Challenge Climate Change

Optimizing Building Energy Use with Configurable Sensor Modules

Use QuickFeather to show how one could quickly creates prototypes for machine learning in education, research and production environments.

Use QuickLogic's Quickfeather with SensiML to detect/classify and track water usage in a washroom with the goal of saving water.

Water Flow Detection System is the detection of forgetting to stop the water using QuickFeather Development Kit and SensiML AI Software.

Monitoring for suboptimal production processes and future equipment faults/failure allows manufacturers to schedule maintenance effectively.

Monitoring

Conserve peatlands by predicting early sign of drying, drought or fire using ML on the edge using SensiML, Ubidots and Helium [SOLAR POWER]

Adjust and monitor the performance of home HVAC system to improve energy efficiency.

TinyML using QuickFeather along with SensiML can provide new, more effective tools to eliminate illegal logging in the world's rainforests.

Ever wonder which appliance is responsible for that humongous water bill? Me too. Introducing wapr: a non-invasive water usage-profiler.

A low-power solar-run device that detects illegal logging of wood at the edge using acoustic data.

Battery & Solar powered Sensor Hub with ML capabilities and supports a wide variety of Sensors and Communication Modules,

This project is participating the Challenge Climate Change contest, project title is "Noise pollution minimization for on-road vehicle".

SensiML Sensing and Control device to protect farmlands from future insects outbreaks and vector-borne disease due to climate change.

"Save the Tiger" is a project that aims to build a sensor node to keep track of Tiger activities to save its extinction.

ML Model create analytics & try to learn and find the relation between environment change & gives us prior alert about these climate change

This device can be used to monitor solar radiation. After the data is analyzed, it can be used to improve charging cycle of battery units.

IoT Enabled Forest Fire Detection and Early Warning System, and AI based analytics platform.

Tracing the variation of CO2 concentration

Solar radio detection to Climate Changes

Reduces power usage by automatically dimming rows-and-rows of office flouros based on ambient light using the DALI protocol.

Simple Single Axis Solar tracker.

With QuickFeather and SensiML, through a neural network, which indicates the type of bird we are hearing.

Combining SensiML and QuickFeather, I will detect a chainsaw and human voice in the forest.