AI Checkers Robot

AI Checkers Robot

This project consists of constructing a robotic arm that plays checkers against a person. A computer vision algorithm will determine the position of the pieces based on input from a camera. These positions will be used by the AI player to decide the best move. The chosen move will then be executed by the the arm through a set of orders that will be provided to the servo motors connected to the arm. The code that controls the servos and runs the AI player calculations and the machine vision algorithm will be running on a raspberry pi.

FridgeBridge

Fridgebridge allows users to see and keep track of what goes in and out of their fridge through an app on their phone. Using Google Vision and Raspberry Pi for image recognition and load sensors to track scarcity, your fridge can send you your grocery list to make sure you don’t forget anything important and to alert you if your food has expired. It is also connected to the National Food Database to help you keep track of your calorie intake.

Magic Sleeve

Our project goal is create a device that allows those with vision impairment better navigate through life. We are using machine vision to read the data from the Raspberry Pi cameras and then we are mapping the data to a grid of vibration motors that correlates to the users location from an obstacle. 

JARC - Racecar Data Acquisition System & Emulator

Modern racecar telemetry systems are used professionally so the cost of these systems are not a concern such as it is to amateur racers. Entry level data loggers cost upwards of 600 dollars so we set a goal to create an affordable yet efficient data acquisition system for racecars as long as they have an OBD-II port.  Even though this has been attempted in the past, we have also set another goal to make the software we develop user friendly since past attempts were difficult to use.

PinPoint

Description:

PinPoint is a low-cost and low-power clap detection and locating system. Designed using two Analog Devices Blackfin DSP and two Raspberry Pi W in a mesh/client-server configuration allows for wide-area clap detection and location. The Blackfin DSP dedicates its full compute power towards analysing claps, while the Raspberry Pi Zero W handles connectivity and server interfacing.

Implementation

PinPoint is composed of several sub-systems known as a node. Each node contains the following:

Smart Power Strip

The Smart Power Strip (SPS) is motivated by current consumer interest in Internet of things Devices (IOT). Consumers desire the ability to automate their home environment. The SPS gives IOT funcality to non IOT devices. The SPS will allow a mobile client to control several outlets. The SPS will also send usage data collected to such a client.

BioTune

Wonder if machines can detect your likely mood based off non-invasive body sensor readings?  This project, BioTune, aims to incorporate feedback from biological sensors to not only determine your mood, but also more importantly play back an appropriate type of music to either motivate you or calm you.

Demo: https://www.youtube.com/watch?v=71acJs3_jto

 

Softwatch: A Smartwatch with Virtual Keyboard

Smartwatch is the biggest signal in this IoT age, but because some of its critical limitations such as input method, it kind gets hard time getting as popular as it is supposed to be. But there is always a way to solve the problem, think about what if the way you interect with your smartwatch is not limited in such a tiny screen anymore, it could be exended onto you own arm or wrist, we believe it will be a revolutionary change on Smartwatch, or even wearable devices, industry.

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