A simple face recognition using ESP32 Microcontroller with camera, and leveraging cloud-based inference powered by Azure Custom Vision.
A simple custom vision object detector sample app
Workshop for student hackathons focused on IoT dev
This is a small UI based Python application for controlling DJI Tello Drone with additional modes to perform live face/object/gesture recognition and more
Microsoft Cognitive Services を利用した 画像分析アプリ (202111 アップデート)
🖍️ This project combines multiple operations in Microsoft Azure Cognitive Services into one GUI, including QnA Maker, LUIS, Computer Vision, Custom Vision, Face, Form Recognizer, Text To Speech, Speech To Text and Speech Translation. It's very user-friendly for users to implement any operation mentioned above.
Sample Xamarin.Forms app used on an episode of the AI Show
인공지능이 약에 대한 공부를 하고, 공부한 데이터로 약을 구분하는 프로젝트 입니다.
Hachy Android App
Application developed in .NET MAUI (iOS and Android) using Azure CustomVision to recognize plants attacked by pests. 🌱 🐛 🔍 📱
Azure IoT Edge + Custom Vision based self-checkout scenario demo
TensorFlow Lite example with Xamarin
Microsoft Cognitive Services を使った AI 機能のハンズオン (2018/07版)
This blog post shows how to build loosely coupled pipeline for Azure custom vision model.
This is the sample code for my experiment on creating a posture detection system. It runs inside a browser. It uses a webcam attached on top of a desktop monitor to continuously monitor user's posture. If the user is slouching or tilting forward, the code generates an alarm.
Hackathon - UMHACKATHON 2021 - AINARI - A centralized system to monitor paddy field by using image classification method and data from IOT to predict possible upcoming disease with the help of Microsoft Azure.
A tool to export and import from a custom vision of Microsoft to another
Casssava Leaf Disease Detection helps famers to detect cassava leaf diseases. Technologies used are Azure Cognitive Services, Azure Container Apps, Azure Key Vault, Managed Identity
A mobile application that can recognise a restaurant logo and in near real-time, display pertinent information about the restaurant to the user.
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