A simple face recognition using ESP32 Microcontroller with camera, and leveraging cloud-based inference powered by Azure Custom Vision.
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A simple face recognition using ESP32 Microcontroller with camera, and leveraging cloud-based inference powered by Azure Custom Vision.
Workshop for student hackathons focused on IoT dev
๐๏ธ 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.
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 ใๅฉ็จใใ ็ปๅๅๆใขใใช (202111 ใขใใใใผใ)
Sample Xamarin.Forms app used on an episode of the AI Show
์ธ๊ณต์ง๋ฅ์ด ์ฝ์ ๋ํ ๊ณต๋ถ๋ฅผ ํ๊ณ , ๊ณต๋ถํ ๋ฐ์ดํฐ๋ก ์ฝ์ ๊ตฌ๋ถํ๋ ํ๋ก์ ํธ ์ ๋๋ค.
Hachy Android App
Application developed in .NET MAUI (iOS and Android) using Azure CustomVision to recognize plants attacked by pests. ๐ฑ ๐ ๐ ๐ฑ
TensorFlow Lite example with Xamarin
Azure IoT Edge + Custom Vision based self-checkout scenario demo
Microsoft Cognitive Services ใไฝฟใฃใ AI ๆฉ่ฝใฎใใณใบใชใณ (2018/07็)
CircuitPython prediction library for the Azure custom vision SDK
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.
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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