An Amazon Alexa and Raspberry Pi project that allows a user to know who exactly is knocking at their door using facial recognition.
Would like to solve the problems of water scarcity and lack of farming techniques in developing nations through the use of IoT and AI.
A smart toilet that maintains a healthy environment analyzing air quality data using machine learning.
„Alexa, who is at the door?“ - A face recognizing Arduino camera using AWS Rekognition for my grandmother
An AI nurse that can allow doctors in less fortunate areas identify at-risk patients, further developing widespread healthcare coverage.
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.
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.
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)
Use the Sony Spresense to gather key sensor data and use custom-trained Object Detection ML model to detect and count walrus
Fruit detection at the edge using a ZCU104.
RoHA Project is an IoT based Sensor Node that analyze a persons respiratory health and report its status on device and web application.
A PSoC 6 Microcontroller-based Water Leak Detector that detects a water leak inside the kitchen or toilet by analyzing the sound.
Use the Sony Spresense with camera board and LTE board to detect potholes and then notify via MQTT the GPS location!