Displaying 1 to 6 from 6 results

howmanypeoplearearound - Count the number of people around you :family_man_man_boy: by monitoring wifi signals :satellite:


Count the number of people around you 👨‍👨‍👦 by monitoring wifi signals 📡.howmanypeoplearearound calculates the number of people in the vicinity using the approximate number of smartphones as a proxy (since ~70% of people have smartphones nowadays). A cellphone is determined to be in proximity to the computer based on sniffing WiFi probe requests. Possible uses of howmanypeoplearearound include: monitoring foot traffic in your house with Raspberry Pis, seeing if your roommates are home, etc.

itom - An Open Source Measurement, Automation and Evaluation Software Suite


Software suite for operating measurement systems, lab automation and data evaluation. It comes with Python as embedded scripting language; hardware components and algorithms are connected via a powerful plugin system. One main application of itom is the development and operation of sensor and measurement system for instance in a laboratory environment.

Framework for Playstation Move on PC (Windows)


This framework gives you the possibility to use the Playstation Move on PC (Windows only). With the Calibration Tool you can calibrate your device, so the framework can track it very accurate. You can test it as well with Calibration Tool. With the Move Framework, you ca...

C4F - Seismometer


The MSDN Coding4Fun Seismometer application uses an accelerometer sensor from Windows 7 to watch for movement. Watch the raw data values, see it graphed, and learn about writing realtime data to the Windows performance monitor.




OpenPMU


OpenPMU is a platform for the research, development and education of Synchrophasor technology.

EdgeML - This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India


This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.Machine learning models for edge devices need to have a small footprint in terms of storage, prediction latency and energy. One example of a ubiquitous real-world application where such models are desirable is resource-scarce devices and sensors in the Internet of Things (IoT) setting. Making real-time predictions locally on IoT devices without connecting to the cloud requires models that fit in a few kilobytes.