Integration of Facial Authentication (Recognition) on an Employee Dashboard using FACEIO, Next.js & Typescript.

• employee-next-app

  1 0 4.7 TypeScript

You can access the JSON data here, which is used to populate the Dashboard with employee information. Add it into the Dashboard component code above after the useEffect hook, there is a // Add JSON DATA here comment for clarity. 😉

• TypeScript

  1,318 98,461 9.9 TypeScript

  TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  

Basic understanding of Next.js and Typescript

• SurveyJS

  surveyjs.io featured

  Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

  

• pixlab

  8 111 7.0 Java

  PixLab Resources & Code Samples

When asked to select a Facial Recognition Engine for the application, choose PixLab Insight. The engine will be used for mapping each enrolled user’s face in real-time into a mathematical feature vector, known as a biometric hash, which is in turn stored in a sand-boxed binary index. This is used to protect the data of users when they are authenticated with FACEIO.

• Next.js

  2,063 121,749 10.0 JavaScript

  The React Framework

  

Basic understanding of Next.js and Typescript

• Visual Studio Code

  2,872 159,143 10.0 TypeScript

  Visual Studio Code

  

A package manager installed (npm), and a Code editor (VS Code or your favourite)

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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