With QuickFeather and SensiML, through a neural network, which indicates the type of bird we are hearing.
The dogs are considered a valuable partner of human beings in times of danger, loneliness, and happiness.
Secure a future for endangered African elephants by a smart collar powered by Edge Impulse, Avnet IOT Connect and Helium Network.
This bracelet enables you to do basic calculations on the spot by simply gesturing what you want in the air.
Our device aims for people to get their mental and physical stimulation while being safe.
Our device aims to provide physical as well as mental stimulation in the largely isolated confines of our new COVID-19 reality.
A smart toilet that maintains a healthy environment analyzing air quality data using machine learning.
Artificial Intelligence (AI) based line Following robot is a robot that a sense of detecting the correct path for its route.
You can use ML tools from AWS and connect them to a Raspberry Pi to ID birds at your bird feeder.
A Wearable Medical device to stream the person's health data (ECG, Heart Rate, SpO2, Activity) in a secured AWS for remote monitoring
„Alexa, who is at the door?“ - A face recognizing Arduino camera using AWS Rekognition for my grandmother
Fruit detection at the edge using a ZCU104.
As Covid-19 is a contagious pandemic. We came with a solution to detect it from the comfort of your Mobile App. (includes a protect DIY Mask)
Track faces and receive notifications in real-time using a Raspberry Pi 4, Intel Neural Compute Stick, and AWS.
Alexa-controlled LEDs using Particle Photon in multiple languages (English, Hindi, Marathi).
Would like to solve the problems of water scarcity and lack of farming techniques in developing nations through the use of IoT and AI.
Monitor, sense, predict, and act!
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.
Smart Cap is an assistant for visually impaired which narrates the description of scene.
An Amazon Alexa and Raspberry Pi project that allows a user to know who exactly is knocking at their door using facial recognition.
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!
Use your Fitbit history to provide a recommendation on the best time of day to workout.
