Identity Scanner Nose.js
Budget: €8 – €30 EUR
Description: Development of a Spanish DNI Scanner with Identity Verification using Selfie in Node.js
We are looking for a highly skilled Node.js developer to undertake the development of a Spanish DNI scanner that includes a selfie-based identity verification system. The main objective of this project is to create an application that allows users to scan their Spanish DNIs and verify their identity through a real-time captured photograph.
Responsibilities:
Design and implement a Spanish DNI scanning system using Node.js. This includes capturing and processing images of the documents to extract necessary data such as document number, full name, date of birth, among others.
Integrate a selfie-based identity verification module. This involves capturing a real-time photograph of the user and comparing it with the DNI image to ensure a match.
Utilize appropriate facial recognition and image processing libraries and tools for the selfie-based identity verification.
Implement robust security measures to ensure user privacy and protect scanned data and captured images.
Perform thorough testing of the DNI scanner and identity verification system to ensure accuracy and reliability.
We are looking for a highly skilled Node.js developer to undertake the development of a Spanish DNI scanner that includes a selfie-based identity verification system. The main objective of this project is to create an application that allows users to scan their Spanish DNIs and verify their identity through a real-time captured photograph.
Responsibilities:
Design and implement a Spanish DNI scanning system using Node.js. This includes capturing and processing images of the documents to extract necessary data such as document number, full name, date of birth, among others.
Integrate a selfie-based identity verification module. This involves capturing a real-time photograph of the user and comparing it with the DNI image to ensure a match.
Utilize appropriate facial recognition and image processing libraries and tools for the selfie-based identity verification.
Implement robust security measures to ensure user privacy and protect scanned data and captured images.
Perform thorough testing of the DNI scanner and identity verification system to ensure accuracy and reliability.