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Oct 23: [FIX] Bug fixed 'pos_face_recognition'

pull/345/merge
Cybrosys Technologies 6 months ago
parent
142d5eb38c
commit
575711c334
32 changed files with 6934 additions and 217 deletions
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  1. 10
      pos_face_recognition/README.rst
  2. 23
      pos_face_recognition/__init__.py
  3. 31
      pos_face_recognition/__manifest__.py
  4. 22
      pos_face_recognition/controllers/__init__.py
  5. 38
      pos_face_recognition/controllers/pos_face_recognition.py
  6. 10
      pos_face_recognition/doc/RELEASE_NOTES.md
  7. 20
      pos_face_recognition/models/__init__.py
  8. 87
      pos_face_recognition/models/hr_employee.py
  9. 39
      pos_face_recognition/static/description/index.html
  10. 226
      pos_face_recognition/static/src/js/LoginScreen.js
  11. 1
      pos_face_recognition/static/src/js/face-api.min.js
  12. 64
      pos_face_recognition/static/src/js/pos_face_recognition.js
  13. BIN
      pos_face_recognition/static/src/js/weights/age_gender_model-shard1
  14. 618
      pos_face_recognition/static/src/js/weights/age_gender_model-weights_manifest.json
  15. BIN
      pos_face_recognition/static/src/js/weights/face_expression_model-shard1
  16. 606
      pos_face_recognition/static/src/js/weights/face_expression_model-weights_manifest.json
  17. BIN
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  18. 691
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  19. BIN
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  20. 397
      pos_face_recognition/static/src/js/weights/face_landmark_68_tiny_model-weights_manifest.json
  21. BIN
      pos_face_recognition/static/src/js/weights/face_recognition_model-shard1
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  23. 1462
      pos_face_recognition/static/src/js/weights/face_recognition_model-weights_manifest.json
  24. BIN
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  25. 402
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  26. BIN
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  27. 137
      pos_face_recognition/static/src/js/weights/ssd_mobilenetv1_model-shard2
  28. 1936
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  30. 273
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  31. 36
      pos_face_recognition/static/src/xml/LoginScreen.xml
  32. 14
      pos_face_recognition/views/hr_employee_view.xml

10
pos_face_recognition/README.rst
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@ -1,15 +1,14 @@
.. image:: https://img.shields.io/badge/license-LGPL--3-green.svg
:target: http://www.gnu.org/licenses/lgpl-3.0-standalone.html
:target: https://www.gnu.org/licenses/lgpl-3.0-standalone.html
:alt: License: LGPL-3
Pos Face Recognition
=======================
====================
This module helps you to login pos session by face recognition
Configuration
=============
Opencv [version:4.2.0]and face recognition need to be installed[
https://linuxize.com/post/how-to-install-opencv-on-ubuntu-20-04/]
* No additional configuration required
Company
-------
@ -22,7 +21,8 @@ General Public License, Version 3 (LGPL v3).
Credits
-------
Developer: (V16) Fathima Mazlin AM , Contact: odoo@cybrosys.com
Developer: (V16) Fathima Mazlin AM
Contact: odoo@cybrosys.com
Contacts
--------

23
pos_face_recognition/__init__.py
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@ -1,22 +1,25 @@
# -*- coding: utf-8 -*-
###############################################################################
################################################################################
#
# Cybrosys Technologies Pvt. Ltd.
# Copyright (C) 2023-TODAY Cybrosys Technologies(<https://www.cybrosys.com>)
# Author: Fathima Mazlin AM (odoo@cybrosys.com)
#
# This program is free software: you can modify
# it under the terms of the GNU LESSER GENERAL PUBLIC LICENSE (LGPL) as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
# Copyright (C) 2024-TODAY Cybrosys Technologies(<https://www.cybrosys.com>)
# Author: Fathima Mazlin AM (<https://www.cybrosys.com>)
#
# You can modify it under the terms of the GNU LESSER
# GENERAL PUBLIC LICENSE (LGPL v3), Version 3.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU LESSER GENERAL PUBLIC LICENSE for more details.
# GNU LESSER GENERAL PUBLIC LICENSE (LGPL v3) for more details.
#
# You should have received a copy of the GNU LESSER GENERAL PUBLIC LICENSE
# along with this program. If not, see <https://www.gnu.org/licenses/>.
# (LGPL v3) along with this program.
# If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
################################################################################
from . import controllers
from . import models

31
pos_face_recognition/__manifest__.py
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@ -1,25 +1,24 @@
# -*- coding: utf-8 -*-
###############################################################################
################################################################################
#
# Cybrosys Technologies Pvt. Ltd.
# Copyright (C) 2023-TODAY Cybrosys Technologies(<https://www.cybrosys.com>)
# Author: Fathima Mazlin AM (odoo@cybrosys.com)
#
# Copyright (C) 2024-TODAY Cybrosys Technologies(<https://www.cybrosys.com>)
# Author: Fathima Mazlin AM (<https://www.cybrosys.com>)
#
# This program is free software: you can modify
# it under the terms of the GNU LESSER GENERAL PUBLIC LICENSE (LGPL) as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
# You can modify it under the terms of the GNU LESSER
# GENERAL PUBLIC LICENSE (LGPL v3), Version 3.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU LESSER GENERAL PUBLIC LICENSE for more details.
# GNU LESSER GENERAL PUBLIC LICENSE (LGPL v3) for more details.
#
# You should have received a copy of the GNU LESSER GENERAL PUBLIC LICENSE
# along with this program. If not, see <https://www.gnu.org/licenses/>.
# (LGPL v3) along with this program.
# If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
################################################################################
{
'name': 'Pos Face Recognition',
'version': '16.0.1.0.0',
@ -32,16 +31,20 @@
'company': 'Cybrosys Techno Solutions',
'maintainer': 'Cybrosys Techno Solutions',
'website': 'https://www.cybrosys.com',
'depends': ['base', 'point_of_sale', 'hr'],
'depends': ['point_of_sale', 'pos_hr'],
'data': [
'views/hr_employee_view.xml'
],
'assets': {
'point_of_sale.assets': [
'pos_face_recognition/static/src/js/pos_face_recognition.js',
'pos_face_recognition/static/src/js/face-api.min.js',
'pos_face_recognition/static/src/js/LoginScreen.js',
'pos_face_recognition/static/src/xml/LoginScreen.xml',
],
},
'external_dependencies': {'python': ['cv2', 'face_recognition']},
'images': ['static/description/banner.png'],
'license': 'LGPL-3',
'installable': True,
'auto_install': False,
'application': True,
'application': False,
}

22
pos_face_recognition/controllers/__init__.py
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@ -0,0 +1,22 @@
# -*- coding: utf-8 -*-
################################################################################
#
# Cybrosys Technologies Pvt. Ltd.
#
# Copyright (C) 2024-TODAY Cybrosys Technologies(<https://www.cybrosys.com>)
# Author: Fathima Mazlin AM (<https://www.cybrosys.com>)
#
# You can modify it under the terms of the GNU LESSER
# GENERAL PUBLIC LICENSE (LGPL v3), Version 3.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU LESSER GENERAL PUBLIC LICENSE (LGPL v3) for more details.
#
# You should have received a copy of the GNU LESSER GENERAL PUBLIC LICENSE
# (LGPL v3) along with this program.
# If not, see <http://www.gnu.org/licenses/>.
#
################################################################################
from . import pos_face_recognition

38
pos_face_recognition/controllers/pos_face_recognition.py
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@ -0,0 +1,38 @@
# -*- coding: utf-8 -*-
################################################################################
#
# Cybrosys Technologies Pvt. Ltd.
#
# Copyright (C) 2024-TODAY Cybrosys Technologies(<https://www.cybrosys.com>)
# Author: Fathima Mazlin AM (<https://www.cybrosys.com>)
#
# You can modify it under the terms of the GNU LESSER
# GENERAL PUBLIC LICENSE (LGPL v3), Version 3.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU LESSER GENERAL PUBLIC LICENSE (LGPL v3) for more details.
#
# You should have received a copy of the GNU LESSER GENERAL PUBLIC LICENSE
# (LGPL v3) along with this program.
# If not, see <http://www.gnu.org/licenses/>.
#
################################################################################
from odoo import http
from odoo.http import request
class CashierImage(http.Controller):
"""
Defining class CashierImage
"""
@http.route('/cashier/image', type='json', auth='public')
def get_cashier_image(self, cashier_id):
"""
Function to get cashier image
:param cashier_id:
:return:
"""
cashier = request.env['hr.employee'].browse(cashier_id)
return cashier.image

10
pos_face_recognition/doc/RELEASE_NOTES.md
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@ -1,7 +1,13 @@
## Module <pos_face_recognition>
#### 31.10.2023
#### Version 16.0.1.0.0
#### 24.06.2024
#### Version 15.0.1.0.0
#### ADD
- Initial commit for Pos Face Recognition
#### 23.10.2024
#### Version 16.0.1.1.1
#### UPDT
- bug fix in face recognition.Converted functionality from Python to JS.

20
pos_face_recognition/models/__init__.py
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@ -1,22 +1,22 @@
# -*- coding: utf-8 -*-
###############################################################################
################################################################################
#
# Cybrosys Technologies Pvt. Ltd.
# Copyright (C) 2023-TODAY Cybrosys Technologies(<https://www.cybrosys.com>)
# Author: Fathima Mazlin AM (odoo@cybrosys.com)
#
# This program is free software: you can modify
# it under the terms of the GNU LESSER GENERAL PUBLIC LICENSE (LGPL) as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
# Copyright (C) 2024-TODAY Cybrosys Technologies(<https://www.cybrosys.com>)
# Author: Fathima Mazlin AM (<https://www.cybrosys.com>)
#
# You can modify it under the terms of the GNU LESSER
# GENERAL PUBLIC LICENSE (LGPL v3), Version 3.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU LESSER GENERAL PUBLIC LICENSE for more details.
# GNU LESSER GENERAL PUBLIC LICENSE (LGPL v3) for more details.
#
# You should have received a copy of the GNU LESSER GENERAL PUBLIC LICENSE
# along with this program. If not, see <https://www.gnu.org/licenses/>.
# (LGPL v3) along with this program.
# If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
################################################################################
from . import hr_employee

87
pos_face_recognition/models/hr_employee.py
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@ -1,88 +1,31 @@
# -*- coding: utf-8 -*-
###############################################################################
################################################################################
#
# Cybrosys Technologies Pvt. Ltd.
# Copyright (C) 2023-TODAY Cybrosys Technologies(<https://www.cybrosys.com>)
# Author: Fathima Mazlin AM (odoo@cybrosys.com)
#
# This program is free software: you can modify
# it under the terms of the GNU LESSER GENERAL PUBLIC LICENSE (LGPL) as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
# Copyright (C) 2024-TODAY Cybrosys Technologies(<https://www.cybrosys.com>)
# Author: Fathima Mazlin AM (<https://www.cybrosys.com>)
#
# You can modify it under the terms of the GNU LESSER
# GENERAL PUBLIC LICENSE (LGPL v3), Version 3.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU LESSER GENERAL PUBLIC LICENSE for more details.
# GNU LESSER GENERAL PUBLIC LICENSE (LGPL v3) for more details.
#
# You should have received a copy of the GNU LESSER GENERAL PUBLIC LICENSE
# along with this program. If not, see <https://www.gnu.org/licenses/>.
# (LGPL v3) along with this program.
# If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
import base64
import cv2
import face_recognition
from io import BytesIO
import numpy as np
from PIL import Image
import time
from odoo import api, models
################################################################################
from odoo import fields, models
class HrEmployee(models.Model):
"""
Inheriting hr_employee model to add a image field
"""
_inherit = 'hr.employee'
"""For comparing image """
@api.model
def camera_open(self, kwargs):
"""Capture the image from webcam and compare
with already saved image"""
cap = cv2.VideoCapture(0) # 0 is the index of the default camera
image = self.env['hr.employee'].browse(kwargs["id"]).image_1920
binary_data = base64.b64decode(image)
image_bytes = BytesIO(binary_data)
pil_image = Image.open(image_bytes)
np_image = np.array(pil_image)
img_saved = cv2.cvtColor(np_image, cv2.COLOR_BGR2RGB)
encode_image_saved = face_recognition.face_encodings(img_saved)
face_recognized = 0
start_time = time.time()
camera_time = 0
login_now = 0
while True:
ret, frame = cap.read() # Read a frame from the camera
cv2.imshow('frame', frame) # Display the frame
imgs = cv2.resize(frame, (0, 0), None, 0.25, 0.25)
imgs = cv2.cvtColor(imgs, cv2.COLOR_BGR2RGB)
face_current_frame = face_recognition.face_locations(imgs)
encode_current_frame = face_recognition.face_encodings(
imgs,
face_current_frame)
for encodeFace, faceLoc in zip(encode_current_frame,
face_current_frame):
matches1 = face_recognition.compare_faces(encode_image_saved,
encodeFace)
face_distance = face_recognition.face_distance(
encode_image_saved,
encodeFace)
match_index = np.argmin(face_distance)
elapsed_time = time.time() - start_time
if matches1[match_index]:
face_recognized = 1
if elapsed_time > 6:
login_now = 1
cap.release()
break
if login_now == 1:
break
if camera_time < 40 and login_now == 0:
camera_time = camera_time + 1
else:
cap.release()
cv2.destroyAllWindows()
break
if cv2.waitKey(1) == ord('q'):
break
cap.release() # Release the camera
cv2.destroyAllWindows() # Close all windows
return face_recognized
image = fields.Binary(string="Image", help="Add image for POS face login")

39
pos_face_recognition/static/description/index.html
View File

@ -74,21 +74,6 @@
</div>
</a>
</div>
<div class="col-sm-12 col-md-6 my-3">
<a href="#configuration">
<div class="d-flex justify-content-between align-items-center"
style="background-color: #f5f5f5; padding: 30px; width: 100%;">
<div>
<span style="color: #714B67; font-size: 24px; font-weight: 500; display: block;">Configuration</span>
<span
style="color: #714B67; font-size: 16px; font-weight: 400; color:#282F33; display: block;">View
configuration of this
module</span>
</div>
<img src="assets/misc/right-arrow.png" width="36" height="36"/>
</div>
</a>
</div>
<div class="col-sm-12 col-md-6 my-3">
<a href="#screenshots">
<div class="d-flex justify-content-between align-items-center"
@ -154,30 +139,6 @@
</div>
</div>
<!-- END OF FEATURES SECTION -->
<!-- CONFIGURATION SECTION-->
<div class="d-flex align-items-center"
style="border-bottom: 2px solid #714B67; padding: 15px 0px;" id="configuration">
<div class="d-flex justify-content-center align-items-center mr-2"
style="background-color: #F5F5F5; border-radius: 0px; width: 40px; height: 40px;">
</div>
<h2 class="mt-2"
style="font-family: 'Montserrat', sans-serif; font-size: 24px; font-weight: bold;">
Configuration
</h2>
</div>
<div class="row"
style="font-family: 'Montserrat', sans-serif; font-weight: 400; font-size: 14px; line-height: 200%;">
<div class="col-sm-12 py-4">
<p>Opencv [version:4.2.0] and face recognition need to be installed.</p>
<p><b>Following steps required to install Opencv in Ubuntu 20.04:</b></p>
<p>1. $ sudo apt update</p>
<p>2. $ sudo apt install libopencv-dev python3-opencv</p>
<p>Verify the installation by importing the cv2 module and printing the OpenCV version:</p>
<p>python3 -c "import cv2; print(cv2.__version__)"</p>
<p><b>Following steps required to install face recognition in Ubuntu 20.04:</b></p>
<p>1. $ pip install face_recognition </p>
</div>
</div>
<!-- SCREENSHOTS SECTION -->
<div class="d-flex align-items-center"

226
pos_face_recognition/static/src/js/LoginScreen.js
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@ -0,0 +1,226 @@
/** @odoo-module **/
const LoginScreen = require('pos_hr.LoginScreen');
import { patch } from "@web/core/utils/patch";
const {_t} = require('web.core');
const {useService} = require("@web/core/utils/hooks");
import { onMounted, useRef, useState } from "@odoo/owl";
var ajax = require('web.ajax');
const {Gui} = require('point_of_sale.Gui');
const {posbus} = require('point_of_sale.utils');
const MODEL_URL = '/pos_face_recognition/static/src/js/weights';
faceapi.nets.ssdMobilenetv1.loadFromUri(MODEL_URL)
faceapi.nets.faceLandmark68Net.loadFromUri(MODEL_URL)
faceapi.nets.faceRecognitionNet.loadFromUri(MODEL_URL)
faceapi.nets.tinyFaceDetector.load(MODEL_URL),
faceapi.nets.faceLandmark68TinyNet.load(MODEL_URL),
faceapi.nets.faceExpressionNet.load(MODEL_URL),
faceapi.nets.ageGenderNet.load(MODEL_URL)
// patching Login Screen
patch(LoginScreen.prototype, 'pos_hr/static/src/js/LoginScreen.js', {
// setup function
setup() {
this._super.apply(this, arguments);
this.root = useRef("LoginRoot");
this.ImageRoot = useRef("ImageRoot");
this.faceMatcher = null;
},
// overriding back function
async back() {
await this.loadImage()
},
// Function to loadimage
async loadImage() {
var cashier_id = this.env.pos.get_cashier().id
await ajax.jsonRpc('/cashier/image/', 'call', {
cashier_id: cashier_id,
}).then(async data => {
if (data) {
this.have_image = data
const employee_image = this.ImageRoot.el;
employee_image.src = "data:image/jpeg;base64," + data
await this.startWebcam()
} else {
await Gui.showPopup("ErrorPopup", {
'title': _t('Authentication failed'),
'body': _t('Selected cashier have no image..'),
});
location.reload();
}
});
},
// Function to start webcam
startWebcam() {
const video = this.root.el.querySelector('#video')
navigator.mediaDevices.getUserMedia(
{video: true, audio: false}
).then((stream) => {
video.srcObject = stream
}).catch((error) => {
console.error(error)
}).then(this.faceRecognition(video))
},
// Function to get the descriptions of cashier image
async getLabeledFaceDescriptions() {
const employee_image = this.ImageRoot.el;
const detections = await faceapi
.detectSingleFace(employee_image)
.withFaceLandmarks()
.withFaceExpressions()
.withFaceDescriptor();
return detections
},
// Function which compares the webcam image with cashier image
async faceRecognition(video) {
const labeledFaceDescriptors = await this.getLabeledFaceDescriptions()
if (!this.faceMatcher) {
this.faceMatcher = new faceapi.FaceMatcher([labeledFaceDescriptors.descriptor]);
}
this.root.el.querySelector('.screen-login').style.zIndex = -1
video.addEventListener('play', () => {
const canvas = faceapi.createCanvasFromMedia(video);
document.body.append(canvas);
const displaySize = {width: video.width, height: video.height}
faceapi.matchDimensions(canvas, displaySize)
setInterval(async () => {
const detections = await faceapi
.detectAllFaces(video)
.withFaceLandmarks()
.withFaceExpressions()
.withFaceDescriptors();
detections.forEach((detection) => {
const match = this.faceMatcher.findBestMatch(detection.descriptor);
if (match._distance < 0.4) { // Adjust threshold as needed
const modal = this.root.el.querySelector('#WebCamModal');
if (modal) {
modal.style.display = 'none';
this.props.resolve({
confirmed: false,
payload: false
});
this.trigger('close-temp-screen');
this.env.pos.hasLoggedIn = true;
this.env.posbus.trigger('start-cash-control');
video.srcObject.getTracks().forEach(track => track.stop());
canvas.remove();
}
} else {
Gui.showPopup("ErrorPopup", {
'title': _t('Unauthorized Access Detected'),
'body': _t('Face Recognition Failed..'),
});
location.reload();
}
});
}, 300);
})
},
});

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pos_face_recognition/static/src/js/face-api.min.js
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64
pos_face_recognition/static/src/js/pos_face_recognition.js
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@ -1,64 +0,0 @@
odoo.define('pos_face_recognition.pos_face_recognition', function (require) {
'use strict';
const LoginScreen = require('pos_hr.LoginScreen');
const Registries = require('point_of_sale.Registries');
const SelectCashierMixin = require('pos_hr.SelectCashierMixin');
const rpc = require('web.rpc');
const FaceRecognition = (LoginScreen) =>
class extends LoginScreen {
/**
For camera open
**/
async cameraOpen(employee) {
var self= this
await rpc.query({
model:'hr.employee',
method:'camera_open',
args: [employee]
}).then( function(data){
if (data == 1) {
self.env.pos.set_cashier(employee);
self.props.resolve({ confirmed: true, payload: true });
self.trigger('close-temp-screen');
} else {
self.showPopup('ErrorPopup',{
'title': "Unauthorized Access detected",
'body': "Face Recognition Failed",
});
return;
}
});
}
/**
For selecting the cashier
**/
async selectCashier() {
if (this.env.pos.config.module_pos_hr) {
const employeesList = this.env.pos.employees
.filter((employee) => employee.id !==
this.env.pos.get_cashier().id).map((employee) => {
return {
id: employee.id,
item: employee,
label: employee.name,
isSelected: false,
};
});
let {confirmed, payload: employee} =
await this.showPopup('SelectionPopup', {
title: this.env._t('Change Cashier'),
list: employeesList,
});
if (!confirmed) {
return;
}
if (employee) {
employee = await this.cameraOpen(employee);
}
return employee;
}
}
}
Registries.Component.extend(LoginScreen, FaceRecognition);
return FaceRecognition;
});

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pos_face_recognition/static/src/js/weights/age_gender_model-shard1
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pos_face_recognition/static/src/js/weights/age_gender_model-weights_manifest.json
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@ -0,0 +1,618 @@
[
{
"weights": [
{
"name": "entry_flow/conv_in/filters",
"shape": [
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pos_face_recognition/static/src/xml/LoginScreen.xml
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<?xml version="1.0" encoding="UTF-8"?>
<templates xml:space="preserve">
<!-- Replacing LoginScreen to add a modal-->
<t t-inherit="pos_hr.LoginScreen" t-inherit-mode="extension">
<xpath expr="//div[hasclass('login-overlay')]" position="replace">
<div class="login-overlay" t-ref="LoginRoot">
<div id="WebCamModal"
style="display: block; margin-top: 250px; margin-left: 780px; left: 0; top: 260px; width: 500px; background-color: transparent">
<div class="container" style="z-index: 1">
<video id="video" width="400" height="400" autoplay=""
muted=""/>
<img id="employee_image" t-ref="ImageRoot"
style="visibility: hidden; height: 10px; width: 10px"/>
</div>
</div>
<div class="screen-login">
<div class="login-title"><small>Log in to </small>
<t t-esc="shopName" />
</div>
<div class="login-body">
<span class="login-element">
<img class="login-barcode-img"
src="/point_of_sale/static/img/barcode.png" />
<div class="login-barcode-text">Scan your badge</div>
</span>
<span class="login-or">or</span>
<span class="login-element">
<button class="login-button select-cashier"
t-on-click="() => this.selectCashier()">Select Cashier</button>
</span>
</div>
</div>
</div>
</xpath>
</t>
</templates>

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pos_face_recognition/views/hr_employee_view.xml
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<?xml version="1.0" encoding="utf-8"?>
<odoo>
<!-- inherit hr.employee view-->
<record id="view_employee_form" model="ir.ui.view">
<field name="name">hr.employee.view.form.inherit.pos.face.recognition</field>
<field name="model">hr.employee</field>
<field name="inherit_id" ref="hr.view_employee_form"/>
<field name="arch" type="xml">
<xpath expr="//field[@name='pin']" position="after">
<field name="image"/>
</xpath>
</field>
</record>
</odoo>
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