A simple desktop face recognition application using PyQt5
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Updated
May 6, 2019 - Python
A simple desktop face recognition application using PyQt5
Face Recognition Attendence with AWS Rekognition & Raspberry Pi3
Serverless image labelling using Lambdas, Rekognition, s3, DynamoDB.
This will read data from webcam or video and capture object names from video
An Automated Attendance system made using Raspberry Pi 3B.
Here I have designed the system of Smart KYC where you will be able to extract the data from the AADHAR-CARD like your Name, Date of Birth, Gender, Aadhar- number and Mobile number(if provided) and Address
automatic image tagger and image tag analysis
Face detection using AWS Recognition
This project is to make an application that helps alleviate the issues faced by visually impaired people. We have built a visual aid with the help of IoT devices and cloud resources that identifies obstacles in the IoT devices line of sight and warns the user about its presence. This application while being very simple in its idea will prove to …
Project for Internet of Things classes
Records facial image data in embedded system and uses AWS Rekognition to perform processing
Serverless function recognize image using AWS Rekognition and if its dog it sends to my whatsapp number using Twilio
A facial recognition micro service
Strike a Poze! An API for Private and Secure Identity Verification
aws api manage through python
CDK version 1.87.1
The aim of the workshop is to showcase how a Lambda function can consume messages from an SQS Queue, make a call to AWS Rekognition with the details from the SQS Queue message, retrieve the response, manipulate it and store the key data in a DynamoDB table, and finally send an SMS via AWS SNS.
Face Authentication System: A Python application using AWS for face recognition
24-1 커뮤니티자원과개발
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