Non-wearable and Zero-learning solution to perform auto SOS call when an elderly falls down
Track faces and receive notifications in real-time using a Raspberry Pi 4, Intel Neural Compute Stick, and AWS.
An Amazon Alexa and Raspberry Pi project that allows a user to know who exactly is knocking at their door using facial recognition.
So you want to control entry to your secret lair, huh? This project will allow you to use facial recognition using a Pi and AWS.
Smart Cap is an assistant for visually impaired which narrates the description of scene.
Have you ever imagined a house able to interact with its residents encouraging them to improve their habits, increase quality of life?
Track breathing during sleep using AI as an early detection system for sleep apnea and other sleep breathing disorders.
I combine an Arduino camera, AWS Lambda and Rekognition, and an Amazon Echo to determine if I've left the washing on my clothes line!
Python web application for a smart lock powered by Raspberry Pi. It features facial recognition, RFID, and control via a webapp.
Blind people have a big problem: they can’t see. Blindsight simulates a novel sense of sight with haptic feedback vibration motors and ML.
At Coolest Projects 2018, we showcased the Wia platform with a facial recognition Ferris wheel!
Build a facial recognition camera that can detect if someone is smiling (or not) and their age using Wia, Amazon Rekognition & Raspberry Pi.
Would like to solve the problems of water scarcity and lack of farming techniques in developing nations through the use of IoT and AI.
Find all your misplaced stuff with Amazon Alexa. Next time, you don't need to search entire house to locate your phone, remote etc!
„Alexa, who is at the door?“ - A face recognizing Arduino camera using AWS Rekognition for my grandmother
Monitor, sense, predict, and act!
Use your Fitbit history to provide a recommendation on the best time of day to workout.
Alexa-controlled LEDs using Particle Photon in multiple languages (English, Hindi, Marathi).
An AI nurse that can allow doctors in less fortunate areas identify at-risk patients, further developing widespread healthcare coverage.
Saving lives of vulnerable who are prone to accidents by sending emergency message to the best by hospital by sharing the location.
Using air quality metrics, effective forest fire detection and planning can be achieved.
Use AWS Rekognition and Wia Flow Studio to detect faces/face attributes, labels and text within minutes!