Sensor – Transducer – Detector Projects

Touchpad Figure Recognition Using Atmega644

Our project implements a touchpad input system which takes user input and converts it to a printed character. Currently, the device only recognizes the 26 letters of the alphabet, but our training system could be easily generalized to include any figure of completely arbitrary shape, including alphanumerics, punctuation, and other symbols. A stylus is used

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Sign language translator Using Atmega644

Introduction “A portable Glove Based Sign Language Translator with LCD Display, Speech Synthesis, and Sign Language Education Software” Sign language is a language through which communication is possible without the means of acoustic sounds. Instead, sign language relies on sign patterns, i.e., body language, orientation and movements of the arm to facilitate understanding between people.

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Heliowatcher solar tracker Using Atmega644

Documentation HelioWatcher: Automatic Solar Panel Control Jason Wright (jpw97) and Jeremy Blum (jeb373) Introduction We designed and built a system to automatically orient a solar panel for maximum efficiency, record data, and safely charge batteries. Using a GPS module and magnetometer, the HelioWatcher allows the user to place the system anywhere in the world without

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Remote Controlled DMM With Minimum Mass Wireless Coupler Using Atmega644

Introduction In this project, we built a digital multi-meter utilizing near-field communication concept. The system established a bidirectional wireless communication between the measurement unit and the base unit. The measurement unit is in charge of measurement and transmitting the result to the base, while the base is the user interface for measurement mode selection and

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FaceAccess — A Portable Face Recognition System Using Atmega644

We created a standalone face recognition system for access control. Users enroll in the system with the push of a button and can then log in with a different button. Face recognition uses an eigenface method. Initial testing indicates an 88% successful login rate with no false positives. There are currently commercially available systems for

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Human Tracking Fan System Using Atmega644

For our final project we decided to construct a human tracking rotating platform that supports a fan. The platform, using dual element Pyroelectric Infrared Sensors (PIR) sensors, rotates itself independently to direct air flow to whatever position a person moves to. In addition, the fan includes another setting that allows precise rotation between two people.

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