and at the same time, tells you which appliance is connected, cloud monitored.
Predictive Maintenance with Blues Notecard and Wio Terminal
Will guide you to build a cellular based predictive maintenance monitoring device with Blues Notecard, Edge Impulse, Qubitro & Wio Terminal.
Gate Keeper - An IoT Based Elephant Detection System
Will guide you to build an IoT based elephant detector based on Grove AI Vision Module and Wio Terminal.
Build a Litter Heatmap with a Blues Notecard & Edge Impulse
Learn how to create a prototype of a roadside litter detection device that maps trash in cities using Blues Wireless and Edge Impulse.
Building a Smart Helmet with the Blues Wireless Notecard
A smart helmet which can track the user location and detect a fall using a MPU6050 IMU based fall detector
Fall Detection System with Edge Impulse and Blues Wireless
An intelligent device for seniors which detects falls and sends emergency alert messages with location information using a cellular network
ML Anomaly Detection in Elevators w/ Edge Impulse & Notecard
A Blues Wireless Notecard provides cellular connectivity to a sound classification MCU. This is part of the elevator Digital Twin series.
Thermal Image Anomaly Detection with TinyML
Build an anomaly detection ML model with Edge Impulse based on thermal images, with data sent over cellular to the cloud via the Notecard.
What’s Destroying My Yard? Pest Detection With Raspberry Pi
My yard is under attack. That’s why I used a Raspberry Pi, a Pi camera, and some machine learning to catch my yard’s attackers in action.
Busted! Create an ML-Powered Speed Trap
Build a "speed trap" that uses ML to identify vehicles, a radar sensor to measure speed, and a cellular module to report data to the cloud.
Monitor the Analog World With TinyML
Learn how to add the IoT and TinyML to analog sensors with the Raspberry Pi, Edge Impulse, and the Notecard.
Remote Birding with TensorFlow Lite and Raspberry Pi
Learn how to use machine learning on a Raspberry Pi in a remote environment (complete with cellular connectivity and solar power!).