PixLab | Symisc Systems symisc

## tiny_dream_boilerplate.cpp
#include "tinydream.hpp"
auto main() -> int {

  return 0;
}

## check_facial_id.py
import requests
import json

# Perform authenticity check of a given Facial ID.
# In other words, make sure the supplied Facial ID is valid & registered on this FACEIO application.
# Refer to https://faceio.net/rest-api for additional information
req = requests.get('https://api.faceio.net/checkfacialid',params={
	"fid":"FACIAL_ID", # Target Facial ID being checked
	"key": "FACEIO_APP_API_KEY" # Your FACEIO Application API Key. Retrieve this key from the Application Manager on the console at: https://console.faceio.net
})

## faceio_integration_boilerplate.html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>FACEIO Integration Boilerplate</title>
<style>
	.container {
		text-align: center;
	}

## scan_us_driver_license_id.php
<?php
/*
 * Usage sample of the US Driver's License card scanner, API endpoint from PixLab - https://pixlab.io/cmd?id=docscan.
 */
/*
 * PixLab PHP Client which is just a single class PHP file without any dependency that you can get from Github
 * https://github.com/symisc/pixlab-php
 */
require_once "pixlab.php";
# Given a submitted/uploaded, US Driver License image document from any of the 50 US state

## scan_us_driver_license_id.py
import requests
import json

# Given a submitted/uploaded, US Driver License image document from any of the 50 US state
# crop the license holder face, and extract all document fields (see below) ready to be consumed by your application.
#
# PixLab recommend that you connect your AWS S3 bucket via the dashboard at https://pixlab.io/dashboard
# so that any extracted face is automatically stored on your S3 bucket rather than the PixLab one.
# This feature should give you full control over your analyzed media files.
#

## pixlab_scan_passport_local_image_upload.py
import requests
import json

# Given a Passport document, extract the passport holder face and convert/parse all Machine Readable Zone
# to textual content ready to be consumed by your application.
#
# PixLab recommend that you connect your AWS S3 bucket via the dashboard at https://pixlab.io/dashboard
# so that any extracted face or MRZ crop is automatically stored on your S3 bucket rather than the PixLab one.
# This feature should give you full control over your analyzed media files.
#

## delete_facial_id.py
import requests
import json

# Programmtically delete (total purge) a Facial ID, its associated payload data,
# and biometric hash from a given FACEIO application - Refer to https://faceio.net/facialid for additional information
req = requests.get('https://api.faceio.net/deletefacialid',params={
	"fid":"FACIAL_ID", # Target Facial ID to purge from this FACEIO application. Find out more information about the Facial ID on https://faceio.net/facialid
	"key": "FACEIO_APP_API_KEY" # Your FACEIO Application API Key. Retrieve this key from the Application Manager on the console at: https://console.faceio.net
})
reply = req.json()

## uae_emirates_id_card_scan.py
import requests
import json

# Given a government issued ID card from the UAE (emirates). Extract the holder's face and d aisplay all scanned fields.
#
# PixLab recommend that you connect your AWS S3 bucket via your dashboard at https://console.pixlab.io/
# so that any cropped face or MRZ crop is stored automatically on your S3 bucket rather than the PixLab one.
# This feature should give you full control over your analyzed media files.
#
# https://pixlab.io/cmd?id=docscan&&country=uae for additional information.

## uae_emirates_id_card_scan.php
<?php
/*
 * Usage sample of the UAE ID card scanner API endpoint from PixLab - https://pixlab.io/cmd?id=docscan.
 */
/*
 * PixLab PHP Client which is just a single class PHP file without any dependency that you can get from Github
 * https://github.com/symisc/pixlab-php
 */
require_once "pixlab.php";
# Given a government issued ID card from the UAE (emirates). Extract the holder's face and display all scanned fields.

## pixlab_random_pixelgenerate.php
<?php
/*
 * PixLab PHP Client which is just a single class PHP file without any dependency that you can get from Github
 * https://github.com/symisc/pixlab-php
 */
require_once "pixlab.php";

# Generates a set of random pixels of desired Width & Height.
# This endpoint is similar to the /newimage endpoint except that the image contents is filled with random pixels.
# This is very useful for generating background (negative) samples for feeding Machine Learning training algorithms.
	import requests
	import json

	# Perform authenticity check of a given Facial ID.
	# In other words, make sure the supplied Facial ID is valid & registered on this FACEIO application.
	# Refer to https://faceio.net/rest-api for additional information
	req = requests.get('https://api.faceio.net/checkfacialid',params={
	"fid":"FACIAL_ID", # Target Facial ID being checked
	"key": "FACEIO_APP_API_KEY" # Your FACEIO Application API Key. Retrieve this key from the Application Manager on the console at: https://console.faceio.net
	})
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>FACEIO Integration Boilerplate</title>
	<style>
	.container {
	text-align: center;
	}
	<?php
	/*
	* Usage sample of the US Driver's License card scanner, API endpoint from PixLab - https://pixlab.io/cmd?id=docscan.
	*/
	/*
	* PixLab PHP Client which is just a single class PHP file without any dependency that you can get from Github
	* https://github.com/symisc/pixlab-php
	*/
	require_once "pixlab.php";
	# Given a submitted/uploaded, US Driver License image document from any of the 50 US state
	import requests
	import json

	# Given a Passport document, extract the passport holder face and convert/parse all Machine Readable Zone
	# to textual content ready to be consumed by your application.
	#
	# PixLab recommend that you connect your AWS S3 bucket via the dashboard at https://pixlab.io/dashboard
	# so that any extracted face or MRZ crop is automatically stored on your S3 bucket rather than the PixLab one.
	# This feature should give you full control over your analyzed media files.
	#
	import requests
	import json

	# Programmtically delete (total purge) a Facial ID, its associated payload data,
	# and biometric hash from a given FACEIO application - Refer to https://faceio.net/facialid for additional information
	req = requests.get('https://api.faceio.net/deletefacialid',params={
	"fid":"FACIAL_ID", # Target Facial ID to purge from this FACEIO application. Find out more information about the Facial ID on https://faceio.net/facialid
	"key": "FACEIO_APP_API_KEY" # Your FACEIO Application API Key. Retrieve this key from the Application Manager on the console at: https://console.faceio.net
	})
	reply = req.json()
	import requests
	import json

	# Given a government issued ID card from the UAE (emirates). Extract the holder's face and d aisplay all scanned fields.
	#
	# PixLab recommend that you connect your AWS S3 bucket via your dashboard at https://console.pixlab.io/
	# so that any cropped face or MRZ crop is stored automatically on your S3 bucket rather than the PixLab one.
	# This feature should give you full control over your analyzed media files.
	#
	# https://pixlab.io/cmd?id=docscan&&country=uae for additional information.
	<?php
	/*
	* Usage sample of the UAE ID card scanner API endpoint from PixLab - https://pixlab.io/cmd?id=docscan.
	*/
	/*
	* PixLab PHP Client which is just a single class PHP file without any dependency that you can get from Github
	* https://github.com/symisc/pixlab-php
	*/
	require_once "pixlab.php";
	# Given a government issued ID card from the UAE (emirates). Extract the holder's face and display all scanned fields.